Introduction to REDCap at Griffith University
This site is designed as a companion to Griffith Library’s Research Data Capture workshops. It can also be treated as a standalone, self-paced tutorial for learning to use REDCap (Research Electronic Data Capture) a secure web application for building and managing online surveys and databases.
Keywords: REDCap, survey instruments
Resource type: tutorial
Introduction to REDCap at Griffith University
https://griffithunilibrary.github.io/redcap-intro/
https://dresa.org.au/materials/introduction-to-redcap-at-griffith-university
This site is designed as a companion to Griffith Library’s Research Data Capture workshops. It can also be treated as a standalone, self-paced tutorial for learning to use REDCap (Research Electronic Data Capture) a secure web application for building and managing online surveys and databases.
y.banens@griffith.edu.au
Yuri Banens
REDCap, survey instruments
mbr
phd
ecr
researcher
support
Introduction to text mining and analysis
In this self-paced workshop you will learn steps to:
- Build data sets: find where and how to gather textual data for your corpus or data set.
- Prepare data for analysis: explore useful processes and tools to prepare and clean textual data for analysis
- Analyse data: identify different...
Keywords: textual training materials
Resource type: tutorial
Introduction to text mining and analysis
https://griffithunilibrary.github.io/intro-text-mining-analysis/
https://dresa.org.au/materials/introduction-to-text-mining-and-analysis
In this self-paced workshop you will learn steps to:
- Build data sets: find where and how to gather textual data for your corpus or data set.
- Prepare data for analysis: explore useful processes and tools to prepare and clean textual data for analysis
- Analyse data: identify different types of analysis used to interrogate content and uncover new insights
s.stapleton@griffith.edu.au; y.banens@griffith.edu.au;
Yuri Banens
Sharron Stapleton
Ben McRae
textual training materials
mbr
phd
ecr
researcher
support
Advanced Data Wrangling with OpenRefine
This online self-paced workshop teaches advanced data wrangling skills including combining datasets, geolocating data, and “what if” exploration using OpenRefine.
Keywords: data skills, data
Resource type: tutorial
Advanced Data Wrangling with OpenRefine
https://griffithunilibrary.github.io/advanced-data-wrangle-2/
https://dresa.org.au/materials/advanced-data-wrangling-with-openrefine
This online self-paced workshop teaches advanced data wrangling skills including combining datasets, geolocating data, and “what if” exploration using OpenRefine.
s.stapleton@griffith.edu.au
Sharron Stapleton
data skills, data
mbr
phd
ecr
researcher
support
professional
Introduction to Data Cleaning with OpenRefine
Learn basic data cleaning techniques in this self-paced online workshop using open data from data.qld.gov.au and open source tool OpenRefine openrefine.org. Learn techniques to prepare messy tabular data for comupational analysis. Of most relevance to HASS disciplines, working with textual data...
Keywords: data skills, Data analysis
Resource type: tutorial
Introduction to Data Cleaning with OpenRefine
https://griffithunilibrary.github.io/data-cleaning-intro/
https://dresa.org.au/materials/introduction-to-data-cleaning-with-openrefine
Learn basic data cleaning techniques in this self-paced online workshop using open data from data.qld.gov.au and open source tool OpenRefine openrefine.org. Learn techniques to prepare messy tabular data for comupational analysis. Of most relevance to HASS disciplines, working with textual data in a structured or semi-structured format.
s.stapleton@griffith.edu.au;
Sharron Stapleton
data skills, Data analysis
mbr
phd
ecr
researcher
support
professional
Introduction to Unix
A hands-on workshop covering the basics of the Unix command line interface.
Knowledge of the Unix operating system is fundamental to the use of many popular bioinformatics command-line tools. Whether you choose to run your analyses locally or on a high-performance computing system, knowing...
Keywords: Unix, Command line, Command-line, CLI
Resource type: tutorial
Introduction to Unix
https://www.melbournebioinformatics.org.au/tutorials/tutorials/unix/unix/
https://dresa.org.au/materials/introduction-to-unix
A hands-on workshop covering the basics of the Unix command line interface.
Knowledge of the Unix operating system is fundamental to the use of many popular bioinformatics command-line tools. Whether you choose to run your analyses locally or on a high-performance computing system, knowing your way around a command-line interface is highly valuable. This workshop will introduce you to Unix concepts by way of a series of hands-on exercises.
This workshop is designed for participants with little or no command-line knowledge.
Tools: Standard Unix commands, FileZilla
Topic overview:
Section 1: Getting started
Section 2: Exploring your current directory
Section 3: Making and changing directories
Section 4: Viewing and manipulating files
Section 5: Removing files and directories
Section 6: Searching files
Section 7: Putting it all together
Section 8: Transferring files
Tutorial instructions available here: https://www.melbournebioinformatics.org.au/tutorials/tutorials/unix/unix/
For queries relating to this workshop, contact Melbourne Bioinformatics (bioinformatics-training@unimelb.edu.au).
Find out when we are next running this training as an in-person workshop, by visiting the Melbourne Bioinformaitcs Eventbrite page: https://www.eventbrite.com.au/o/melbourne-bioinformatics-13058846490
For queries relating to this workshop, contact Melbourne Bioinformatics (bioinformatics-training@unimelb.edu.au).
