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  • Keeping Archives Online Learning Series

    1 July 2016 - 31 December 2025

    Keeping Archives Online Learning Series https://dresa.org.au/events/keeping-archives-online-learning-series Our pioneering online learning program, based on our respected publication Keeping Archives, was launched in 2016. It provides a new level of learning in the archives and records profession, filling a gap between a tertiary course and on-the-job experience. These courses are ideal for: - People who are new to archives and need a grounding in archival principles; - Students who wish to enhance the archival component of their training; - Professional archivists who may require a refresher in new archival methods and theory – e.g. emergent web technologies and social media platforms; - Statutory organisations whose staff need records and archives knowledge as part of their responsibilities. - Organisations with volunteers who engage in archival work and need basic knowledge. 2016-07-01 09:00:00 UTC 2025-12-31 17:00:00 UTC Australian Society of Archivists Australia Australia Australian Society of Archivists office@archivists.org.au [] [] [] open_to_all ArchivesRecordsArvchivingRecordkeeping
  • Using Advanced Networking on the ARDC Nectar Research Cloud

    2 December 2022

    Using Advanced Networking on the ARDC Nectar Research Cloud https://dresa.org.au/events/using-advanced-networking-on-the-ardc-nectar-research-cloud-836ad8a2-5350-4b0a-8764-7a1176c48bea Learn the fundamentals of using Advanced Networking on Nectar. 2022-12-02 11:00:00 UTC 2022-12-02 12:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 25 [] open_to_all Science & TechnologyHigh Tech
  • Introduction to Unix

    5 - 6 December 2022

    Introduction to Unix https://dresa.org.au/events/introduction-to-unix-079e5b5c-0387-441c-88bf-32b786a38f5b The Unix shell has been around longer than most of its users have been alive. It has survived so long because it’s a power tool that allows people to do complex things with just a few keystrokes. More importantly, it helps them combine existing programs in new ways and automate repetitive tasks so they aren’t typing the same things over and over again. Use of the shell is fundamental to using a wide range of other powerful tools and computing resources (including 'high-performance computing' supercomputers). This Software Carpentry workshop will start you on a path towards using these resources effectively. 2022-12-05 09:00:00 UTC 2022-12-06 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Doing Credible Qualitative Research

    5 - 8 December 2022

    Doing Credible Qualitative Research https://dresa.org.au/events/doing-credible-qualitative-research Qualitative researchers often try to do the same as quantitative research but with smaller samples. This master-class offers lectures and data workshops covering the latest approaches to key areas of qualitative research. It outlines threats to credibility and shows how to make your research credible. * Finding a topic in your data (as opposed to quantitative research, qualitative research is often inductive; discovering unexpected things in your data) * Mixed methods. (Mixing qual and quant data. Using multiple qualitative methods. Advantages and limitations) * How many cases do you need? (sampling to social processes not to populations) * Applying qualitative research to social problems and practice (avoiding pre-defined policy aims; discovering practical relevance at the conclusion of a research project 2022-12-05 10:00:00 UTC 2022-12-08 12:30:00 UTC ACSPRI online, online, Australia online online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchMixed MethodsQualitative methods
  • Learn to Program: Python at LTU Online

    6 - 7 December 2022

    Learn to Program: Python at LTU Online https://dresa.org.au/events/learn-to-program-python-at-ltu-online-7116d291-8e22-42b2-a773-a589bded8577 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the JupyterLab interface for programming - Basic syntax and data types in Python - How to load external data into Python - Creating functions (FUNCTIONS) - Repeating actions and anylsing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/python101).** 2022-12-06 09:30:00 UTC 2022-12-07 12:30:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at UniSA Online

    6 - 7 December 2022

    Learn to Program: R at UniSA Online https://dresa.org.au/events/learn-to-program-r-at-unisa-online-b6c08fb8-4293-4788-a38f-19f30903f43b R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2022-12-06 09:30:00 UTC 2022-12-07 12:30:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Experimental Design

    6 December 2022

    Experimental Design https://dresa.org.au/events/experimental-design-93e3d31f-2311-4fc4-bd58-acec23df2053 This presentation and workshop focuses on the key aspects of experimental design that researchers and students may need to apply in their research. Higher degree research students engaging in new research are especially invited to attend. During the workshop there will be the opportunity to discuss your own research question and associated experimental design. The workshop will include the following topics: - your research question - experimental validity - randomisation and bias - blinding and bias - blocking and confounding - fixed and random effects - replication, experimental units No pre-requisite knowledge of statistical methods is required. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the _**In person**_ ticket option. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2022-12-06 09:30:00 UTC 2022-12-06 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Longitudinal Trials with REDCap at LTU Online

    6 December 2022

    Longitudinal Trials with REDCap at LTU Online https://dresa.org.au/events/longitudinal-trials-with-redcap-at-ltu-online-c403f9d5-0760-41a5-a9f5-25442f171068 REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap's more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 - Managing Data Capture and Surveys with REDCap. #### You'll learn: - Build a longitudinal project - Manage participants throughout multiple events - Configure and use Automated Survey Invitations - Use Smart Variables to add powerful features to your logic - Take advantage of high-granularity permissions for your collaborators - Understand the data structure of a longitudinal project #### Prerequisites: This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our [Data Capture and Surveys with REDCap](https://intersect.org.au/training/course/redcap101/) workshop. **For more information, please click [here](https://intersect.org.au/training/course/redcap201).** 2022-12-06 10:00:00 UTC 2022-12-06 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []
  • Excel for Researchers at ACU Online

    6 - 7 December 2022

    Excel for Researchers at ACU Online https://dresa.org.au/events/excel-for-researchers-at-acu-online Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2022-12-06 10:00:00 UTC 2022-12-07 13:00:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • Power and Sample Size Calculation

    6 December 2022

    Power and Sample Size Calculation https://dresa.org.au/events/power-and-sample-size-calculation-9c2d33ba-68ef-4b78-89d4-8e654992eef3 This is the registration page for:**Power and Sample Size Calculation**, run by the:Sydney Informatics Hub. This workshop covers the theory and concepts of power analysis and includes worked examples using G\*Power software.: Attendees will follow the examples on their own laptop PC or Mac. It is essential you have G\*Power pre-installed on your machine prior to the workshop. Download software from the G\*Power website:[here](http://www.psychologie.hhu.de/arbeitsgruppen/allgemeine-psychologie-und-arbeitspsychologie/gpower.html).: (It's free, and available for both Windows and MacOS) **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date.: Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,**:etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-12-06 11:30:00 UTC 2022-12-06 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Intro to REDCap (webinar)

    6 December 2022

    Intro to REDCap (webinar) https://dresa.org.au/events/intro-to-redcap-webinar-280ceeb0-504d-4633-b726-f7e12ce12cac Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@uni.sydney.edu.au) **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2022-12-06 13:00:00 UTC 2022-12-06 15:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Data Management Plans (DMPs) Interest Group #3

    6 December 2022

    Data Management Plans (DMPs) Interest Group #3 https://dresa.org.au/events/data-management-plans-dmps-interest-group-3 We are an Australasian interest group for people interested in discussing, building and improving Data Management Plans (DMPs). 2022-12-06 14:00:00 UTC 2022-12-06 15:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 120 meeting open_to_all Science & TechnologyOther
  • Multivariate Statistical Analysis 1: Dimension Reduction

