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103 event found
  • Applied Longitudinal Data Analysis: Online

    13 - 17 February 2023

    Applied Longitudinal Data Analysis: Online https://dresa.org.au/events/applied-longitudinal-data-analysis-online Longitudinal Data Analysis is a very popular statistical method in a range of fields including medicine, natural resource management, business and economics. As well as allowing a researcher to elicit the changes in a subject (person, business, etc) over time, longitudinal data is also exceedingly powerful as it allows the within-subject and between-subject variance to be estimated independently (generally allowing the parameters in the statistical model to be estimated with a much tighter accuracy than traditional models). This course provides an overview of Longitudinal Data Analysis. As well as the statistical theory, an overview of the many applications and capabilities of LDA is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of LDA and how it is used by applied researchers. The workshop will focus on linear mixed effects models, however we will also go through generalized linear mixed effects models and any new material a participant will need to understand in order to successfully use generalized LME’s. There will be exercises using both types of models. The computer exercises for this workshop will be conducted in Stata. Stata has been chosen as it provides both basic and advanced functionality for conducting longitudinal data analyses. A full set of exercises and solutions in Stata will be provided in this workshop, where they include the Stata syntax required to perform each individual exercise. In addition the workshop presenter will demonstrate how to use Stata for the first exercise in each session prior to workshop participants individually working though the exercises for that session. 2023-02-13 10:00:00 UTC 2023-02-17 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all longitudinal dataStatistical Methodsmixed effectsquantitative
  • Applied Structural Equation Modelling: Online

    13 - 17 February 2023

    Applied Structural Equation Modelling: Online https://dresa.org.au/events/applied-structural-equation-modelling-online Structural Equation Modeling (SEM) is used widely by researchers in a diverse array of fields to find and test complex relationships amongst observed (measured) variables and latent (unobserved) variables and amongst the latent variables themselves. SEM subsumes other analytical techniques (such as factor analysis, regression analysis and path analysis) into one omnibus approach to modeling relationships amongst observed and latent variables. This course is designed to introduce participants to a range of basic structural equation models and the use of the AMOS and/or Mplus software to estimate the model parameters. Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course. The target audience for this course is post graduate students, academic staff and other researchers needing to learn how to run basic structural equation models using either the AMOS and/or Mplus software. 2023-02-13 10:00:00 UTC 2023-02-17 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Structural equation modellingStatistical Methodsapplied statisticsquantitative
  • Surveying with Qualtrics at UNE Online

    14 February 2023

    Surveying with Qualtrics at UNE Online https://dresa.org.au/events/surveying-with-qualtrics-at-une-online-737a9361-81b9-485d-bed2-eee991dac62f 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).** 2023-02-14 09:30:00 UTC 2023-02-14 12:45:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at UNE Online

    14 - 15 February 2023

    Learn to Program: R at UNE Online https://dresa.org.au/events/learn-to-program-r-at-une-online-6a4bb30f-20f5-4b5f-93b0-4c3ca938bacb 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).** 2023-02-14 09:30:00 UTC 2023-02-15 12:45:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []
  • Surveying with Qualtrics at Western Sydney: Online

    14 February 2023

    Surveying with Qualtrics at Western Sydney: Online https://dresa.org.au/events/surveying-with-qualtrics-at-western-sydney-online-b6e26da3-4b67-42fb-a858-5bea7c245d42 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).** 2023-02-14 09:30:00 UTC 2023-02-14 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []
  • Longitudinal Trials with REDCap at LTU Online

    14 February 2023

    Longitudinal Trials with REDCap at LTU Online https://dresa.org.au/events/longitudinal-trials-with-redcap-at-ltu-online-614f688d-8e52-462b-bbb9-c6829abda653 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).** 2023-02-14 10:00:00 UTC 2023-02-14 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []
  • Excel for Researchers at UC Online

