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Training

Attend a programmed event, request a customised session or find an online resource

Tailored research data management sessions

To organise individual or group training sessions for any aspect of research data management, please contact the team on researchdatasupport@sydney.edu.au

Upcoming training sessions

Training sessions and dates for the first half of 2017 are now available:

Research data management 101
  • This non-faculty specific presentation will provide you with all the info you need to know to get a start on managing your research data. This session is perfect for people who are new to research data management, or need a quick refresher. Come along to meet our team, ask us millions of questions and get ready to tackle research data management! If you can’t attend in person, an online version of this session is also available here.

    Objectives:

    • Understand what research data management is
    • Recognise why research data management is necessary
    • Understand best practices for research data management
    • Knowledge of the research data management tools available at the University

    Format: Presentation

    Target audience: HDR students, academic staff, affiliates, professional staff supporting or undertaking research

    Prerequisites:


    Upcoming sessions:

    • 15/06/2017
      Time
      1-2pm
      Location
      Seminar room, Fisher Library
      Sign up
    • 25/08/2017
      Time
      12-1pm
      Location
      Webinar
      Sign up
    • 19/09/2017
      Time
      12-1pm
      Location
      Seminar room, Fisher Library
      Sign up

Research Data Management Plan drop-in

  • Need to create a Research Data Management Plan and not sure where to start? Drop by the Fisher Library and talk to our research data management specialists who will be there to answer any questions that you have about research data management and help you formulate your Research Data Management Plan. Please bring your own device.


    Format: Drop in session

    Target audience: Researchers and HDR students who want to create a Research Data Management Plan

    Prerequisites: None


    Upcoming sessions:

    • 29/08/2017
      Time
      1-3pm
      Location
      Digital Scholarship Studio, Level 5, Fisher Library
      Sign up
      Just drop in on the day

Managing your spreadsheets: research data management best practice

  • Spreadsheets are frequently used to manage research data but they aren’t always set up for most effective use…. Until now. Come along to this session to find out how to set up your spreadsheets properly so they can be used with analysis software, the documentation you should keep for your spreadsheets and how to ensure that your spreadsheet remains accessible so you can share it and re-use it in the future. Together, we can change the way we set up spreadsheets.

    Objectives:

    • Ensure that your spreadsheets are accessible
    • Understand how to document your spreadsheets for re use and replication
    • Understand how to best set up your spreadsheet to ensure data integrity

    Format: Presentation

    Target audience: Researchers and HDR students who are or will be using spreadsheet to collect, collate and manage their research data

    Prerequisites: None

    *From July 2017 this session will be incorporated into the Getting ready for data analysis sessions*


    Upcoming sessions:

    • 31/05/2017
      Time
      2-3pm
      Location
      Seminar room, Fisher Library
      Sign up

Getting ready for data analysis: research data management best practice

  • Analysis software can be a powerful a tool for open research. But the verifiability of your analysis is only as good as your data management practices. Come along to this session to find out how to set up and document your data files so that your analysis is fully replicable, your research findings can be verified by others, and your data can be easily shared and re used.

    Objectives:

    • Understand how best to organise your data files within a folder structure
    • Understand what aspects of your data to document and how to do so
    • Ensure your data is optimised for re use and replication

    Format: Presentation

    Target audience: Researchers and HDR students who are or will be using analysis software such as MATLAB, R, SAS, SPSS, or other scripting languages

    Prerequisites: None

    *From July 2017 this session will be separated into two sessions, one for quantitative data and one for qualitative data*


    Upcoming sessions:

    • 22/06/2017
      Time
      10-11am
      Location
      Webinar
      Sign up

Getting ready for data analysis: quantitative data

  • Do you work with quantitative tabular data such as counts, measurements, or other numerical values? Come along to this session to find out how to structure and format your data tables using spreadsheets, how to organise your data files into a folder structure for analysis, and how to document your data so that it can be understood and reused.