    6 December 2022

    Multivariate Statistical Analysis 1: Dimension Reduction https://dresa.org.au/events/multivariate-statistical-analysis-1-dimension-reduction-67f6104b-825b-491b-8568-aa12451eaa64 **Multivariate Statistical Analysis 1: Dimension Reduction** In multivariate statistics we simultaneously model and estimate variability in more than one variable often in order to examine the relationship between variables. This workshop examines the key aspects of moving from univariate to multivariate analysis, and the situations and scenarios where multivariate analysis is typically applied. The focus will be on practical application of concepts through examples. **Topics covered will include:** - Motivations for undertaking multivariate analysis - Statistical principles for multivariate analysis - Dimension reduction techniques including principal components analysis (PCA), factor analysis (FA), correspondence analysis (CA) and non-metric multidimensional scaling (nMDS) This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Pre-requisites** Prior experience with statistical modelling is assumed, as the basics of regression modelling will not be covered. Please consider attending Linear Models 1 and/or Linear Models 2 workshops to come up to speed beforehand. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a wide range of commonly available software. **Attendance options** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person**: Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2022-12-06 14:00:00 UTC 2022-12-06 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • FOCUS GROUP WORKSHOP: Towards effective, inclusive and scalable training in the life sciences

    6 December 2022

    FOCUS GROUP WORKSHOP: Towards effective, inclusive and scalable training in the life sciences https://dresa.org.au/events/focus-group-workshop-towards-effective-inclusive-and-scalable-training-in-the-life-sciences Join us for a consultation workshop to review draft principles and recommendations around effective, inclusive and career-spanning short-format training. This is your opportunity take a deep dive into making training in bioinformatics and digital research skills for biologists more equitable, scalable and sustainable. Scientists and educators working in the life sciences must continuously acquire new knowledge and skills to stay up-to-date with the latest methods, technologies and research. Short-format training, such as webinars, workshops and bootcamps, are popular ways of quickly learning about new topics and gaining new skills. As trainers and educators, how can we ensure that short-format training is effective and inclusive for all? How can we ensure that our learners are equipped to continue learning and applying their new skills once they return to their day jobs? And how can we do this in a way that is scalable and sustainable? [The Bicycle Principles](https://www.bikeprinciples.org/) assemble education theory and community experience into a framework for improving short-format training so that it is effective, inclusive and scalable. Over 30 international experts, including colleagues from the Australian BioCommons, Melbourne Genomics and other Australian and New Zealand organisations, helped develop the principles and an associated set of recommendations. Jason Williams, Assistant Director, DNA Learning Center, Cold Spring Harbor Laboratory - a leading genomics and bioinformatics educator and project lead, will lead a focus group discussing how the Principles can be applied to deliver scalable and sustainable training in bioinformatics and digital research skills for life scientists in the Australian setting. **Speaker:** Jason Williams, Assistant Director, DNA Learning Center, Cold Spring Harbor Laboratory **When:** Tuesday 6 December 2022, 3pm AEDT/ 2pm AEST/ 2:30pm ACDT/ 12pm AWST **Who the workshop is for:** This workshops is for trainers, training providers and educators who are interested in promoting effective, inclusive and scalable learning in bioinformatics and digital research skills for life scientists. **How to apply:** This focus group workshop is free but participation is subject to application with selection. Applications will close at **11:59pm AEST, Wednesday 30 November 2022**. Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful). More information on the selection process is provided in our[ Advice on applying for Australian BioCommons workshops.](https://www.biocommons.org.au/workshop-applications) Successful applicants will be provided with a Zoom meeting link closer to the date. Participants are required to[ watch the recording](https://youtu.be/18dub7jGeQ8) of the webinar Effective, inclusive, and scalable training in the life sciences, clinical education and beyond in advance. You can watch a recording of this webinar on the[ Australian BioCommons YouTube Channel](https://youtu.be/18dub7jGeQ8). **[Register here](https://bicycle-principles.eventbrite.com.au/)** _Note: An affiliated workshop for genomics education practitioners is being offered by Melbourne Genomics on 5 Dec 2022. For further information about that event please contact amy.nisselle@melbournegenomics.org.au._ Cover image: The Bicycle Principles. Reproduced from[ bikeprinciples.org](https://www.bikeprinciples.org/) under [ Creative Commons Attribution 4.0 International License](http://creativecommons.org/licenses/by/4.0/). **_This event is part of a series of[ bioinformatics training events](https://www.biocommons.org.au/events). If you'd like to hear when registrations open for other events, please[ subscribe](https://www.biocommons.org.au/subscribe) to Australian BioCommons._** 2022-12-06 15:00:00 UTC 2022-12-06 16:30:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons training@biocommons.org.au [] trainer 30 meeting expression_of_interest Short format trainingScalabilityInclusivePedagogyBioinformaticsdata scienceTrainingEducation
  • Genome Annotation with Apollo

    7 December 2022

    Genome Annotation with Apollo https://dresa.org.au/events/genome-annotation-with-apollo-4f9e0bc2-8a93-4b79-b866-5f61fbf648ac Genome annotation is crucial to defining the function of genomic sequences. Apollo is a popular tool for facilitating real-time, collaborative, curation and genome annotation editing. In this workshop we'll show you how to use Apollo to refine genome annotations using the Australian Apollo Service. 2022-12-07 09:00:00 UTC 2022-12-07 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • WEBINAR: Variant interpretation: from the clinic to the lab… and back again

    7 December 2022

    WEBINAR: Variant interpretation: from the clinic to the lab… and back again https://dresa.org.au/events/webinar-variant-interpretation-from-the-clinic-to-the-lab-and-back-again The use of genomic testing is increasing rapidly as the cost of genome sequencing decreases. Many areas of the health workforce are upskilling in genomics to help meet the increased demand. From clinicians learning how to use the right test, for the right patient, at the right time, to medical scientists learning how to interpret and classify variants, and data scientists to learning how to better create and continuously refine the pipelines and software to handle and curate big data. In this webinar, we’ll hear from two people working at the coalface of variant interpretation – one in a diagnostic laboratory and the other in a cancer research laboratory. Naomi Baker is Medical Scientist at[ Victorian Clinical Genetics Services](https://www.vcgs.org.au/). She helps process hundreds of genomic tests per year to find the variants that cause rare diseases. She’ll explain the clinical variant interpretation processes she uses, the pipelines, professions and people involved. Joep Vissers is a Curation Team Leader, at the[ University of Melbourne Centre for Cancer Research](https://mdhs.unimelb.edu.au/centre-for-cancer-research), Department of Clinical Pathology. Joep, who also teaches cancer biology at the University, will describe how he uses variant interpretation in his work at the research/clinical interface, and the shift in mindset required when working with data for these different purposes. Amy Nisselle, Genomics Workforce Lead at[ Melbourne Genomics](https://www.melbournegenomics.org.au/), will then briefly outline some of the education programs available in clinical variant interpretation. **Speakers:** Naomi Baker, Medical Scientist, Victorian Clinical Genetics Services Joep Vissers, Curation Team Leader, The University of Melbourne Centre for Cancer Research, Department of Clinical Pathology Amy Nisselle, Genomics Workforce Lead, Melbourne Genomics **Who the webinar is for:** This webinar is for anyone interested in how genomics technologies and workflows are used to inform clinical practice. Whether you’re wanting to get started in translational research, curating big data in a clinical setting or just curious about careers and opportunities in clinical genomics there is something in this webinar for you. **How to join:** This webinar is free to join but you must register for a place in advance. [ Register here](https://unimelb.zoom.us/webinar/register/WN_VcXpNbdNSOC8XGqUuyOYlg) This webinar is co-hosted by Australian BioCommons and Melbourne Genomics 2022-12-07 13:00:00 UTC 2022-12-07 14:00:00 UTC Australian BioCommons Australian BioCommonsMelbourne Genomics training@biocommons.org.au [] [] [] open_to_all Variant callingClinical genomicsVariant interpretation
  • Surveying with Qualtrics at UniSA Online

