Register event
81 events found

Organiser: Sydney Informatics Hub  or QCIF 

  • Statistical Comparisons Using R

    17 - 18 June 2024

    Statistical Comparisons Using R https://dresa.org.au/events/statistical-comparisons-using-r-ed814e28-4433-4d11-aba4-6b23f11a3b63 This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in R. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 2024-06-17 09:00:00 UTC 2024-06-18 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Intro to REDCap (offered by Research Data Strategy, RIEA)

    18 June 2024

    Intro to REDCap (offered by Research Data Strategy, RIEA) https://dresa.org.au/events/intro-to-redcap-offered-by-research-data-strategy-riea Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** - 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. **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 "https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html")for more information. 2024-06-18 14:00:00 UTC 2024-06-18 16:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • REDCap 201: Advanced Project Management

    19 June 2024

    REDCap 201: Advanced Project Management https://dresa.org.au/events/redcap-201-advanced-project-management-46bd505e-9733-4234-97a4-8f6236de6bb3 REDCap is a widely used platform for managing and sharing surveys and registries of clinical research data. This series of short training modules covers everything from an introductory guide to REDCap through to running complex clinical trials. The modules are all stand-alone, and attendees can pick and choose which to attend depending on prior experience and research needs. 2024-06-19 09:00:00 UTC 2024-06-19 11:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Statistical Comparisons using SPSS

    20 - 21 June 2024

    Statistical Comparisons using SPSS https://dresa.org.au/events/statistical-comparisons-using-spss-1360351b-d38e-4c64-aeb1-5832dd5a1df1 This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in SPSS. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 2024-06-20 09:00:00 UTC 2024-06-21 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Exploring and Predicting using Linear Regression in R

    24 June 2024

    Exploring and Predicting using Linear Regression in R https://dresa.org.au/events/exploring-and-predicting-using-linear-regression-in-r-5035e900-7195-4c5a-8017-01f1749cf0f8 This workshop is designed to increase participants understanding of statistical relationships between data. It introduces principles and methods of regression models using R, and how to interpret relationships between variables. The course covers basic principles of regression methods through to interpreting the output of statistical analyses, and also includes practical sessions giving hands-on experience with regression analysis in R. 2024-06-24 09:00:00 UTC 2024-06-24 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Introduction to Programming: Plotting and Programming with Python

    25 - 28 June 2024

    Introduction to Programming: Plotting and Programming with Python https://dresa.org.au/events/introduction-to-programming-plotting-and-programming-with-python-b7970551-891d-4451-8952-b0fda2ede089 This Software Carpentry workshop will introduce the building blocks of the Python scripting environment. Participants will start by exploring the command-line interface and basic programming concepts using Unix, before moving on to learn about simple and complex data types, conditionals and looping in Python. This workshop will prepare participants to carry out batch analysis and equip them with the knowledge to start creating automated pipelines to increase data processing power and productivity. 2024-06-25 09:00:00 UTC 2024-06-28 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Surveys in REDCap (offered by Research Data Strategy, RIEA)

    25 June 2024

    Surveys in REDCap (offered by Research Data Strategy, RIEA) https://dresa.org.au/events/surveys-in-redcap-offered-by-research-data-strategy-riea 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 **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 "https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html")for more information. 2024-06-25 14:00:00 UTC 2024-06-25 16:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • REDCap 202: Finalising and Running a Clinical Trial

    26 June 2024

    REDCap 202: Finalising and Running a Clinical Trial https://dresa.org.au/events/redcap-202-finalising-and-running-a-clinical-trial-baa7b816-c1cd-47bf-94d6-b2e6dc7390e8 REDCap is a widely used platform for managing and sharing surveys and registries of clinical research data. This series of short training modules covers everything from an introductory guide to REDCap through to running complex clinical trials. The modules are all stand-alone, and attendees can pick and choose which to attend depending on prior experience and research needs. 2024-06-26 09:00:00 UTC 2024-06-26 11:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Research Essentials – Analysing your Data

    1 July 2024

    Research Essentials – Analysing your Data https://dresa.org.au/events/research-essentials-analysing-your-data-18b00606-e996-472b-889e-f5afa2cbd844 **Research Essentials - Analysing your data** This workshop presents methods and concepts that will help you create world-changing research worthy of top-tier journals. We introduce the concept of a research workflow, a series of defined steps that will assist you in thinking about your data and preparing it for statistical analysis. We introduce you to the resources available from both Sydney Informatics Hub and across the University that will support you in proceeding from hypothesis generation all the way through to publication. Data analysis concepts will be covered in detail, including: how experimental design fits into hypothesis generation and your final publication; how to manage your analysis data and Exploratory Data Analysis (EDA) – an essential and often-overlooked stage of data analysis for determining the appropriate statistical methods to apply in your research. We will show you some of the more advanced statistical analysis methods to give you and idea of what is possible. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a range of commonly available software through the university. **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!** 2024-07-01 09:30:00 UTC 2024-07-01 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Australian BioCommons Workshop:Phylogenetics - back to basics