    14 - 15 February 2023

    Excel for Researchers at UC Online https://dresa.org.au/events/excel-for-researchers-at-uc-online-a3e90a83-cc30-455b-83bc-e9edb2892920 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).** 2023-02-14 13:30:00 UTC 2023-02-15 16:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []
  • Getting started with NVivo for Windows at UNE Online

    15 February 2023

    Getting started with NVivo for Windows at UNE Online https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-une-online-a592a391-281f-418a-a8f5-9ddd12d26747 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).** 2023-02-15 09:30:00 UTC 2023-02-15 12:45:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []
  • Surveys in REDCap

    15 February 2023

    Surveys in REDCap https://dresa.org.au/events/surveys-in-redcap-dbd88c0a-cd29-443a-94df-7996706c8926 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:** - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. - This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - 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!!! **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. 2023-02-15 10:00:00 UTC 2023-02-15 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • ARCOS Symposium Feb 2023

    15 February 2023

    ARCOS Symposium Feb 2023 https://dresa.org.au/events/arcos-symposium-feb-2023 Bringing together the ARCOS Community and others within the sector to share their use cases and contribute to the development of ARCOS 2023-02-15 13:00:00 UTC 2023-02-15 17:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 250 [] open_to_all []
  • ARCOS Symposium 2023

    15 February 2023

    ARCOS Symposium 2023 https://dresa.org.au/events/arcos-symposium-2023 Bringing the ARCOS community and others in the research sector together to share use cases and expertise and advance the ARCOS project. 2023-02-15 13:00:00 UTC 2023-02-15 17:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 250 conference open_to_all []
  • National PID Strategy and Roadmap Workshop - hybrid event

    20 February 2023

    ACTON, Australia

    National PID Strategy and Roadmap Workshop - hybrid event https://dresa.org.au/events/national-pid-strategy-and-roadmap-workshop-hybrid-event The ARDC is coordinating the collaborative development of a National PID Strategy and Roadmap to accelerate and we’d welcome your help. 2023-02-20 10:00:00 UTC 2023-02-20 15:00:00 UTC Australian Research Data Commons The Australian National University, 2 McDonald Place, ACTON, Australia The Australian National University, 2 McDonald Place ACTON Australia 2601 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 350 [] open_to_all []
  • Learn to Program: Python at DPE Online

    21 - 22 February 2023

    Learn to Program: Python at DPE Online https://dresa.org.au/events/learn-to-program-python-at-dpe-online 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).** 2023-02-21 09:30:00 UTC 2023-02-22 12:45:00 UTC Intersect Australia Australia Australia DPE training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at UNSW Online

    21 - 22 February 2023

    Learn to Program: R at UNSW Online https://dresa.org.au/events/learn-to-program-r-at-unsw-online-7f432e8b-9015-4ad2-854b-4e991ba71f7e 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).** 2023-02-21 13:30:00 UTC 2023-02-22 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • National Institutional RDM Framework Showcase

    21 February 2023

    Acton, Australia

    National Institutional RDM Framework Showcase https://dresa.org.au/events/national-institutional-rdm-framework-showcase Celebrating the development of a framework to bring consistency to the management of research data across the university sector. 2023-02-21 14:00:00 UTC 2023-02-21 16:00:00 UTC Australian Research Data Commons McDonald room, Menzies Library, Building 2, McDonald Rd, Acton, Australia McDonald room, Menzies Library, Building 2, McDonald Rd Acton Australia 2601 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 451 [] open_to_all []
  • National Institutional Research Data Management Framework Showcase

    21 February 2023

    Acton, Australia

    National Institutional Research Data Management Framework Showcase https://dresa.org.au/events/national-institutional-research-data-management-framework-showcase Celebrating the development of a framework to bring consistency to the management of research data across the university sector. 2023-02-21 14:00:00 UTC 2023-02-21 16:00:00 UTC Australian Research Data Commons McDonald room, Menzies Library, Building 2, McDonald Rd, Acton, Australia McDonald room, Menzies Library, Building 2, McDonald Rd Acton Australia 2601 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 451 [] open_to_all []
  • Linear Models 1