    8 December 2022

    Surveying with Qualtrics at UniSA Online https://dresa.org.au/events/surveying-with-qualtrics-at-unisa-online Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics? Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow from building a survey to analysing the results using Qualtrics. We will discover the numerous design elements available in order to get the most useful results and make life as easy as can be for your respondents. If your institution has a licence to Qualtrics, then this course is right for you. #### You'll learn: - Format a sample survey using the Qualtrics online platform - Configure the survey using a range of design features to improve user experience - Decide which distribution channel is right for your needs - Understand the available data analysis and export options in Qualtrics #### Prerequisites: You must have access to a Qualtrics instance, such as through your university license. Speak to your local university IT or Research Office for assistance in accessing the Qualtrics instance. **For more information, please click [here](https://intersect.org.au/training/course/qltrics101).** 2022-12-08 09:30:00 UTC 2022-12-08 12:30:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Introduction to Machine Learning using Python: Classification at UTS Online

    8 - 9 December 2022

    Introduction to Machine Learning using Python: Classification at UTS Online https://dresa.org.au/events/introduction-to-machine-learning-using-python-classification-at-uts-online Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: - Comprehensive introduction to Machine Learning models and techniques such as Logistic Regression, Decision Trees and Ensemble Learning. - Know the differences between various core Machine Learning models. - Understand the Machine Learning modelling workflows. - Use Python and scikit-learn to process real datasets, train and apply Machine Learning models #### Prerequisites: Either [Learn to Program: Python](https://intersect.org.au/training/course/python101/), [Data Manipulation in Python](https://intersect.org.au/training/course/python201/) and [Introduction to ML using Python: Introduction & Linear Regression](https://intersect.org.au/training/course/python205/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/), [Data Manipulation and Visualisation in Python](https://intersect.org.au/training/course/python203/) and [Introduction to ML using Python: Introduction & Linear Regression](https://intersect.org.au/training/course/python205/) needed to attend this course. If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax, basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries, and basic understanding of Machine Learning and Model Training. Maths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. #### Why do this course: - Useful for anyone who wants to learn about Machine Learning but are overwhelmed with the tremendous amount of resources. - It does not go in depth into mathematical concepts and formula, however formal intuitions and references are provided to guide the participants for further learning. - We do have applications on real datasets! - Machine Learning models are introduced in this course together with important feature engineering techniques that are guaranteed to be useful in your own projects. - Give you enough background to kickstart your own Machine Learning journey, or transition yourself into Deep Learning. For a better and more complete understanding of the most popular Machine Learning models and techniques please consider attending all three Introduction to Machine Learning using Python workshops: - Introduction to Machine Learning using Python: Introduction & Linear Regression - Introduction to Machine Learning using Python: Classification - Introduction to Machine Learning using Python: SVM & Unsupervised Learning **For more information, please click [here](https://intersect.org.au/training/course/python206).** 2022-12-08 13:00:00 UTC 2022-12-09 16:00:00 UTC Intersect Australia Australia Australia UTS training@intersect.org.au [] [] [] host_institution []
  • Getting started with NVivo for Windows at UniSA Online

    9 December 2022

    Getting started with NVivo for Windows at UniSA Online https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-unisa-online-d0a00b82-e011-46c7-b7e8-e078d09d2443 Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers. NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner. #### You'll learn: - Create and organise a qualitative research project in NVivo - Import a range of data sources using NVivo's integrated tools - Code and classify your data - Format your data to take advantage of NVivo’s auto-coding ability - Use NVivo to discover new themes and trends in research - Visualise relationships and trends in your data #### Prerequisites: In order to participate, attendees must have a licensed copy of NVivo installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo101).** 2022-12-09 09:30:00 UTC 2022-12-09 12:30:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Introduction to Programming: Plotting and Programming with Python

    12 - 15 December 2022

    Introduction to Programming: Plotting and Programming with Python https://dresa.org.au/events/introduction-to-programming-plotting-and-programming-with-python-eed49d25-f827-421b-a11a-6a14552d763c This Software Carpentry workshop will introduce the building blocks of the Python scripting environment. Participants will start by exploring the command-line interface and basic programming concepts using Unix, before moving on to learn about simple and complex data types, conditionals and looping in Python. This workshop will prepare participants to carry out batch analysis and equip them with the knowledge to start creating automated pipelines to increase data processing power and productivity. 2022-12-12 09:00:00 UTC 2022-12-15 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Surveys in REDCap (webinar)

    13 December 2022

    Surveys in REDCap (webinar) https://dresa.org.au/events/surveys-in-redcap-webinar-c31ecf8a-57b0-4188-8148-0f53846e7e67 Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Surveys in REDCap", we will cover:** - How to turn a data collection instrument into a survey - How to distribute surveys - How to work with multiple surveys within a project (e.g. Survey Queue, Automated Survey Invitation features) **Essential pre-requisites:** You must know how to build a basic data entry project in REDCap. Please attend our "Intro to REDCap" webinar to cover this. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@uni.sydney.edu.au) **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2022-12-13 13:00:00 UTC 2022-12-13 15:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Databasing Clinic (Australia)

    6 January 2023

    Databasing Clinic (Australia) https://dresa.org.au/events/databasing-clinic-australia-07a708a6-cb0d-4563-92f9-d982b3d80f38 Join Dr Michael Falk, Heurist’s Community Technical Advisor, for a free and flexible training session. What we cover is entirely dependant on your needs. We can: Have an introduction to Heurist’s core features Import data into your Heurist database Workshop ideas for your Heurist website Troubleshoot specific problems with your database Discuss principles of data modelling To register for the clinic, click here. After registering, you will receive a confirmation email containing information about joining the meeting. 2023-01-06 04:30:00 UTC 2023-01-06 06:00:00 UTC Heurist Network Online Online Heurist Network info@heuristnetwork.org [] [] [] open_to_all AdvancedIntroductoryTraining
  • Introduction to Computer-assisted Qualitative Data Analysis using NVivo: Online

    16 - 20 January 2023

    Introduction to Computer-assisted Qualitative Data Analysis using NVivo: Online https://dresa.org.au/events/introduction-to-computer-assisted-qualitative-data-analysis-using-nvivo-online In this 5 day course, participants will learn how to analyse qualitative data using NVivo. The course takes a holistic view of the analysis of qualitative data using computer assisted techniques. We will examine not only the mechanics of driving the NVivo software package, but also how to plan for the collection of data; preparation of data for analysis; as well as the analysis of the data. You will also be introduced to advanced analysis tools, including those for theory building, validation and presentation of findings. Participants will explore applications of the software to your own research projects. Sample data will be provided but you should bring your own data sets, if you have them, and/or copies of articles and research reports relevant to your field of study. 2023-01-16 09:30:00 UTC 2023-01-20 16:30:00 UTC ACSPRI online online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all NVivoQualitative Researchqualitative dataData analysis
  • Introduction to Social Network Research and Analysis: Online