    1 July 2024

    Australian BioCommons Workshop:Phylogenetics - back to basics https://dresa.org.au/events/australian-biocommons-workshop-phylogenetics-back-to-basics This presentation and workshop focuses on the key aspects of experimental design that researchers and students may need to apply in their research. Higher degree research students engaging in new research are especially invited to attend. During the workshop there will be the opportunity to discuss your own research question and associated experimental design. The workshop will include the following topics: - your research question - experimental validity - randomisation and bias - blinding and bias - blocking and confounding - fixed and random effects - replication, experimental units No pre-requisite knowledge of statistical methods is required. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the _**In person**_ ticket option. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2024-07-01 11:30:00 UTC 2024-07-01 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Experimental Design

    1 July 2024

    Experimental Design https://dresa.org.au/events/experimental-design-fda4e907-1e50-48c0-8c14-b3d8573b2ea1 This presentation and workshop focuses on the key aspects of experimental design that researchers and students may need to apply in their research. Higher degree research students engaging in new research are especially invited to attend. During the workshop there will be the opportunity to discuss your own research question and associated experimental design. The workshop will include the following topics: - your research question - experimental validity - randomisation and bias - blinding and bias - blocking and confounding - fixed and random effects - replication, experimental units No pre-requisite knowledge of statistical methods is required. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the _**In person**_ ticket option. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2024-07-01 11:30:00 UTC 2024-07-01 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Introduction to Survival Analysis

    1 July 2024

    Introduction to Survival Analysis https://dresa.org.au/events/introduction-to-survival-analysis-8b43d3e5-6b12-436c-b820-19b5655c5046 Survival analysis is used when you want to measure the time elapsed up to when a specified event occurs. It is commonly used in studies where subjects are followed until death occurs, hence the name. In this workshop we will introduce some key concepts pertaining to survival analysis including censoring of cases, the survival function, and the hazard ratio estimator. The Kaplan Meier survival curve will be explained through a worked example and the technique of Cox proportional hazards regression will be introduced using the same example dataset. Participants will be provided with software code in SPSS and R to reproduce the analysis presented in the workshop. **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!** 2024-07-01 14:00:00 UTC 2024-07-01 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Single-cell RNA-Seq Analysis using Galaxy

    4 July 2024

    Single-cell RNA-Seq Analysis using Galaxy https://dresa.org.au/events/single-cell-rna-seq-analysis-using-galaxy-7296170d-72ae-4d12-b670-b2ef5fea6e66 This hands-on workshop will cover the basics of single-cell RNA-Seq analysis, using the Galaxy platform. Starting from a table of gene counts we will evaluate, filter, annotate and visualise the data. We will also cover clustering, cell type identification and differential expression. The workshop will be based in Galaxy, a platform that provides a simple and user-friendly interface to bioinformatics tools. 2024-07-04 09:00:00 UTC 2024-07-04 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Introduction to Programming: R for Reproducible Scientific Analysis

    9 - 12 July 2024

    Introduction to Programming: R for Reproducible Scientific Analysis https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-15b74f6c-9c48-4474-9a35-d54a66c271a9 This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2024-07-09 09:00:00 UTC 2024-07-12 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Statistical Comparisons using SPSS

    12 July 2024

    Statistical Comparisons using SPSS https://dresa.org.au/events/statistical-comparisons-using-spss-9afce58c-c6a8-47d3-ad5a-87d5085b3fa8 This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in SPSS. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 2024-07-12 09:00:00 UTC 2024-07-12 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Working with Sensitive Data

    16 July 2024

    Working with Sensitive Data https://dresa.org.au/events/working-with-sensitive-data-067d5a1f-89f5-4866-a7a5-d2dc2154c8aa This workshop uses practical and discussion-based training to guide researchers about identifying what constitutes sensitive data, the risks of working with sensitive data, and how to appropriately manage those risks. It covers the 'Five Safes' framework and researchers' responsibilities, and introduces ways to promote data security and mitigate disclosure risks. 2024-07-16 09:00:00 UTC 2024-07-16 11:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Exploring and Predicting using Linear Regression in SPSS