    22 February 2023

    Linear Models 1 https://dresa.org.au/events/linear-models-1 **Linear Models 1: Linear regression, ANOVA, ANCOVA and repeated measures (a simple mixed model)** focuses on Practical Data Analysis by presenting Statistical Workflows applicable in any software for 4 of the most common univariate analyses: linear regression, ANOVA, ANCOVA, and repeated measures (a simple mixed model). All assuming a normal (gaussian) residual. These workflows can be easily extended to more complex models. The R code used to create output is also included. This is one of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCTs), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around Statistical Workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **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 @Camden:** 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! 2023-02-22 09:30:00 UTC 2023-02-22 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Data Capture and Surveys with REDCap at Western Sydney: Online

    22 February 2023

    Data Capture and Surveys with REDCap at Western Sydney: Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-western-sydney-online-73239d34-f320-4a52-8ad5-004e238b61dc Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Learn how to use branching logic, piping, and calculations - Enter data via forms and distribute surveys - Create, view and export data reports - Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2023-02-22 09:30:00 UTC 2023-02-22 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []
  • Linear Models 2

    22 February 2023

    Linear Models 2 https://dresa.org.au/events/linear-models-2 **Linear Models 2: Logistic and Poisson/count regression-an introduction to Generalised Linear Models (GLM)**, focuses on Practical data analysis by presenting statistical workflows applicable in any software for two of the more common GLMMs: Logistic regression for binary data (using a Binomial distribution); and Poisson/count regression for count data (using a Poisson distribution). The GLM framework is also described in detail. The R code used to create output is also included. This is the second of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCTs), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around statistical workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** **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! 2023-02-22 11:30:00 UTC 2023-02-22 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Statistical Model Building

    22 February 2023

    Statistical Model Building https://dresa.org.au/events/statistical-model-building-b237728b-db09-4388-9bab-2e4646f906d7 This workshop examines and illustrates the key aspects and strategies of statistical model building to help you answer your research question, avoid common pitfalls, erroneous models and incorrect conclusions. Appropriate statistical model building will help you to gain knowledge as opposed to simply getting the best prediction (although that can be a goal as well). We will focus on concepts such as variable selection, multi-collinearity, interactions, selecting a model building strategy, comparing models and evaluating models. In general, these concepts are useful for any statistical model building. This workshop will provide generalised linear regression model examples. The focus will be on practical application of concepts so mathematical descriptions will be kept to a minimum. **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 @Camperdown:** 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! 2023-02-22 14:00:00 UTC 2023-02-22 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Excel for Researchers at UNE Online

    23 - 24 February 2023

    Excel for Researchers at UNE Online https://dresa.org.au/events/excel-for-researchers-at-une-online-da57e0a6-2c41-4b3b-9b01-7ae4c486f964 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).** 2023-02-23 09:30:00 UTC 2023-02-24 12:45:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []
  • Data transfer and Research Data Storage (RDS) for HPC

    23 February 2023

    Data transfer and Research Data Storage (RDS) for HPC https://dresa.org.au/events/data-transfer-and-research-data-storage-rds-for-hpc-70fb8fff-6dd2-4385-8e5c-0709281450ba ### **Sydney Informatics Hub Research Computing Training Series** ## Data transfer and Research Data Storage (RDS) for HPC **Please note: OWN LAPTOP REQUIRED** with a terminal client installed. **Essential pre-requisites**: Competency on the Unix/Linux command line. If you are interested in learning HPC but have no Unix/Linux command-line skills, you should first take an 'Introduction to Unix/Linux' course. We will go through the basics if you have no experience. **Synopsis:** Learn to navigate and interact with the University of Sydney's Research Data Storage options. Learn how to transfer data between your local computer, an external source, the Research Data Store (RDS) and the Artemis High Performance Computer (HPC). Learn how to back up HPC output onto the RDS. **Target audience:** Students and staff who would like to learn how to utilise the RDS and particularly how it integrates with the Artemis HPC. Participants must have a valid USYD unikey. **Follow-on courses:** This course is designed as a 2-part session, with 'Introduction to the Artemis HPC'. IT IS RECOMMENDED TO REGISTER FOR IT. **Course notes and additional courses:** [https://sydney-informatics-hub.github.io/training.artemis/](https://sydney-informatics-hub.github.io/training.artemis/) **For more information:** Email sih.training@sydney.edu.au **Sign up for email alerts about training:** [https://mailman.sydney.edu.au/mailman/listinfo/computing\_training](https://mailman.sydney.edu.au/mailman/listinfo/computing_training) 2023-02-23 10:00:00 UTC 2023-02-23 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Excel for Researchers at LTU Online