    16 - 20 January 2023

    Introduction to Social Network Research and Analysis: Online https://dresa.org.au/events/introduction-to-social-network-research-and-analysis-online This course is designed for social researchers using qualitative and mixed methods. The course builds from the basic, pioneering methodologies of Social Network Analysis (SNA): survey-based egonet SNA and sociometric, "whole network' SNA, and their extensions, to network sensitive ethnographies, community networks, web-based network surveys and research on social media activities. The course reviews the possibilities for working with rich network data from interview or online sources and the unique perspectives that qualitative and social research traditions bring to these tasks. The course explores ways to best manage and explore different kinds of network data in Excel, uses UCINET and NetDraw to produce network diagrams and descriptive statistics. We review other appropriate software related to participants' needs. The course serves as a transition to the associated ACSPRI courses Network Analysis in Social, Business and Political Research and Big Data Analysis for Social Scientists. Network research designs covered in this course are: * Surveys using ego-centric network (egonet) methods * Network-sensitive ethnographies * Sociometric (‘round robin’) ‘whole network’ studies and small group research * Associational/ Affiliation (‘2-mode’) networks (including ethological studies) * Cognitive mapping and socio-cognitive mapping (SCM) For each methodology we consider the best ways to code and manage raw data, the most efficient formats for importing such data into visualisation and analysis software and appropriate measures and statistics for reporting findings. We also discuss the process of relating validated findings to broader research questions (‘meta-inference’), extrapolating them to other settings and associated questions of research design. 2023-01-16 09:30:00 UTC 2023-01-20 16:00:00 UTC ACSPRI Online Online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all social network researchSocial network analysisMixed MethodsQualitative ResearchQualitative methodssocial media data
  • Introduction to Qualitative Research: Online

    16 - 20 January 2023

    Introduction to Qualitative Research: Online https://dresa.org.au/events/introduction-to-qualitative-research-online In this course you will learn about the foundational elements of qualitative research and how they are interrelated. We will unpack the key components of qualitative research design, including the stances and theories that underpin qualitative methodologies, as well as techniques of data collection and analysis. We pay particular attention to what’s involved in ethically employing popular methods such as interviewing and observation. We also address the practical and ethical considerations of online methods, given the growing uptake of remote research during the coronavirus pandemic. The course combines short lectures covering foundational issues with practical workshops that give you a chance to practice qualitative techniques first-hand. The target audience for this course is those who would like to become more familiar with qualitative research techniques, from postgraduate university students and staff, to researchers in government and private organisations. 2023-01-16 10:00:00 UTC 2023-01-20 16:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchQualitative methodsIntroductoryqualitative data
  • Fundamentals of Statistics: Online

    16 - 20 January 2023

    Fundamentals of Statistics: Online https://dresa.org.au/events/fundamentals-of-statistics-online In this course you will obtain a solid foundation in basic statistical concepts and procedures to progress with some confidence into more advanced topics. This is an introductory unit in statistical methods with the emphasis on statistical techniques applicable to the social sciences, although these introductory techniques are also appropriate to the health sciences. Key examples from journal articles will be presented to illustrate the use and reporting of the statistical techniques covered in this unit. Our approach to learning will be largely non-mathematical, concentrating on concepts rather than mathematical theory. Participants familiar with the use of a statistical software package, but lacking statistical training should also start with this course. SOFTWARE The course will be using the free and open-source software jamovi. The software jamovi can be downloaded from https://www.jamovi.org.download.html While jamovi is built on top of the R statistical language, it has a look and feel very similar to IBM SPSS Statistics and in many ways is easier to use. Depending on student preferences, there will be an opportunity to use IBM SPSS Statistics v28. Instructions will be provided for both packages and students can choose either jamovi or IBM Statistics v28. 2023-01-16 10:00:00 UTC 2023-01-20 16:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Fundamentals of StatisticsStatistical MethodsJamoviquantitativeStatistics
  • Fundamentals of Program Evaluation in Public Policy: Online

    16 - 20 January 2023

    Fundamentals of Program Evaluation in Public Policy: Online https://dresa.org.au/events/fundamentals-of-program-evaluation-in-public-policy-online The course is structured to progress participants through the stages of an evaluation from conceptualisation through to negotiating the design, data collection, synthesis and reporting stages. You will be exposed to key theories and approaches to evaluation and then have the opportunity to apply these to real examples of evaluations. Examples from published studies and the grey literature, and the facilitator’s applied practice in evaluation will be drawn upon to illustrate and reinforce key concepts. This course is designed for public sector workers and academics who are interested in commissioning, managing or conducting evaluations of public policy or programs. 2023-01-16 10:00:00 UTC 2023-01-20 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all evaluationpublic policypublic programspolicy evaluation
  • Fundamentals of Structural Equation Modelling: Online

    16 - 20 January 2023

    Fundamentals of Structural Equation Modelling: Online https://dresa.org.au/events/fundamentals-of-structural-equation-modelling-online Structural equation modelling—or structural equations with latent variables—is a very general statistical model and widely used method. For example, SEM is used in fundamental disciplines such as the social, economic and psychological sciences, the biological sciences, and applied disciplines such as education, health and marketing. SEM has become popular for several reasons, apart from its generality: (i) all SEM models can be represented visually, (ii) a standard notation helps researchers to communicate, and (iii) several software packages for estimating SEM models are readily available (e.g., AMOS, LISREL, Mplus, R). This course provides an overview of the fundamentals of SEM. As well as the statistical theory, an overview of the many applications and capabilities of SEM is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of SEM and how it is used by applied researchers. General aims of the course are for students to develop a readiness for using SEM software and to develop the requisite knowledge for applying SEM methods and models in an intelligent way. Note that participants may be invited to briefly present their own research on the last day of class. This exercise, along with the formal lecture material, might help participants to chart a direction forward in their study and application of SEM. 2023-01-16 10:00:00 UTC 2023-01-20 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all SEMStructural equation modellingStatistical Methodsquantitative
  • Multi-level Analysis using Mplus: Online

    16 - 20 January 2023

    Multi-level Analysis using Mplus: Online https://dresa.org.au/events/multi-level-analysis-using-mplus-online This course is designed as an introduction to the concepts and techniques required to analyse data that is multi-level in nature. (That is, data that is derived from subjects who are nested within groups or data that involves repeated measures that are nested within subjects) In conventional regression analysis it is assumed that subjects are randomly selected and, therefore, all the variance in your dependent variables is due solely to variation amongst individuals. However, in most studies, subjects are clustered within a group and multiple groups are sampled. For example, in an education study, we may have students clustered within multiple classes; in a human resourcing study, we may have employees clustered within multiple work units or teams. In such sampling, although some of the variance in your dependent variables will be due to variation amongst individuals, some the variance in your dependent variables will also be due to variation amongst the groups themselves. In such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. Repeated measure designs should also be analysed using multilevel analysis because the repeated observations are nested within subjects. For example, in a marketing study, we may have repeated measures of consumers’ attitudes to a brand over the life of a marketing campaign; in an epidemiology study, we may have repeated measures of a health outcome over the life of a drug treatment regime. In such studies, although some of the variance in your dependent variables will be due to variation across the various time occasions, some the variance in your dependent variables will also be due to variation amongst individuals themselves. Again, in such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. 2023-01-16 10:00:00 UTC 2023-01-20 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all multilevel modellingSEMStatistical MethodsStatistics
  • Foundations of R for Research: Online

    19 - 20 January 2023

    Foundations of R for Research: Online https://dresa.org.au/events/foundations-of-r-for-research-online This course is a step by step interactive introduction for participants with no experience with R and RStudio. Notes will be provided and a set of exercises, covering a variety of data sets, will be run together during the lecture and also individually at the end of the day. The course content is particularly suited for those involved in research in the business, education, social and health sciences. Participants will first be introduced to the foundations of R such as libraries, matrix manipulation, objects, and data frames. Participants will use R Markdown in RStudio to generate reports, tables and graphics to Word, PDF and HTML files. Once the foundations have been covered a variety of data management skills will introduced (e.g. filtering data, merging data). The production of descriptive statistics tables and graphs will be covered so that participants can easily use RStudio to explore data and produce reports. The last session on each day will finish with a set of exercises for participants to run on their own and practice what they have learned that day. Please note that due to the short 2-day structure, there will not be any time set aside for analysing participant’s own data. 2023-01-19 09:30:00 UTC 2023-01-20 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R softwareIntroductoryR statistical software
  • Keeping Archives Online Learning Series