    Objectives:

    • Understand how to structure and format your quantitative data
    • Understand how to organise your quantitative data files within a folder structure
    • Understand how to document your quantitative data
    • Ensure your quantitative data is optimised for re-use and replication

    Format: Presentation

    Target audience: Researchers and HDR students who are or will be working with quantitative data using spreadsheet software such as Microsoft Excel or analysis software such as MATLAB, R, SAS, SPSS, or similar.

    Prerequisites: None


    Upcoming sessions:

    • 17/07/2017
      Time
      10-11am
      Location
      Seminar room, Fisher Library
      Sign up
    • 6/09/2017
      Time
      1-2pm
      Location
      Webinar
      Sign up

Getting ready for data analysis: qualitative data

  • Do you work with qualitative data such as interview recordings and transcripts, written survey responses, or other text, image, audio and video files? Come along to this session to find out how to structure and format your data files for use with Computer Assisted Qualitative Data AnalysiS (CAQDAS) software, how to organise your data files into a folder structure for analysis, and how to document your data so that it can be understood and reused.

    Objectives:

    • Understand how to structure and format your qualitative data
    • Understand how to organise your qualitative data files within a folder structure
    • Understand how to document your qualitative data
    • Ensure your qualitative data is optimised for re-use and replication

    Format: Presentation

    Target audience: Researchers and HDR students who are or will be working with qualitative data using software such as Microsoft Word and Excel, as well as PDF, image, audio, and video files, or analysis software such as NVivo, ATLAS.ti, MAXQDA, or similar.


    Upcoming sessions:

    • 4/08/2017
      Time
      11-12pm
      Location
      Seminar room, Fisher Library
      Sign up
    • 28/09/2017
      Time
      2-3pm
      Location
      Seminar room, Fisher Library
      Sign up

Getting started with data visualisation

  • Have you ever looked at a figure in a journal article and thought "What on earth does that even mean?"... We certainly have! This session on data visualisation will get back to basics and give you some best practice advice so that you can create visualisations with your research data that communicate your point and are easily understood by everyone.

    Objectives:

    • Know the principles of data visualisation
    • Understand different purposes of and audiences for data visualisations
    • Recognise the relationship between visualisation type and underlying data type or structure
    • Understand the strengths and limitations of different media for visualising data
    • Gain knowledge of the tools and resources available to support visualisation activities

    Format: Presentation

    Target audience: Researchers and HDR students who need to visualise data for analysis or presentation purposes

    Prerequisites: None


    Upcoming sessions:

    • 11/07/2017
      Time
      11-12pm
      Location
      Webinar
      Sign up
    • 26/07/2017
      Time
      11-12pm
      Location
      Seminar room, Fisher Library
      Sign up
    • 23/08/2017
      Time
      12.30-1.30pm
      Location
      Seminar room, Fisher Library
      Sign up

Publishing your data for success

  • Publishing data is a way to share and promote your research. Come along to find out the steps you should take to publish your data so that others can access it, re-use it and cite it!

    Objectives:

    • Understand what information to include when publishing a dataset
    • Understand how to publish a dataset so that it is accessible
    • Recognise the different licences that can be applied to a dataset
    • Know how to find a relevant repository to publish in

    Format: Workshop

    Target audience: Researchers and HDR students that are interested in publishing their research data

    Prerequisites:

    • Prior attendance at Research data management 101 (recommended)

    Upcoming sessions:

    • 20/06/2017
      Time
      12.30-2pm
      Location
      Training room 213, Fisher Library
      Sign up
    • 13/09/2017
      Time
      11-12.30pm
      Location
      Training room 213, Fisher Library
      Sign up

External training sessions

External organisations, such as Intersect, run regular training sessions throughout the year that are free for researchers and PhD students from the University of Sydney. View upcoming sessions here.

 

Online training

  • Description
    This is an online version of the research data management overview that is also offered in person by the Research Data team at the University of Sydney.
  • Description
    Self-directed learning for anybody who wants to know more about research data.
  • Description
    A free, online non-assessed course with guidelines to help you understand and reflect on how to manage the digital data you collect throughout your research.