    23 - 24 February 2023

    Excel for Researchers at LTU Online https://dresa.org.au/events/excel-for-researchers-at-ltu-online-f17ea117-ea62-47e1-ab41-91d05fedfba5 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).** 2023-02-23 10:00:00 UTC 2023-02-24 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []
  • Data in the Time of Covid - Sources, Linkage, & Pipelines at Vic DoH

    23 February 2023

    Data in the Time of Covid - Sources, Linkage, & Pipelines at Vic DoH https://dresa.org.au/events/data-in-the-time-of-covid-sources-linkage-pipelines-at-vic-doh This talk will describe that transition at the Victorian Department of Health, focusing on the use of data pipelines using R and the targets 2023-02-23 14:00:00 UTC 2023-02-23 15:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 100 [] open_to_all []
  • Learn to Program: Python at Deakin Online

    28 February - 1 March 2023

    Learn to Program: Python at Deakin Online https://dresa.org.au/events/learn-to-program-python-at-deakin-online-334c3268-adf7-4f65-a541-e78a3fcfb882 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).** 2023-02-28 09:30:00 UTC 2023-03-01 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at Western Sydney: Online

    1 - 2 March 2023

    Learn to Program: R at Western Sydney: Online https://dresa.org.au/events/learn-to-program-r-at-western-sydney-online-c3bf35f1-7eea-4e12-ab9b-e7a6c1bb3614 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).** 2023-03-01 09:30:00 UTC 2023-03-02 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []
  • Data Capture and Surveys with REDCap at Deakin Online

    2 March 2023

    Data Capture and Surveys with REDCap at Deakin Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-deakin-online-cd4a1a31-32d8-469b-8a89-d8be99d4f7ec Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Learn how to use branching logic, piping, and calculations - Enter data via forms and distribute surveys - Create, view and export data reports - Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2023-03-02 09:30:00 UTC 2023-03-02 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Databasing Clinic (Australia)

    3 March 2023

    Databasing Clinic (Australia) https://dresa.org.au/events/databasing-clinic-australia-845ed369-c389-4330-b7b9-e7ec8e94c29e 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. 2023-03-03 04:30:00 UTC 2023-03-03 06:00:00 UTC Heurist Network Online Online Heurist Network info@heuristnetwork.org [] [] [] open_to_all Training
  • Data Entry and Processing in SPSS at UNE Online

    7 - 8 March 2023

    Data Entry and Processing in SPSS at UNE Online https://dresa.org.au/events/data-entry-and-processing-in-spss-at-une-online-ca6798f2-1718-47c0-9181-99488eb62a97 This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization. This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills. #### You'll learn: - Navigate the SPSS working environment - Prepare data files and define variables - Enter data in SPSS and Import data from Excel - Perform data screening - Compose SPSS Syntax for data processing - Obtain descriptive statistics, create graphs & assess normality - Manipulate and transform variables #### Prerequisites: In order to participate, attendees must have a licensed copy of SPSS 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/spss101).** 2023-03-07 09:30:00 UTC 2023-03-08 12:45:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []
  • Longitudinal Trials with REDCap at Deakin Online

    7 March 2023

    Longitudinal Trials with REDCap at Deakin Online https://dresa.org.au/events/longitudinal-trials-with-redcap-at-deakin-online 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).** 2023-03-07 09:30:00 UTC 2023-03-07 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Applied Longitudinal Data Analysis: Online