    1 July 2016 - 31 December 2025

    Keeping Archives Online Learning Series https://dresa.org.au/events/keeping-archives-online-learning-series Our pioneering online learning program, based on our respected publication Keeping Archives, was launched in 2016. It provides a new level of learning in the archives and records profession, filling a gap between a tertiary course and on-the-job experience. These courses are ideal for: - People who are new to archives and need a grounding in archival principles; - Students who wish to enhance the archival component of their training; - Professional archivists who may require a refresher in new archival methods and theory – e.g. emergent web technologies and social media platforms; - Statutory organisations whose staff need records and archives knowledge as part of their responsibilities. - Organisations with volunteers who engage in archival work and need basic knowledge. 2016-07-01 09:00:00 UTC 2025-12-31 17:00:00 UTC Australian Society of Archivists Australia Australia Australian Society of Archivists office@archivists.org.au [] [] [] open_to_all ArchivesRecordsArvchivingRecordkeeping
  • Using Advanced Networking on the ARDC Nectar Research Cloud

    2 December 2022

    Using Advanced Networking on the ARDC Nectar Research Cloud https://dresa.org.au/events/using-advanced-networking-on-the-ardc-nectar-research-cloud-836ad8a2-5350-4b0a-8764-7a1176c48bea Learn the fundamentals of using Advanced Networking on Nectar. 2022-12-02 11:00:00 UTC 2022-12-02 12:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 25 [] open_to_all Science & TechnologyHigh Tech
  • Introduction to Unix

    5 - 6 December 2022

    Introduction to Unix https://dresa.org.au/events/introduction-to-unix-079e5b5c-0387-441c-88bf-32b786a38f5b The Unix shell has been around longer than most of its users have been alive. It has survived so long because it’s a power tool that allows people to do complex things with just a few keystrokes. More importantly, it helps them combine existing programs in new ways and automate repetitive tasks so they aren’t typing the same things over and over again. Use of the shell is fundamental to using a wide range of other powerful tools and computing resources (including 'high-performance computing' supercomputers). This Software Carpentry workshop will start you on a path towards using these resources effectively. 2022-12-05 09:00:00 UTC 2022-12-06 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Doing Credible Qualitative Research

    5 - 8 December 2022

    Doing Credible Qualitative Research https://dresa.org.au/events/doing-credible-qualitative-research Qualitative researchers often try to do the same as quantitative research but with smaller samples. This master-class offers lectures and data workshops covering the latest approaches to key areas of qualitative research. It outlines threats to credibility and shows how to make your research credible. * Finding a topic in your data (as opposed to quantitative research, qualitative research is often inductive; discovering unexpected things in your data) * Mixed methods. (Mixing qual and quant data. Using multiple qualitative methods. Advantages and limitations) * How many cases do you need? (sampling to social processes not to populations) * Applying qualitative research to social problems and practice (avoiding pre-defined policy aims; discovering practical relevance at the conclusion of a research project 2022-12-05 10:00:00 UTC 2022-12-08 12:30:00 UTC ACSPRI online, online, Australia online online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchMixed MethodsQualitative methods
  • Learn to Program: Python at LTU Online

    6 - 7 December 2022

    Learn to Program: Python at LTU Online https://dresa.org.au/events/learn-to-program-python-at-ltu-online-7116d291-8e22-42b2-a773-a589bded8577 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the JupyterLab interface for programming - Basic syntax and data types in Python - How to load external data into Python - Creating functions (FUNCTIONS) - Repeating actions and anylsing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/python101).** 2022-12-06 09:30:00 UTC 2022-12-07 12:30:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at UniSA Online

    6 - 7 December 2022

    Learn to Program: R at UniSA Online https://dresa.org.au/events/learn-to-program-r-at-unisa-online-b6c08fb8-4293-4788-a38f-19f30903f43b R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2022-12-06 09:30:00 UTC 2022-12-07 12:30:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Experimental Design

    6 December 2022

    Experimental Design https://dresa.org.au/events/experimental-design-93e3d31f-2311-4fc4-bd58-acec23df2053 This presentation and workshop focuses on the key aspects of experimental design that researchers and students may need to apply in their research. Higher degree research students engaging in new research are especially invited to attend. During the workshop there will be the opportunity to discuss your own research question and associated experimental design. The workshop will include the following topics: - your research question - experimental validity - randomisation and bias - blinding and bias - blocking and confounding - fixed and random effects - replication, experimental units No pre-requisite knowledge of statistical methods is required. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the _**In person**_ ticket option. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2022-12-06 09:30:00 UTC 2022-12-06 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Longitudinal Trials with REDCap at LTU Online

    6 December 2022

    Longitudinal Trials with REDCap at LTU Online https://dresa.org.au/events/longitudinal-trials-with-redcap-at-ltu-online-c403f9d5-0760-41a5-a9f5-25442f171068 REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap's more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 - Managing Data Capture and Surveys with REDCap. #### You'll learn: - Build a longitudinal project - Manage participants throughout multiple events - Configure and use Automated Survey Invitations - Use Smart Variables to add powerful features to your logic - Take advantage of high-granularity permissions for your collaborators - Understand the data structure of a longitudinal project #### Prerequisites: This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our [Data Capture and Surveys with REDCap](https://intersect.org.au/training/course/redcap101/) workshop. **For more information, please click [here](https://intersect.org.au/training/course/redcap201).** 2022-12-06 10:00:00 UTC 2022-12-06 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []
  • Excel for Researchers at ACU Online

    6 - 7 December 2022

    Excel for Researchers at ACU Online https://dresa.org.au/events/excel-for-researchers-at-acu-online Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2022-12-06 10:00:00 UTC 2022-12-07 13:00:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • Power and Sample Size Calculation

    6 December 2022

    Power and Sample Size Calculation https://dresa.org.au/events/power-and-sample-size-calculation-9c2d33ba-68ef-4b78-89d4-8e654992eef3 This is the registration page for:**Power and Sample Size Calculation**, run by the:Sydney Informatics Hub. This workshop covers the theory and concepts of power analysis and includes worked examples using G\*Power software.: Attendees will follow the examples on their own laptop PC or Mac. It is essential you have G\*Power pre-installed on your machine prior to the workshop. Download software from the G\*Power website:[here](http://www.psychologie.hhu.de/arbeitsgruppen/allgemeine-psychologie-und-arbeitspsychologie/gpower.html).: (It's free, and available for both Windows and MacOS) **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date.: Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,**:etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-12-06 11:30:00 UTC 2022-12-06 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Intro to REDCap (webinar)

    6 December 2022

    Intro to REDCap (webinar) https://dresa.org.au/events/intro-to-redcap-webinar-280ceeb0-504d-4633-b726-f7e12ce12cac Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@uni.sydney.edu.au) **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2022-12-06 13:00:00 UTC 2022-12-06 15:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Data Management Plans (DMPs) Interest Group #3

    6 December 2022

    Data Management Plans (DMPs) Interest Group #3 https://dresa.org.au/events/data-management-plans-dmps-interest-group-3 We are an Australasian interest group for people interested in discussing, building and improving Data Management Plans (DMPs). 2022-12-06 14:00:00 UTC 2022-12-06 15:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 120 meeting open_to_all Science & TechnologyOther
  • Multivariate Statistical Analysis 1: Dimension Reduction