    18 July 2024

    Exploring and Predicting using Linear Regression in SPSS https://dresa.org.au/events/exploring-and-predicting-using-linear-regression-in-spss-27f690d7-d6cd-4ef8-b036-10e5f2af5b17 This workshop is designed to increase participants understanding of statistical relationships between data. It introduces principles and methods of regression models using SPSS, and how to interpret relationships between variables. The course covers basic principles of regression methods through to interpreting the output of statistical analyses, and also includes practical sessions giving hands-on experience with regression analysis in SPSS. 2024-07-18 09:00:00 UTC 2024-07-18 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Meta-Analysis: an introduction

    22 July 2024

    Meta-Analysis: an introduction https://dresa.org.au/events/meta-analysis-an-introduction-cfaae4e7-5130-455b-8201-6a213e4b1077 **Meta Analysis - An Introduction, run by the Sydney Informatics Hub.** This workshop provides research students with a theoretical and practical introduction to meta-analysis as part of a systematic review. In this workshop we will be examining the process of performing a meta-analysis in particular focusing on key statistical concepts such as heterogeneity and Fixed and Random effects modelling. The available choices of statistical software will be discussed and participants will be shown worked examples using the **metafor** package in R. A basic knowledge of R software is desirable, but not necessary since participants are not expected to produce and run their own code during the workshop. **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 - 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!!! 2024-07-22 09:30:00 UTC 2024-07-22 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Linear Models 3

    22 July 2024

    Linear Models 3 https://dresa.org.au/events/linear-models-3-baf32e31-153c-4cca-83b1-f8ca38ddc1a5 **Linear Models 3: Advanced topics, tips and tricks** Discusses topics such as: - Reporting and Interpretation (estimated marginal means, confidence vs prediction intervals, applying and correcting for multiple comparisons, reporting variable \*Importance\*, plus other reporting and interpretation tricks) - Model Parametrisation using the Design Matrix (interpreting categorical predictor parameters, dummy coding, effects coding) - More on Mixed Models (introducing the random slope) This is the third 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 (RCT’s), 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 - 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!!!** 2024-07-22 11:30:00 UTC 2024-07-22 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Multivariate Statistical Analysis 1: Dimension Reduction

    22 July 2024

    Multivariate Statistical Analysis 1: Dimension Reduction https://dresa.org.au/events/multivariate-statistical-analysis-1-dimension-reduction-0fdb5651-0866-4d25-ace8-6f2fbe679b23 **Multivariate Statistical Analysis 1: Dimension Reduction** In multivariate statistics we simultaneously model and estimate variability in more than one variable often in order to examine the relationship between variables. This workshop examines the key aspects of moving from univariate to multivariate analysis, and the situations and scenarios where multivariate analysis is typically applied. The focus will be on practical application of concepts through examples. **Topics covered will include:** - Motivations for undertaking multivariate analysis - Statistical principles for multivariate analysis - Dimension reduction techniques including principal components analysis (PCA), factor analysis (FA), correspondence analysis (CA) and non-metric multidimensional scaling (nMDS) This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Pre-requisites** Prior experience with statistical modelling is assumed, as the basics of regression modelling will not be covered. Please consider attending Linear Models 1 and/or Linear Models 2 workshops to come up to speed beforehand. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a wide range of commonly available software. **Attendance options** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person**: Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2024-07-22 14:00:00 UTC 2024-07-22 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Working with Sensitive Data

    23 July 2024

    Working with Sensitive Data https://dresa.org.au/events/working-with-sensitive-data-9ac16bad-15bd-4f49-873a-63ea11f70d6e This workshop uses practical and discussion-based training to guide researchers about identifying what constitutes sensitive data, the risks of working with sensitive data, and how to appropriately manage those risks. It covers the 'Five Safes' framework and researchers' responsibilities, and introduces ways to promote data security and mitigate disclosure risks. 2024-07-23 09:00:00 UTC 2024-07-23 11:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Longitudinal and Mixed Model Analysis with R

    23 July 2024

    Longitudinal and Mixed Model Analysis with R https://dresa.org.au/events/longitudinal-and-mixed-model-analysis-with-r-6fff8573-11f0-4060-9128-41eafbd4f078 This workshop will develop participants’ understanding of the principles, methods, and interpretation of statistical models for longitudinal data (i.e. repeated measures over time) using R. The course will cover the principles of Linear Mixed Models from simple models to more complex ones and includes practical sessions getting hands-on experience of longitudinal analysis in R. 2024-07-23 09:00:00 UTC 2024-07-23 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Containers for Reproducible Computational Environments