    13 - 17 February 2023

    Applied Longitudinal Data Analysis: Online https://dresa.org.au/events/applied-longitudinal-data-analysis-online Longitudinal Data Analysis is a very popular statistical method in a range of fields including medicine, natural resource management, business and economics. As well as allowing a researcher to elicit the changes in a subject (person, business, etc) over time, longitudinal data is also exceedingly powerful as it allows the within-subject and between-subject variance to be estimated independently (generally allowing the parameters in the statistical model to be estimated with a much tighter accuracy than traditional models). This course provides an overview of Longitudinal Data Analysis. As well as the statistical theory, an overview of the many applications and capabilities of LDA is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of LDA and how it is used by applied researchers. The workshop will focus on linear mixed effects models, however we will also go through generalized linear mixed effects models and any new material a participant will need to understand in order to successfully use generalized LME’s. There will be exercises using both types of models. The computer exercises for this workshop will be conducted in Stata. Stata has been chosen as it provides both basic and advanced functionality for conducting longitudinal data analyses. A full set of exercises and solutions in Stata will be provided in this workshop, where they include the Stata syntax required to perform each individual exercise. In addition the workshop presenter will demonstrate how to use Stata for the first exercise in each session prior to workshop participants individually working though the exercises for that session. 2023-02-13 10:00:00 UTC 2023-02-17 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all longitudinal dataStatistical Methodsmixed effectsquantitative
  • Applied Structural Equation Modelling: Online

    13 - 17 February 2023

    Applied Structural Equation Modelling: Online https://dresa.org.au/events/applied-structural-equation-modelling-online Structural Equation Modeling (SEM) is used widely by researchers in a diverse array of fields to find and test complex relationships amongst observed (measured) variables and latent (unobserved) variables and amongst the latent variables themselves. SEM subsumes other analytical techniques (such as factor analysis, regression analysis and path analysis) into one omnibus approach to modeling relationships amongst observed and latent variables. This course is designed to introduce participants to a range of basic structural equation models and the use of the AMOS and/or Mplus software to estimate the model parameters. Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course. The target audience for this course is post graduate students, academic staff and other researchers needing to learn how to run basic structural equation models using either the AMOS and/or Mplus software. 2023-02-13 10:00:00 UTC 2023-02-17 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Structural equation modellingStatistical Methodsapplied statisticsquantitative
  • Surveying with Qualtrics at UNE Online

    14 February 2023

    Surveying with Qualtrics at UNE Online https://dresa.org.au/events/surveying-with-qualtrics-at-une-online-737a9361-81b9-485d-bed2-eee991dac62f 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).** 2023-02-14 09:30:00 UTC 2023-02-14 12:45:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at UNE Online

    14 - 15 February 2023

    Learn to Program: R at UNE Online https://dresa.org.au/events/learn-to-program-r-at-une-online-6a4bb30f-20f5-4b5f-93b0-4c3ca938bacb 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).** 2023-02-14 09:30:00 UTC 2023-02-15 12:45:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []
  • Surveying with Qualtrics at Western Sydney: Online

    14 February 2023

    Surveying with Qualtrics at Western Sydney: Online https://dresa.org.au/events/surveying-with-qualtrics-at-western-sydney-online-b6e26da3-4b67-42fb-a858-5bea7c245d42 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).** 2023-02-14 09:30:00 UTC 2023-02-14 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []
  • Longitudinal Trials with REDCap at LTU Online

    14 February 2023

    Longitudinal Trials with REDCap at LTU Online https://dresa.org.au/events/longitudinal-trials-with-redcap-at-ltu-online-614f688d-8e52-462b-bbb9-c6829abda653 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).** 2023-02-14 10:00:00 UTC 2023-02-14 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []
  • Excel for Researchers at UC Online