    6 December 2022

    Multivariate Statistical Analysis 1: Dimension Reduction https://dresa.org.au/events/multivariate-statistical-analysis-1-dimension-reduction-67f6104b-825b-491b-8568-aa12451eaa64 **Multivariate Statistical Analysis 1: Dimension Reduction** In multivariate statistics we simultaneously model and estimate variability in more than one variable often in order to examine the relationship between variables. This workshop examines the key aspects of moving from univariate to multivariate analysis, and the situations and scenarios where multivariate analysis is typically applied. The focus will be on practical application of concepts through examples. **Topics covered will include:** - Motivations for undertaking multivariate analysis - Statistical principles for multivariate analysis - Dimension reduction techniques including principal components analysis (PCA), factor analysis (FA), correspondence analysis (CA) and non-metric multidimensional scaling (nMDS) This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Pre-requisites** Prior experience with statistical modelling is assumed, as the basics of regression modelling will not be covered. Please consider attending Linear Models 1 and/or Linear Models 2 workshops to come up to speed beforehand. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a wide range of commonly available software. **Attendance options** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person**: Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2022-12-06 14:00:00 UTC 2022-12-06 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • FOCUS GROUP WORKSHOP: Towards effective, inclusive and scalable training in the life sciences

    6 December 2022

    FOCUS GROUP WORKSHOP: Towards effective, inclusive and scalable training in the life sciences https://dresa.org.au/events/focus-group-workshop-towards-effective-inclusive-and-scalable-training-in-the-life-sciences Join us for a consultation workshop to review draft principles and recommendations around effective, inclusive and career-spanning short-format training. This is your opportunity take a deep dive into making training in bioinformatics and digital research skills for biologists more equitable, scalable and sustainable. Scientists and educators working in the life sciences must continuously acquire new knowledge and skills to stay up-to-date with the latest methods, technologies and research. Short-format training, such as webinars, workshops and bootcamps, are popular ways of quickly learning about new topics and gaining new skills. As trainers and educators, how can we ensure that short-format training is effective and inclusive for all? How can we ensure that our learners are equipped to continue learning and applying their new skills once they return to their day jobs? And how can we do this in a way that is scalable and sustainable? [The Bicycle Principles](https://www.bikeprinciples.org/) assemble education theory and community experience into a framework for improving short-format training so that it is effective, inclusive and scalable. Over 30 international experts, including colleagues from the Australian BioCommons, Melbourne Genomics and other Australian and New Zealand organisations, helped develop the principles and an associated set of recommendations. Jason Williams, Assistant Director, DNA Learning Center, Cold Spring Harbor Laboratory - a leading genomics and bioinformatics educator and project lead, will lead a focus group discussing how the Principles can be applied to deliver scalable and sustainable training in bioinformatics and digital research skills for life scientists in the Australian setting. **Speaker:** Jason Williams, Assistant Director, DNA Learning Center, Cold Spring Harbor Laboratory **When:** Tuesday 6 December 2022, 3pm AEDT/ 2pm AEST/ 2:30pm ACDT/ 12pm AWST **Who the workshop is for:** This workshops is for trainers, training providers and educators who are interested in promoting effective, inclusive and scalable learning in bioinformatics and digital research skills for life scientists. **How to apply:** This focus group workshop is free but participation is subject to application with selection. Applications will close at **11:59pm AEST, Wednesday 30 November 2022**. Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful). More information on the selection process is provided in our[ Advice on applying for Australian BioCommons workshops.](https://www.biocommons.org.au/workshop-applications) Successful applicants will be provided with a Zoom meeting link closer to the date. Participants are required to[ watch the recording](https://youtu.be/18dub7jGeQ8) of the webinar Effective, inclusive, and scalable training in the life sciences, clinical education and beyond in advance. You can watch a recording of this webinar on the[ Australian BioCommons YouTube Channel](https://youtu.be/18dub7jGeQ8). **[Register here](https://bicycle-principles.eventbrite.com.au/)** _Note: An affiliated workshop for genomics education practitioners is being offered by Melbourne Genomics on 5 Dec 2022. For further information about that event please contact amy.nisselle@melbournegenomics.org.au._ Cover image: The Bicycle Principles. Reproduced from[ bikeprinciples.org](https://www.bikeprinciples.org/) under [ Creative Commons Attribution 4.0 International License](http://creativecommons.org/licenses/by/4.0/). **_This event is part of a series of[ bioinformatics training events](https://www.biocommons.org.au/events). If you'd like to hear when registrations open for other events, please[ subscribe](https://www.biocommons.org.au/subscribe) to Australian BioCommons._** 2022-12-06 15:00:00 UTC 2022-12-06 16:30:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons training@biocommons.org.au [] trainer 30 meeting expression_of_interest Short format trainingScalabilityInclusivePedagogyBioinformaticsdata scienceTrainingEducation
  • Genome Annotation with Apollo

    7 December 2022

    Genome Annotation with Apollo https://dresa.org.au/events/genome-annotation-with-apollo-4f9e0bc2-8a93-4b79-b866-5f61fbf648ac Genome annotation is crucial to defining the function of genomic sequences. Apollo is a popular tool for facilitating real-time, collaborative, curation and genome annotation editing. In this workshop we'll show you how to use Apollo to refine genome annotations using the Australian Apollo Service. 2022-12-07 09:00:00 UTC 2022-12-07 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • WEBINAR: Variant interpretation: from the clinic to the lab… and back again

    7 December 2022

    WEBINAR: Variant interpretation: from the clinic to the lab… and back again https://dresa.org.au/events/webinar-variant-interpretation-from-the-clinic-to-the-lab-and-back-again The use of genomic testing is increasing rapidly as the cost of genome sequencing decreases. Many areas of the health workforce are upskilling in genomics to help meet the increased demand. From clinicians learning how to use the right test, for the right patient, at the right time, to medical scientists learning how to interpret and classify variants, and data scientists to learning how to better create and continuously refine the pipelines and software to handle and curate big data. In this webinar, we’ll hear from two people working at the coalface of variant interpretation – one in a diagnostic laboratory and the other in a cancer research laboratory. Naomi Baker is Medical Scientist at[ Victorian Clinical Genetics Services](https://www.vcgs.org.au/). She helps process hundreds of genomic tests per year to find the variants that cause rare diseases. She’ll explain the clinical variant interpretation processes she uses, the pipelines, professions and people involved. Joep Vissers is a Curation Team Leader, at the[ University of Melbourne Centre for Cancer Research](https://mdhs.unimelb.edu.au/centre-for-cancer-research), Department of Clinical Pathology. Joep, who also teaches cancer biology at the University, will describe how he uses variant interpretation in his work at the research/clinical interface, and the shift in mindset required when working with data for these different purposes. Amy Nisselle, Genomics Workforce Lead at[ Melbourne Genomics](https://www.melbournegenomics.org.au/), will then briefly outline some of the education programs available in clinical variant interpretation. **Speakers:** Naomi Baker, Medical Scientist, Victorian Clinical Genetics Services Joep Vissers, Curation Team Leader, The University of Melbourne Centre for Cancer Research, Department of Clinical Pathology Amy Nisselle, Genomics Workforce Lead, Melbourne Genomics **Who the webinar is for:** This webinar is for anyone interested in how genomics technologies and workflows are used to inform clinical practice. Whether you’re wanting to get started in translational research, curating big data in a clinical setting or just curious about careers and opportunities in clinical genomics there is something in this webinar for you. **How to join:** This webinar is free to join but you must register for a place in advance. [ Register here](https://unimelb.zoom.us/webinar/register/WN_VcXpNbdNSOC8XGqUuyOYlg) This webinar is co-hosted by Australian BioCommons and Melbourne Genomics 2022-12-07 13:00:00 UTC 2022-12-07 14:00:00 UTC Australian BioCommons Australian BioCommonsMelbourne Genomics training@biocommons.org.au [] [] [] open_to_all Variant callingClinical genomicsVariant interpretation
  • Surveying with Qualtrics at UniSA Online