    24 July 2024

    Containers for Reproducible Computational Environments https://dresa.org.au/events/containers-for-reproducible-computational-environments-c06884b4-1fc4-4893-a639-57039cfa08cd Containers are self-contained pieces of software that allow you to run applications easily across all sorts of different computing hardware – from your laptop to your institutional high-performance computing system – without the need for a complicated installation process. Containers are also an effective way of achieving a reproducible analysis pipeline, allowing researchers to ensure that the same version of an application and consistent computational environment are used each time. This short introductory course will show you how to find and use Singularity containers in a typical university HPC (high performance computing) context. The workshop does not cover the use of the Docker container platform, although you will learn how to import Docker containers into Singularity. 2024-07-24 09:00:00 UTC 2024-07-24 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Genome Annotation with Apollo

    25 July 2024

    Genome Annotation with Apollo https://dresa.org.au/events/genome-annotation-with-apollo-9f5eeed8-4bc8-41fb-af36-968182b8891b Genome annotation is crucial to defining the function of genomic sequences. Apollo is a popular tool for facilitating real-time, collaborative, curation and genome annotation editing. In this workshop we'll show you how to use Apollo to refine genome annotations using the Australian Apollo Service. 2024-07-25 09:00:00 UTC 2024-07-25 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Data Visualisation for Research Communication

    30 July 2024

    Data Visualisation for Research Communication https://dresa.org.au/events/data-visualisation-for-research-communication-e90db2e1-5a23-411c-8843-28f59691110a Research communication is much more than just writing journal papers; to maximise the impact of your work, it's vital that you make your research findings accessible and engaging to a wide audience. Data storytelling is a powerful way achieving this, by conveying your ideas in a clear and memorable way. This interactive webinar focuses on developing your data storytelling skills by introducing a range of data visualisation techniques that you can use to combine the three elements of data, visuals and narrative into a meaningful and memorable story. By using these three elements, you can weave a story about your research for an array of audiences, in a way that they will connect with and remember. 2024-07-30 13:30:00 UTC 2024-07-30 15:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] webinar open_to_all []
  • Introduction to SPSS

    2 August 2024

    Introduction to SPSS https://dresa.org.au/events/introduction-to-spss-6e4b181e-4aa0-4937-a388-764e4cca553e This workshop will provide a hands-on introduction to the widely-used SPSS statistical analysis package. Participants will learn how to import, manage and transform datasets, and how to summarise and present data. The workshop will also include a basic introduction to statistical testing using SPSS. 2024-08-02 09:00:00 UTC 2024-08-02 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Introduction to Programming: R for Reproducible Scientific Analysis

    5 - 8 August 2024

    Introduction to Programming: R for Reproducible Scientific Analysis https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-00fa38e1-6d3f-497c-88e8-85cf771dcd27 This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2024-08-05 09:00:00 UTC 2024-08-08 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Statistical Comparisons Using R

    12 - 13 August 2024

    Statistical Comparisons Using R https://dresa.org.au/events/statistical-comparisons-using-r-79154708-821b-436e-8b7f-df28502f8ca7 This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in R. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 2024-08-12 09:00:00 UTC 2024-08-13 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Research Essentials - Analysing your Data

    13 August 2024

    Research Essentials - Analysing your Data https://dresa.org.au/events/research-essentials-analysing-your-data-a1813e0b-aebc-4583-a30b-dc6dfc6b1618 **Research Essentials - Analysing your data** This workshop presents methods and concepts that will help you create world-changing research worthy of top-tier journals. We introduce the concept of a research workflow, a series of defined steps that will assist you in thinking about your data and preparing it for statistical analysis. We introduce you to the resources available from both Sydney Informatics Hub and across the University that will support you in proceeding from hypothesis generation all the way through to publication. Data analysis concepts will be covered in detail, including: how experimental design fits into hypothesis generation and your final publication; how to manage your analysis data and Exploratory Data Analysis (EDA) – an essential and often-overlooked stage of data analysis for determining the appropriate statistical methods to apply in your research. We will show you some of the more advanced statistical analysis methods to give you and idea of what is possible. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a range of commonly available software through the university. **Attendance options:** **In person @ Camden Campus:** 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!** 2024-08-13 09:30:00 UTC 2024-08-13 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Experimental Design

    13 August 2024

    Experimental Design https://dresa.org.au/events/experimental-design-fbfb45b4-55d8-4444-97a8-a17581b7f877 This presentation and workshop focuses on the key aspects of experimental design that researchers and students may need to apply in their research. Higher degree research students engaging in new research are especially invited to attend. During the workshop there will be the opportunity to discuss your own research question and associated experimental design. The workshop will include the following topics: - your research question - experimental validity - randomisation and bias - blinding and bias - blocking and confounding - fixed and random effects - replication, experimental units No pre-requisite knowledge of statistical methods is required. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person @ Camden Campus:** 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!** 2024-08-13 11:30:00 UTC 2024-08-13 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Statistical Comparisons Using R