    14 - 15 February 2023

    Excel for Researchers at UC Online https://dresa.org.au/events/excel-for-researchers-at-uc-online-a3e90a83-cc30-455b-83bc-e9edb2892920 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).** 2023-02-14 13:30:00 UTC 2023-02-15 16:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []
  • Getting started with NVivo for Windows at UNE Online

    15 February 2023

    Getting started with NVivo for Windows at UNE Online https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-une-online-a592a391-281f-418a-a8f5-9ddd12d26747 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).** 2023-02-15 09:30:00 UTC 2023-02-15 12:45:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []
  • Surveys in REDCap

    15 February 2023

    Surveys in REDCap https://dresa.org.au/events/surveys-in-redcap-dbd88c0a-cd29-443a-94df-7996706c8926 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:** - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. - This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - 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!!! **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. 2023-02-15 10:00:00 UTC 2023-02-15 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • ARCOS Symposium Feb 2023

    15 February 2023

    ARCOS Symposium Feb 2023 https://dresa.org.au/events/arcos-symposium-feb-2023 Bringing together the ARCOS Community and others within the sector to share their use cases and contribute to the development of ARCOS 2023-02-15 13:00:00 UTC 2023-02-15 17:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 250 [] open_to_all []
  • ARCOS Symposium 2023

    15 February 2023

    ARCOS Symposium 2023 https://dresa.org.au/events/arcos-symposium-2023 Bringing the ARCOS community and others in the research sector together to share use cases and expertise and advance the ARCOS project. 2023-02-15 13:00:00 UTC 2023-02-15 17:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 250 conference open_to_all []
  • National PID Strategy and Roadmap Workshop - hybrid event

    20 February 2023

    ACTON, Australia

    National PID Strategy and Roadmap Workshop - hybrid event https://dresa.org.au/events/national-pid-strategy-and-roadmap-workshop-hybrid-event The ARDC is coordinating the collaborative development of a National PID Strategy and Roadmap to accelerate and we’d welcome your help. 2023-02-20 10:00:00 UTC 2023-02-20 15:00:00 UTC Australian Research Data Commons The Australian National University, 2 McDonald Place, ACTON, Australia The Australian National University, 2 McDonald Place ACTON Australia 2601 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 350 [] open_to_all []
  • Learn to Program: Python at DPE Online

    21 - 22 February 2023

    Learn to Program: Python at DPE Online https://dresa.org.au/events/learn-to-program-python-at-dpe-online 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).** 2023-02-21 09:30:00 UTC 2023-02-22 12:45:00 UTC Intersect Australia Australia Australia DPE training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at UNSW Online

    21 - 22 February 2023

    Learn to Program: R at UNSW Online https://dresa.org.au/events/learn-to-program-r-at-unsw-online-7f432e8b-9015-4ad2-854b-4e991ba71f7e 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).** 2023-02-21 13:30:00 UTC 2023-02-22 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • National Institutional RDM Framework Showcase

    21 February 2023

    Acton, Australia

    National Institutional RDM Framework Showcase https://dresa.org.au/events/national-institutional-rdm-framework-showcase Celebrating the development of a framework to bring consistency to the management of research data across the university sector. 2023-02-21 14:00:00 UTC 2023-02-21 16:00:00 UTC Australian Research Data Commons McDonald room, Menzies Library, Building 2, McDonald Rd, Acton, Australia McDonald room, Menzies Library, Building 2, McDonald Rd Acton Australia 2601 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 451 [] open_to_all []
  • National Institutional Research Data Management Framework Showcase

    21 February 2023

    Acton, Australia

    National Institutional Research Data Management Framework Showcase https://dresa.org.au/events/national-institutional-research-data-management-framework-showcase Celebrating the development of a framework to bring consistency to the management of research data across the university sector. 2023-02-21 14:00:00 UTC 2023-02-21 16:00:00 UTC Australian Research Data Commons McDonald room, Menzies Library, Building 2, McDonald Rd, Acton, Australia McDonald room, Menzies Library, Building 2, McDonald Rd Acton Australia 2601 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 451 [] open_to_all []
  • Linear Models 1