    8 December 2022

    Surveying with Qualtrics at UniSA Online https://dresa.org.au/events/surveying-with-qualtrics-at-unisa-online Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics? Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow from building a survey to analysing the results using Qualtrics. We will discover the numerous design elements available in order to get the most useful results and make life as easy as can be for your respondents. If your institution has a licence to Qualtrics, then this course is right for you. #### You'll learn: - Format a sample survey using the Qualtrics online platform - Configure the survey using a range of design features to improve user experience - Decide which distribution channel is right for your needs - Understand the available data analysis and export options in Qualtrics #### Prerequisites: You must have access to a Qualtrics instance, such as through your university license. Speak to your local university IT or Research Office for assistance in accessing the Qualtrics instance. **For more information, please click [here](https://intersect.org.au/training/course/qltrics101).** 2022-12-08 09:30:00 UTC 2022-12-08 12:30:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Introduction to Machine Learning using Python: Classification at UTS Online

    8 - 9 December 2022

    Introduction to Machine Learning using Python: Classification at UTS Online https://dresa.org.au/events/introduction-to-machine-learning-using-python-classification-at-uts-online Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: - Comprehensive introduction to Machine Learning models and techniques such as Logistic Regression, Decision Trees and Ensemble Learning. - Know the differences between various core Machine Learning models. - Understand the Machine Learning modelling workflows. - Use Python and scikit-learn to process real datasets, train and apply Machine Learning models #### Prerequisites: Either [Learn to Program: Python](https://intersect.org.au/training/course/python101/), [Data Manipulation in Python](https://intersect.org.au/training/course/python201/) and [Introduction to ML using Python: Introduction & Linear Regression](https://intersect.org.au/training/course/python205/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/), [Data Manipulation and Visualisation in Python](https://intersect.org.au/training/course/python203/) and [Introduction to ML using Python: Introduction & Linear Regression](https://intersect.org.au/training/course/python205/) needed to attend this course. If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax, basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries, and basic understanding of Machine Learning and Model Training. Maths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. #### Why do this course: - Useful for anyone who wants to learn about Machine Learning but are overwhelmed with the tremendous amount of resources. - It does not go in depth into mathematical concepts and formula, however formal intuitions and references are provided to guide the participants for further learning. - We do have applications on real datasets! - Machine Learning models are introduced in this course together with important feature engineering techniques that are guaranteed to be useful in your own projects. - Give you enough background to kickstart your own Machine Learning journey, or transition yourself into Deep Learning. For a better and more complete understanding of the most popular Machine Learning models and techniques please consider attending all three Introduction to Machine Learning using Python workshops: - Introduction to Machine Learning using Python: Introduction & Linear Regression - Introduction to Machine Learning using Python: Classification - Introduction to Machine Learning using Python: SVM & Unsupervised Learning **For more information, please click [here](https://intersect.org.au/training/course/python206).** 2022-12-08 13:00:00 UTC 2022-12-09 16:00:00 UTC Intersect Australia Australia Australia UTS training@intersect.org.au [] [] [] host_institution []
  • Getting started with NVivo for Windows at UniSA Online

    9 December 2022

    Getting started with NVivo for Windows at UniSA Online https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-unisa-online-d0a00b82-e011-46c7-b7e8-e078d09d2443 Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers. NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner. #### You'll learn: - Create and organise a qualitative research project in NVivo - Import a range of data sources using NVivo's integrated tools - Code and classify your data - Format your data to take advantage of NVivo’s auto-coding ability - Use NVivo to discover new themes and trends in research - Visualise relationships and trends in your data #### Prerequisites: In order to participate, attendees must have a licensed copy of NVivo installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo101).** 2022-12-09 09:30:00 UTC 2022-12-09 12:30:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Introduction to Programming: Plotting and Programming with Python

    12 - 15 December 2022

    Introduction to Programming: Plotting and Programming with Python https://dresa.org.au/events/introduction-to-programming-plotting-and-programming-with-python-eed49d25-f827-421b-a11a-6a14552d763c This Software Carpentry workshop will introduce the building blocks of the Python scripting environment. Participants will start by exploring the command-line interface and basic programming concepts using Unix, before moving on to learn about simple and complex data types, conditionals and looping in Python. This workshop will prepare participants to carry out batch analysis and equip them with the knowledge to start creating automated pipelines to increase data processing power and productivity. 2022-12-12 09:00:00 UTC 2022-12-15 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Surveys in REDCap (webinar)

    13 December 2022

    Surveys in REDCap (webinar) https://dresa.org.au/events/surveys-in-redcap-webinar-c31ecf8a-57b0-4188-8148-0f53846e7e67 Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Surveys in REDCap", we will cover:** - How to turn a data collection instrument into a survey - How to distribute surveys - How to work with multiple surveys within a project (e.g. Survey Queue, Automated Survey Invitation features) **Essential pre-requisites:** You must know how to build a basic data entry project in REDCap. Please attend our "Intro to REDCap" webinar to cover this. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@uni.sydney.edu.au) **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2022-12-13 13:00:00 UTC 2022-12-13 15:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Databasing Clinic (Australia)

    6 January 2023

    Databasing Clinic (Australia) https://dresa.org.au/events/databasing-clinic-australia-07a708a6-cb0d-4563-92f9-d982b3d80f38 Join Dr Michael Falk, Heurist’s Community Technical Advisor, for a free and flexible training session. What we cover is entirely dependant on your needs. We can: Have an introduction to Heurist’s core features Import data into your Heurist database Workshop ideas for your Heurist website Troubleshoot specific problems with your database Discuss principles of data modelling To register for the clinic, click here. After registering, you will receive a confirmation email containing information about joining the meeting. 2023-01-06 04:30:00 UTC 2023-01-06 06:00:00 UTC Heurist Network Online Online Heurist Network info@heuristnetwork.org [] [] [] open_to_all AdvancedIntroductoryTraining
  • Introduction to Computer-assisted Qualitative Data Analysis using NVivo: Online

    16 - 20 January 2023

    Introduction to Computer-assisted Qualitative Data Analysis using NVivo: Online https://dresa.org.au/events/introduction-to-computer-assisted-qualitative-data-analysis-using-nvivo-online In this 5 day course, participants will learn how to analyse qualitative data using NVivo. The course takes a holistic view of the analysis of qualitative data using computer assisted techniques. We will examine not only the mechanics of driving the NVivo software package, but also how to plan for the collection of data; preparation of data for analysis; as well as the analysis of the data. You will also be introduced to advanced analysis tools, including those for theory building, validation and presentation of findings. Participants will explore applications of the software to your own research projects. Sample data will be provided but you should bring your own data sets, if you have them, and/or copies of articles and research reports relevant to your field of study. 2023-01-16 09:30:00 UTC 2023-01-20 16:30:00 UTC ACSPRI online online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all NVivoQualitative Researchqualitative dataData analysis
  • Introduction to Social Network Research and Analysis: Online