    17 - 18 June 2024

    Statistical Comparisons Using R https://dresa.org.au/events/statistical-comparisons-using-r-ed814e28-4433-4d11-aba4-6b23f11a3b63 This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in R. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 2024-06-17 09:00:00 UTC 2024-06-18 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Intro to REDCap (offered by Research Data Strategy, RIEA)

    18 June 2024

    Intro to REDCap (offered by Research Data Strategy, RIEA) https://dresa.org.au/events/intro-to-redcap-offered-by-research-data-strategy-riea Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** - 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. **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 "https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html")for more information. 2024-06-18 14:00:00 UTC 2024-06-18 16:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • REDCap 201: Advanced Project Management

    19 June 2024

    REDCap 201: Advanced Project Management https://dresa.org.au/events/redcap-201-advanced-project-management-46bd505e-9733-4234-97a4-8f6236de6bb3 REDCap is a widely used platform for managing and sharing surveys and registries of clinical research data. This series of short training modules covers everything from an introductory guide to REDCap through to running complex clinical trials. The modules are all stand-alone, and attendees can pick and choose which to attend depending on prior experience and research needs. 2024-06-19 09:00:00 UTC 2024-06-19 11:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Statistical Comparisons using SPSS

    20 - 21 June 2024

    Statistical Comparisons using SPSS https://dresa.org.au/events/statistical-comparisons-using-spss-1360351b-d38e-4c64-aeb1-5832dd5a1df1 This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in SPSS. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 2024-06-20 09:00:00 UTC 2024-06-21 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Exploring and Predicting using Linear Regression in R

    24 June 2024

    Exploring and Predicting using Linear Regression in R https://dresa.org.au/events/exploring-and-predicting-using-linear-regression-in-r-5035e900-7195-4c5a-8017-01f1749cf0f8 This workshop is designed to increase participants understanding of statistical relationships between data. It introduces principles and methods of regression models using R, and how to interpret relationships between variables. The course covers basic principles of regression methods through to interpreting the output of statistical analyses, and also includes practical sessions giving hands-on experience with regression analysis in R. 2024-06-24 09:00:00 UTC 2024-06-24 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Introduction to Programming: Plotting and Programming with Python

    25 - 28 June 2024

    Introduction to Programming: Plotting and Programming with Python https://dresa.org.au/events/introduction-to-programming-plotting-and-programming-with-python-b7970551-891d-4451-8952-b0fda2ede089 This Software Carpentry workshop will introduce the building blocks of the Python scripting environment. Participants will start by exploring the command-line interface and basic programming concepts using Unix, before moving on to learn about simple and complex data types, conditionals and looping in Python. This workshop will prepare participants to carry out batch analysis and equip them with the knowledge to start creating automated pipelines to increase data processing power and productivity. 2024-06-25 09:00:00 UTC 2024-06-28 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Surveys in REDCap (offered by Research Data Strategy, RIEA)

    25 June 2024

    Surveys in REDCap (offered by Research Data Strategy, RIEA) https://dresa.org.au/events/surveys-in-redcap-offered-by-research-data-strategy-riea 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 **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 "https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html")for more information. 2024-06-25 14:00:00 UTC 2024-06-25 16:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • REDCap 202: Finalising and Running a Clinical Trial

    26 June 2024

    REDCap 202: Finalising and Running a Clinical Trial https://dresa.org.au/events/redcap-202-finalising-and-running-a-clinical-trial-baa7b816-c1cd-47bf-94d6-b2e6dc7390e8 REDCap is a widely used platform for managing and sharing surveys and registries of clinical research data. This series of short training modules covers everything from an introductory guide to REDCap through to running complex clinical trials. The modules are all stand-alone, and attendees can pick and choose which to attend depending on prior experience and research needs. 2024-06-26 09:00:00 UTC 2024-06-26 11:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Research Essentials – Analysing your Data

    1 July 2024

    Research Essentials – Analysing your Data https://dresa.org.au/events/research-essentials-analysing-your-data-18b00606-e996-472b-889e-f5afa2cbd844 **Research Essentials - Analysing your data** This workshop presents methods and concepts that will help you create world-changing research worthy of top-tier journals. We introduce the concept of a research workflow, a series of defined steps that will assist you in thinking about your data and preparing it for statistical analysis. We introduce you to the resources available from both Sydney Informatics Hub and across the University that will support you in proceeding from hypothesis generation all the way through to publication. Data analysis concepts will be covered in detail, including: how experimental design fits into hypothesis generation and your final publication; how to manage your analysis data and Exploratory Data Analysis (EDA) – an essential and often-overlooked stage of data analysis for determining the appropriate statistical methods to apply in your research. We will show you some of the more advanced statistical analysis methods to give you and idea of what is possible. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a range of commonly available software through the university. **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!** 2024-07-01 09:30:00 UTC 2024-07-01 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Australian BioCommons Workshop:Phylogenetics - back to basics