    22 February 2023

    Linear Models 1 https://dresa.org.au/events/linear-models-1 **Linear Models 1: Linear regression, ANOVA, ANCOVA and repeated measures (a simple mixed model)** focuses on Practical Data Analysis by presenting Statistical Workflows applicable in any software for 4 of the most common univariate analyses: linear regression, ANOVA, ANCOVA, and repeated measures (a simple mixed model). All assuming a normal (gaussian) residual. These workflows can be easily extended to more complex models. The R code used to create output is also included. This is one of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCTs), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around Statistical Workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **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 @Camden:** 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! 2023-02-22 09:30:00 UTC 2023-02-22 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Data Capture and Surveys with REDCap at Western Sydney: Online

    22 February 2023

    Data Capture and Surveys with REDCap at Western Sydney: Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-western-sydney-online-73239d34-f320-4a52-8ad5-004e238b61dc Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Learn how to use branching logic, piping, and calculations - Enter data via forms and distribute surveys - Create, view and export data reports - Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2023-02-22 09:30:00 UTC 2023-02-22 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []
  • Linear Models 2

    22 February 2023

    Linear Models 2 https://dresa.org.au/events/linear-models-2 **Linear Models 2: Logistic and Poisson/count regression-an introduction to Generalised Linear Models (GLM)**, focuses on Practical data analysis by presenting statistical workflows applicable in any software for two of the more common GLMMs: Logistic regression for binary data (using a Binomial distribution); and Poisson/count regression for count data (using a Poisson distribution). The GLM framework is also described in detail. The R code used to create output is also included. This is the second of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCTs), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around statistical workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** **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! 2023-02-22 11:30:00 UTC 2023-02-22 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Statistical Model Building

    22 February 2023

    Statistical Model Building https://dresa.org.au/events/statistical-model-building-b237728b-db09-4388-9bab-2e4646f906d7 This workshop examines and illustrates the key aspects and strategies of statistical model building to help you answer your research question, avoid common pitfalls, erroneous models and incorrect conclusions. Appropriate statistical model building will help you to gain knowledge as opposed to simply getting the best prediction (although that can be a goal as well). We will focus on concepts such as variable selection, multi-collinearity, interactions, selecting a model building strategy, comparing models and evaluating models. In general, these concepts are useful for any statistical model building. This workshop will provide generalised linear regression model examples. The focus will be on practical application of concepts so mathematical descriptions will be kept to a minimum. **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 @Camperdown:** 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! 2023-02-22 14:00:00 UTC 2023-02-22 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Excel for Researchers at UNE Online

    23 - 24 February 2023

    Excel for Researchers at UNE Online https://dresa.org.au/events/excel-for-researchers-at-une-online-da57e0a6-2c41-4b3b-9b01-7ae4c486f964 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).** 2023-02-23 09:30:00 UTC 2023-02-24 12:45:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []
  • Data transfer and Research Data Storage (RDS) for HPC

    23 February 2023

    Data transfer and Research Data Storage (RDS) for HPC https://dresa.org.au/events/data-transfer-and-research-data-storage-rds-for-hpc-70fb8fff-6dd2-4385-8e5c-0709281450ba ### **Sydney Informatics Hub Research Computing Training Series** ## Data transfer and Research Data Storage (RDS) for HPC **Please note: OWN LAPTOP REQUIRED** with a terminal client installed. **Essential pre-requisites**: Competency on the Unix/Linux command line. If you are interested in learning HPC but have no Unix/Linux command-line skills, you should first take an 'Introduction to Unix/Linux' course. We will go through the basics if you have no experience. **Synopsis:** Learn to navigate and interact with the University of Sydney's Research Data Storage options. Learn how to transfer data between your local computer, an external source, the Research Data Store (RDS) and the Artemis High Performance Computer (HPC). Learn how to back up HPC output onto the RDS. **Target audience:** Students and staff who would like to learn how to utilise the RDS and particularly how it integrates with the Artemis HPC. Participants must have a valid USYD unikey. **Follow-on courses:** This course is designed as a 2-part session, with 'Introduction to the Artemis HPC'. IT IS RECOMMENDED TO REGISTER FOR IT. **Course notes and additional courses:** [https://sydney-informatics-hub.github.io/training.artemis/](https://sydney-informatics-hub.github.io/training.artemis/) **For more information:** Email sih.training@sydney.edu.au **Sign up for email alerts about training:** [https://mailman.sydney.edu.au/mailman/listinfo/computing\_training](https://mailman.sydney.edu.au/mailman/listinfo/computing_training) 2023-02-23 10:00:00 UTC 2023-02-23 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Excel for Researchers at LTU Online