    16 - 20 January 2023

    Introduction to Social Network Research and Analysis: Online https://dresa.org.au/events/introduction-to-social-network-research-and-analysis-online This course is designed for social researchers using qualitative and mixed methods. The course builds from the basic, pioneering methodologies of Social Network Analysis (SNA): survey-based egonet SNA and sociometric, "whole network' SNA, and their extensions, to network sensitive ethnographies, community networks, web-based network surveys and research on social media activities. The course reviews the possibilities for working with rich network data from interview or online sources and the unique perspectives that qualitative and social research traditions bring to these tasks. The course explores ways to best manage and explore different kinds of network data in Excel, uses UCINET and NetDraw to produce network diagrams and descriptive statistics. We review other appropriate software related to participants' needs. The course serves as a transition to the associated ACSPRI courses Network Analysis in Social, Business and Political Research and Big Data Analysis for Social Scientists. Network research designs covered in this course are: * Surveys using ego-centric network (egonet) methods * Network-sensitive ethnographies * Sociometric (‘round robin’) ‘whole network’ studies and small group research * Associational/ Affiliation (‘2-mode’) networks (including ethological studies) * Cognitive mapping and socio-cognitive mapping (SCM) For each methodology we consider the best ways to code and manage raw data, the most efficient formats for importing such data into visualisation and analysis software and appropriate measures and statistics for reporting findings. We also discuss the process of relating validated findings to broader research questions (‘meta-inference’), extrapolating them to other settings and associated questions of research design. 2023-01-16 09:30:00 UTC 2023-01-20 16:00:00 UTC ACSPRI Online Online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all social network researchSocial network analysisMixed MethodsQualitative ResearchQualitative methodssocial media data
  • Introduction to Qualitative Research: Online

    16 - 20 January 2023

    Introduction to Qualitative Research: Online https://dresa.org.au/events/introduction-to-qualitative-research-online In this course you will learn about the foundational elements of qualitative research and how they are interrelated. We will unpack the key components of qualitative research design, including the stances and theories that underpin qualitative methodologies, as well as techniques of data collection and analysis. We pay particular attention to what’s involved in ethically employing popular methods such as interviewing and observation. We also address the practical and ethical considerations of online methods, given the growing uptake of remote research during the coronavirus pandemic. The course combines short lectures covering foundational issues with practical workshops that give you a chance to practice qualitative techniques first-hand. The target audience for this course is those who would like to become more familiar with qualitative research techniques, from postgraduate university students and staff, to researchers in government and private organisations. 2023-01-16 10:00:00 UTC 2023-01-20 16:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchQualitative methodsIntroductoryqualitative data
  • Fundamentals of Statistics: Online

    16 - 20 January 2023

    Fundamentals of Statistics: Online https://dresa.org.au/events/fundamentals-of-statistics-online In this course you will obtain a solid foundation in basic statistical concepts and procedures to progress with some confidence into more advanced topics. This is an introductory unit in statistical methods with the emphasis on statistical techniques applicable to the social sciences, although these introductory techniques are also appropriate to the health sciences. Key examples from journal articles will be presented to illustrate the use and reporting of the statistical techniques covered in this unit. Our approach to learning will be largely non-mathematical, concentrating on concepts rather than mathematical theory. Participants familiar with the use of a statistical software package, but lacking statistical training should also start with this course. SOFTWARE The course will be using the free and open-source software jamovi. The software jamovi can be downloaded from https://www.jamovi.org.download.html While jamovi is built on top of the R statistical language, it has a look and feel very similar to IBM SPSS Statistics and in many ways is easier to use. Depending on student preferences, there will be an opportunity to use IBM SPSS Statistics v28. Instructions will be provided for both packages and students can choose either jamovi or IBM Statistics v28. 2023-01-16 10:00:00 UTC 2023-01-20 16:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Fundamentals of StatisticsStatistical MethodsJamoviquantitativeStatistics
  • Fundamentals of Program Evaluation in Public Policy: Online

    16 - 20 January 2023

    Fundamentals of Program Evaluation in Public Policy: Online https://dresa.org.au/events/fundamentals-of-program-evaluation-in-public-policy-online The course is structured to progress participants through the stages of an evaluation from conceptualisation through to negotiating the design, data collection, synthesis and reporting stages. You will be exposed to key theories and approaches to evaluation and then have the opportunity to apply these to real examples of evaluations. Examples from published studies and the grey literature, and the facilitator’s applied practice in evaluation will be drawn upon to illustrate and reinforce key concepts. This course is designed for public sector workers and academics who are interested in commissioning, managing or conducting evaluations of public policy or programs. 2023-01-16 10:00:00 UTC 2023-01-20 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all evaluationpublic policypublic programspolicy evaluation
  • Fundamentals of Structural Equation Modelling: Online

    16 - 20 January 2023

    Fundamentals of Structural Equation Modelling: Online https://dresa.org.au/events/fundamentals-of-structural-equation-modelling-online Structural equation modelling—or structural equations with latent variables—is a very general statistical model and widely used method. For example, SEM is used in fundamental disciplines such as the social, economic and psychological sciences, the biological sciences, and applied disciplines such as education, health and marketing. SEM has become popular for several reasons, apart from its generality: (i) all SEM models can be represented visually, (ii) a standard notation helps researchers to communicate, and (iii) several software packages for estimating SEM models are readily available (e.g., AMOS, LISREL, Mplus, R). This course provides an overview of the fundamentals of SEM. As well as the statistical theory, an overview of the many applications and capabilities of SEM is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of SEM and how it is used by applied researchers. General aims of the course are for students to develop a readiness for using SEM software and to develop the requisite knowledge for applying SEM methods and models in an intelligent way. Note that participants may be invited to briefly present their own research on the last day of class. This exercise, along with the formal lecture material, might help participants to chart a direction forward in their study and application of SEM. 2023-01-16 10:00:00 UTC 2023-01-20 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all SEMStructural equation modellingStatistical Methodsquantitative
  • Multi-level Analysis using Mplus: Online

    16 - 20 January 2023

    Multi-level Analysis using Mplus: Online https://dresa.org.au/events/multi-level-analysis-using-mplus-online This course is designed as an introduction to the concepts and techniques required to analyse data that is multi-level in nature. (That is, data that is derived from subjects who are nested within groups or data that involves repeated measures that are nested within subjects) In conventional regression analysis it is assumed that subjects are randomly selected and, therefore, all the variance in your dependent variables is due solely to variation amongst individuals. However, in most studies, subjects are clustered within a group and multiple groups are sampled. For example, in an education study, we may have students clustered within multiple classes; in a human resourcing study, we may have employees clustered within multiple work units or teams. In such sampling, although some of the variance in your dependent variables will be due to variation amongst individuals, some the variance in your dependent variables will also be due to variation amongst the groups themselves. In such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. Repeated measure designs should also be analysed using multilevel analysis because the repeated observations are nested within subjects. For example, in a marketing study, we may have repeated measures of consumers’ attitudes to a brand over the life of a marketing campaign; in an epidemiology study, we may have repeated measures of a health outcome over the life of a drug treatment regime. In such studies, although some of the variance in your dependent variables will be due to variation across the various time occasions, some the variance in your dependent variables will also be due to variation amongst individuals themselves. Again, in such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. 2023-01-16 10:00:00 UTC 2023-01-20 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all multilevel modellingSEMStatistical MethodsStatistics
  • Foundations of R for Research: Online

    19 - 20 January 2023

    Foundations of R for Research: Online https://dresa.org.au/events/foundations-of-r-for-research-online This course is a step by step interactive introduction for participants with no experience with R and RStudio. Notes will be provided and a set of exercises, covering a variety of data sets, will be run together during the lecture and also individually at the end of the day. The course content is particularly suited for those involved in research in the business, education, social and health sciences. Participants will first be introduced to the foundations of R such as libraries, matrix manipulation, objects, and data frames. Participants will use R Markdown in RStudio to generate reports, tables and graphics to Word, PDF and HTML files. Once the foundations have been covered a variety of data management skills will introduced (e.g. filtering data, merging data). The production of descriptive statistics tables and graphs will be covered so that participants can easily use RStudio to explore data and produce reports. The last session on each day will finish with a set of exercises for participants to run on their own and practice what they have learned that day. Please note that due to the short 2-day structure, there will not be any time set aside for analysing participant’s own data. 2023-01-19 09:30:00 UTC 2023-01-20 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R softwareIntroductoryR statistical software

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