    1 July 2024

    Australian BioCommons Workshop:Phylogenetics - back to basics https://dresa.org.au/events/australian-biocommons-workshop-phylogenetics-back-to-basics This presentation and workshop focuses on the key aspects of experimental design that researchers and students may need to apply in their research. Higher degree research students engaging in new research are especially invited to attend. During the workshop there will be the opportunity to discuss your own research question and associated experimental design. The workshop will include the following topics: - your research question - experimental validity - randomisation and bias - blinding and bias - blocking and confounding - fixed and random effects - replication, experimental units No pre-requisite knowledge of statistical methods is required. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the _**In person**_ ticket option. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2024-07-01 11:30:00 UTC 2024-07-01 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Experimental Design

    1 July 2024

    Experimental Design https://dresa.org.au/events/experimental-design-fda4e907-1e50-48c0-8c14-b3d8573b2ea1 This presentation and workshop focuses on the key aspects of experimental design that researchers and students may need to apply in their research. Higher degree research students engaging in new research are especially invited to attend. During the workshop there will be the opportunity to discuss your own research question and associated experimental design. The workshop will include the following topics: - your research question - experimental validity - randomisation and bias - blinding and bias - blocking and confounding - fixed and random effects - replication, experimental units No pre-requisite knowledge of statistical methods is required. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the _**In person**_ ticket option. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2024-07-01 11:30:00 UTC 2024-07-01 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Introduction to Survival Analysis

    1 July 2024

    Introduction to Survival Analysis https://dresa.org.au/events/introduction-to-survival-analysis-8b43d3e5-6b12-436c-b820-19b5655c5046 Survival analysis is used when you want to measure the time elapsed up to when a specified event occurs. It is commonly used in studies where subjects are followed until death occurs, hence the name. In this workshop we will introduce some key concepts pertaining to survival analysis including censoring of cases, the survival function, and the hazard ratio estimator. The Kaplan Meier survival curve will be explained through a worked example and the technique of Cox proportional hazards regression will be introduced using the same example dataset. Participants will be provided with software code in SPSS and R to reproduce the analysis presented in the workshop. **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!** 2024-07-01 14:00:00 UTC 2024-07-01 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Single-cell RNA-Seq Analysis using Galaxy

    4 July 2024

    Single-cell RNA-Seq Analysis using Galaxy https://dresa.org.au/events/single-cell-rna-seq-analysis-using-galaxy-7296170d-72ae-4d12-b670-b2ef5fea6e66 This hands-on workshop will cover the basics of single-cell RNA-Seq analysis, using the Galaxy platform. Starting from a table of gene counts we will evaluate, filter, annotate and visualise the data. We will also cover clustering, cell type identification and differential expression. The workshop will be based in Galaxy, a platform that provides a simple and user-friendly interface to bioinformatics tools. 2024-07-04 09:00:00 UTC 2024-07-04 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Introduction to Programming: R for Reproducible Scientific Analysis

    9 - 12 July 2024

    Introduction to Programming: R for Reproducible Scientific Analysis https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-15b74f6c-9c48-4474-9a35-d54a66c271a9 This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2024-07-09 09:00:00 UTC 2024-07-12 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Statistical Comparisons using SPSS

    12 July 2024

    Statistical Comparisons using SPSS https://dresa.org.au/events/statistical-comparisons-using-spss-9afce58c-c6a8-47d3-ad5a-87d5085b3fa8 This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in SPSS. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 2024-07-12 09:00:00 UTC 2024-07-12 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Working with Sensitive Data

    16 July 2024

    Working with Sensitive Data https://dresa.org.au/events/working-with-sensitive-data-067d5a1f-89f5-4866-a7a5-d2dc2154c8aa This workshop uses practical and discussion-based training to guide researchers about identifying what constitutes sensitive data, the risks of working with sensitive data, and how to appropriately manage those risks. It covers the 'Five Safes' framework and researchers' responsibilities, and introduces ways to promote data security and mitigate disclosure risks. 2024-07-16 09:00:00 UTC 2024-07-16 11:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Exploring and Predicting using Linear Regression in SPSS