    23 - 24 February 2023

    Excel for Researchers at LTU Online https://dresa.org.au/events/excel-for-researchers-at-ltu-online-f17ea117-ea62-47e1-ab41-91d05fedfba5 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).** 2023-02-23 10:00:00 UTC 2023-02-24 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []
  • Data in the Time of Covid - Sources, Linkage, & Pipelines at Vic DoH

    23 February 2023

    Data in the Time of Covid - Sources, Linkage, & Pipelines at Vic DoH https://dresa.org.au/events/data-in-the-time-of-covid-sources-linkage-pipelines-at-vic-doh This talk will describe that transition at the Victorian Department of Health, focusing on the use of data pipelines using R and the targets 2023-02-23 14:00:00 UTC 2023-02-23 15:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 100 [] open_to_all []
  • Learn to Program: Python at Deakin Online

    28 February - 1 March 2023

    Learn to Program: Python at Deakin Online https://dresa.org.au/events/learn-to-program-python-at-deakin-online-334c3268-adf7-4f65-a541-e78a3fcfb882 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).** 2023-02-28 09:30:00 UTC 2023-03-01 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at Western Sydney: Online

    1 - 2 March 2023

    Learn to Program: R at Western Sydney: Online https://dresa.org.au/events/learn-to-program-r-at-western-sydney-online-c3bf35f1-7eea-4e12-ab9b-e7a6c1bb3614 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).** 2023-03-01 09:30:00 UTC 2023-03-02 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []
  • Data Capture and Surveys with REDCap at Deakin Online

    2 March 2023

    Data Capture and Surveys with REDCap at Deakin Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-deakin-online-cd4a1a31-32d8-469b-8a89-d8be99d4f7ec Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Learn how to use branching logic, piping, and calculations - Enter data via forms and distribute surveys - Create, view and export data reports - Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2023-03-02 09:30:00 UTC 2023-03-02 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Databasing Clinic (Australia)

    3 March 2023

    Databasing Clinic (Australia) https://dresa.org.au/events/databasing-clinic-australia-845ed369-c389-4330-b7b9-e7ec8e94c29e 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. 2023-03-03 04:30:00 UTC 2023-03-03 06:00:00 UTC Heurist Network Online Online Heurist Network info@heuristnetwork.org [] [] [] open_to_all Training
  • Data Entry and Processing in SPSS at UNE Online

    7 - 8 March 2023

    Data Entry and Processing in SPSS at UNE Online https://dresa.org.au/events/data-entry-and-processing-in-spss-at-une-online-ca6798f2-1718-47c0-9181-99488eb62a97 This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization. This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills. #### You'll learn: - Navigate the SPSS working environment - Prepare data files and define variables - Enter data in SPSS and Import data from Excel - Perform data screening - Compose SPSS Syntax for data processing - Obtain descriptive statistics, create graphs & assess normality - Manipulate and transform variables #### Prerequisites: In order to participate, attendees must have a licensed copy of SPSS 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/spss101).** 2023-03-07 09:30:00 UTC 2023-03-08 12:45:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []
  • Longitudinal Trials with REDCap at Deakin Online

    7 March 2023

    Longitudinal Trials with REDCap at Deakin Online https://dresa.org.au/events/longitudinal-trials-with-redcap-at-deakin-online 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).** 2023-03-07 09:30:00 UTC 2023-03-07 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []

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