    18 July 2024

    Exploring and Predicting using Linear Regression in SPSS https://dresa.org.au/events/exploring-and-predicting-using-linear-regression-in-spss-27f690d7-d6cd-4ef8-b036-10e5f2af5b17 This workshop is designed to increase participants understanding of statistical relationships between data. It introduces principles and methods of regression models using SPSS, and how to interpret relationships between variables. The course covers basic principles of regression methods through to interpreting the output of statistical analyses, and also includes practical sessions giving hands-on experience with regression analysis in SPSS. 2024-07-18 09:00:00 UTC 2024-07-18 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Meta-Analysis: an introduction

    22 July 2024

    Meta-Analysis: an introduction https://dresa.org.au/events/meta-analysis-an-introduction-cfaae4e7-5130-455b-8201-6a213e4b1077 **Meta Analysis - An Introduction, run by the Sydney Informatics Hub.** This workshop provides research students with a theoretical and practical introduction to meta-analysis as part of a systematic review. In this workshop we will be examining the process of performing a meta-analysis in particular focusing on key statistical concepts such as heterogeneity and Fixed and Random effects modelling. The available choices of statistical software will be discussed and participants will be shown worked examples using the **metafor** package in R. A basic knowledge of R software is desirable, but not necessary since participants are not expected to produce and run their own code during the workshop. **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 - 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!!! 2024-07-22 09:30:00 UTC 2024-07-22 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Linear Models 3

    22 July 2024

    Linear Models 3 https://dresa.org.au/events/linear-models-3-baf32e31-153c-4cca-83b1-f8ca38ddc1a5 **Linear Models 3: Advanced topics, tips and tricks** Discusses topics such as: - Reporting and Interpretation (estimated marginal means, confidence vs prediction intervals, applying and correcting for multiple comparisons, reporting variable \*Importance\*, plus other reporting and interpretation tricks) - Model Parametrisation using the Design Matrix (interpreting categorical predictor parameters, dummy coding, effects coding) - More on Mixed Models (introducing the random slope) This is the third 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 (RCT’s), 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 - 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!!!** 2024-07-22 11:30:00 UTC 2024-07-22 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Multivariate Statistical Analysis 1: Dimension Reduction

    22 July 2024

    Multivariate Statistical Analysis 1: Dimension Reduction https://dresa.org.au/events/multivariate-statistical-analysis-1-dimension-reduction-0fdb5651-0866-4d25-ace8-6f2fbe679b23 **Multivariate Statistical Analysis 1: Dimension Reduction** In multivariate statistics we simultaneously model and estimate variability in more than one variable often in order to examine the relationship between variables. This workshop examines the key aspects of moving from univariate to multivariate analysis, and the situations and scenarios where multivariate analysis is typically applied. The focus will be on practical application of concepts through examples. **Topics covered will include:** - Motivations for undertaking multivariate analysis - Statistical principles for multivariate analysis - Dimension reduction techniques including principal components analysis (PCA), factor analysis (FA), correspondence analysis (CA) and non-metric multidimensional scaling (nMDS) This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Pre-requisites** Prior experience with statistical modelling is assumed, as the basics of regression modelling will not be covered. Please consider attending Linear Models 1 and/or Linear Models 2 workshops to come up to speed beforehand. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a wide range of commonly available software. **Attendance options** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person**: Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2024-07-22 14:00:00 UTC 2024-07-22 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Working with Sensitive Data

    23 July 2024

    Working with Sensitive Data https://dresa.org.au/events/working-with-sensitive-data-9ac16bad-15bd-4f49-873a-63ea11f70d6e This workshop uses practical and discussion-based training to guide researchers about identifying what constitutes sensitive data, the risks of working with sensitive data, and how to appropriately manage those risks. It covers the 'Five Safes' framework and researchers' responsibilities, and introduces ways to promote data security and mitigate disclosure risks. 2024-07-23 09:00:00 UTC 2024-07-23 11:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Longitudinal and Mixed Model Analysis with R

    23 July 2024

    Longitudinal and Mixed Model Analysis with R https://dresa.org.au/events/longitudinal-and-mixed-model-analysis-with-r-6fff8573-11f0-4060-9128-41eafbd4f078 This workshop will develop participants’ understanding of the principles, methods, and interpretation of statistical models for longitudinal data (i.e. repeated measures over time) using R. The course will cover the principles of Linear Mixed Models from simple models to more complex ones and includes practical sessions getting hands-on experience of longitudinal analysis in R. 2024-07-23 09:00:00 UTC 2024-07-23 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Containers for Reproducible Computational Environments

    24 July 2024

    Containers for Reproducible Computational Environments https://dresa.org.au/events/containers-for-reproducible-computational-environments-c06884b4-1fc4-4893-a639-57039cfa08cd Containers are self-contained pieces of software that allow you to run applications easily across all sorts of different computing hardware – from your laptop to your institutional high-performance computing system – without the need for a complicated installation process. Containers are also an effective way of achieving a reproducible analysis pipeline, allowing researchers to ensure that the same version of an application and consistent computational environment are used each time. This short introductory course will show you how to find and use Singularity containers in a typical university HPC (high performance computing) context. The workshop does not cover the use of the Docker container platform, although you will learn how to import Docker containers into Singularity. 2024-07-24 09:00:00 UTC 2024-07-24 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Genome Annotation with Apollo

    25 July 2024

    Genome Annotation with Apollo https://dresa.org.au/events/genome-annotation-with-apollo-9f5eeed8-4bc8-41fb-af36-968182b8891b Genome annotation is crucial to defining the function of genomic sequences. Apollo is a popular tool for facilitating real-time, collaborative, curation and genome annotation editing. In this workshop we'll show you how to use Apollo to refine genome annotations using the Australian Apollo Service. 2024-07-25 09:00:00 UTC 2024-07-25 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Data Visualisation for Research Communication

    30 July 2024

    Data Visualisation for Research Communication https://dresa.org.au/events/data-visualisation-for-research-communication-e90db2e1-5a23-411c-8843-28f59691110a Research communication is much more than just writing journal papers; to maximise the impact of your work, it's vital that you make your research findings accessible and engaging to a wide audience. Data storytelling is a powerful way achieving this, by conveying your ideas in a clear and memorable way. This interactive webinar focuses on developing your data storytelling skills by introducing a range of data visualisation techniques that you can use to combine the three elements of data, visuals and narrative into a meaningful and memorable story. By using these three elements, you can weave a story about your research for an array of audiences, in a way that they will connect with and remember. 2024-07-30 13:30:00 UTC 2024-07-30 15:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] webinar open_to_all []
  • Introduction to SPSS

    2 August 2024

    Introduction to SPSS https://dresa.org.au/events/introduction-to-spss-6e4b181e-4aa0-4937-a388-764e4cca553e This workshop will provide a hands-on introduction to the widely-used SPSS statistical analysis package. Participants will learn how to import, manage and transform datasets, and how to summarise and present data. The workshop will also include a basic introduction to statistical testing using SPSS. 2024-08-02 09:00:00 UTC 2024-08-02 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Introduction to Programming: R for Reproducible Scientific Analysis

    5 - 8 August 2024

    Introduction to Programming: R for Reproducible Scientific Analysis https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-00fa38e1-6d3f-497c-88e8-85cf771dcd27 This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2024-08-05 09:00:00 UTC 2024-08-08 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Statistical Comparisons Using R

    12 - 13 August 2024

    Statistical Comparisons Using R https://dresa.org.au/events/statistical-comparisons-using-r-79154708-821b-436e-8b7f-df28502f8ca7 This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in R. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 2024-08-12 09:00:00 UTC 2024-08-13 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Research Essentials - Analysing your Data

    13 August 2024

    Research Essentials - Analysing your Data https://dresa.org.au/events/research-essentials-analysing-your-data-a1813e0b-aebc-4583-a30b-dc6dfc6b1618 **Research Essentials - Analysing your data** This workshop presents methods and concepts that will help you create world-changing research worthy of top-tier journals. We introduce the concept of a research workflow, a series of defined steps that will assist you in thinking about your data and preparing it for statistical analysis. We introduce you to the resources available from both Sydney Informatics Hub and across the University that will support you in proceeding from hypothesis generation all the way through to publication. Data analysis concepts will be covered in detail, including: how experimental design fits into hypothesis generation and your final publication; how to manage your analysis data and Exploratory Data Analysis (EDA) – an essential and often-overlooked stage of data analysis for determining the appropriate statistical methods to apply in your research. We will show you some of the more advanced statistical analysis methods to give you and idea of what is possible. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a range of commonly available software through the university. **Attendance options:** **In person @ Camden Campus:** 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!** 2024-08-13 09:30:00 UTC 2024-08-13 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Experimental Design

    13 August 2024

    Experimental Design https://dresa.org.au/events/experimental-design-fbfb45b4-55d8-4444-97a8-a17581b7f877 This presentation and workshop focuses on the key aspects of experimental design that researchers and students may need to apply in their research. Higher degree research students engaging in new research are especially invited to attend. During the workshop there will be the opportunity to discuss your own research question and associated experimental design. The workshop will include the following topics: - your research question - experimental validity - randomisation and bias - blinding and bias - blocking and confounding - fixed and random effects - replication, experimental units No pre-requisite knowledge of statistical methods is required. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person @ Camden Campus:** 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!** 2024-08-13 11:30:00 UTC 2024-08-13 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

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