Morgan, Steven (orcid: 0000-0001-6038-6126)
Unix, Command line, Command-line, CLI
ugrad
masters
mbr
phd
ecr
researcher
support
professional
Managing Active Research Data
In this train-the-trainer workshop, we will be exploring and discussing methods for active data management.
Participants will become familiar with cloud storage and associated tools and services for managing active research data. Learn how to organise, maintain, store and analyse active data,...
Keywords: RDM Training, CloudStor, cloud
Resource type: lesson
Managing Active Research Data
https://doi.org/10.5281/zenodo.7259746
https://dresa.org.au/materials/managing-active-research-data
In this train-the-trainer workshop, we will be exploring and discussing methods for active data management.
Participants will become familiar with cloud storage and associated tools and services for managing active research data. Learn how to organise, maintain, store and analyse active data, and understand safe and secure ways of sharing and storing data.
Topics such as cloud storage, collaborative editing, versioning and data sharing will be discussed and demonstrated.
Sara King
Sara King
Brian Ballsun-Stanton
RDM Training, CloudStor, cloud
phd
support
masters
ecr
researcher
VOSON Lab Code Blog
The VOSON Lab Code Blog is a space to share methods, tips, examples and code. Blog posts provide techniques to construct and analyse networks from various API and other online data sources, using the VOSON open-source software and other R based packages.
Keywords: visualisation, Data analysis, data collections, R software, Social network analysis, social media data, Computational Social Science, quantitative, Text Analytics
Resource type: tutorial, other
VOSON Lab Code Blog
https://vosonlab.github.io/
https://dresa.org.au/materials/voson-lab-code-blog
The VOSON Lab Code Blog is a space to share methods, tips, examples and code. Blog posts provide techniques to construct and analyse networks from various API and other online data sources, using the VOSON open-source software and other R based packages.
robert.ackland@anu.edu.au
visualisation, Data analysis, data collections, R software, Social network analysis, social media data, Computational Social Science, quantitative, Text Analytics
researcher
support
phd
masters
Programming and tidy data analysis in R
A workshop to expand the skill-set of someone who has basic familiarity with R. Covers programming constructs such as functions and for-loops, and working with data frames using the dplyr and tidyr packages. Explains the importance of a "tidy" data representation, and goes through common steps...
Keywords: R, Tidyverse, Programming
Resource type: tutorial
Programming and tidy data analysis in R
https://monashdatafluency.github.io/r-progtidy/
https://dresa.org.au/materials/programming-and-tidy-data-analysis-in-r
A workshop to expand the skill-set of someone who has basic familiarity with R. Covers programming constructs such as functions and for-loops, and working with data frames using the dplyr and tidyr packages. Explains the importance of a "tidy" data representation, and goes through common steps needed to load data and convert it into a tidy form.
To be taught as a hands on workshop, typically as two half-days.
Developed by the Monash Bioinformatics Platform and taught as part of the Data Fluency program at Monash University. License is CC-BY-4. You are free to share and adapt the material so long as attribution is given.
Paul Harrison paul.harrison@monash.edu
Paul Harrison
Richard Beare
R, Tidyverse, Programming
phd
ecr
researcher
Linear models in R
A workshop on linear models in R. Learning to use linear models provides a foundation for modelling, estimation, prediction, and statistical testing in R. Many commonly used statistical tests can be performed using linear models. Ideas introduced using linear models are applicable to many of the...
Keywords: R statistics
Resource type: tutorial
Linear models in R
https://monashdatafluency.github.io/r-linear/
https://dresa.org.au/materials/linear-models-in-r
A workshop on linear models in R. Learning to use linear models provides a foundation for modelling, estimation, prediction, and statistical testing in R. Many commonly used statistical tests can be performed using linear models. Ideas introduced using linear models are applicable to many of the more complicated statistical and machine learning models available in R.
To be taught as a hands on workshop, typically as two half-days.
Developed by the Monash Bioinformatics Platform and taught as part of the Data Fluency program at Monash University. License is CC-BY-4. You are free to share and adapt the material so long as attribution is given.
Paul Harrison paul.harrison@monash.edu
Paul Harrison
R statistics
phd
ecr
researcher
Introduction to R
An introduction to R, for people with zero coding experience.
To be taught as a hands on workshop, typically as two half-days.
Developed by the Monash Bioinformatics Platform and taught as part of the Data Fluency program at Monash University. License is CC-BY-4. You are free to share and...
Keywords: R
Resource type: tutorial
Introduction to R
https://monashdatafluency.github.io/r-intro-2/
https://dresa.org.au/materials/introduction-to-r
An introduction to R, for people with zero coding experience.
To be taught as a hands on workshop, typically as two half-days.
Developed by the Monash Bioinformatics Platform and taught as part of the Data Fluency program at Monash University. License is CC-BY-4. You are free to share and adapt the material so long as attribution is given.
Paul Harrison paul.harrison@monash.edu
Paul Harrison
R
phd
ecr
researcher
Heurist Tutorials
A set of video tutorials with accompanying walkthroughs for building your first Heurist database and website. The first three tutorials show you how to get started in Heurist. The five subsequent tutorials introduce you to the five main menus in the Heurist interface.
Keywords: Heurist, Data management, Data visualisation, Digital Humanities, Databasing, website
Resource type: tutorial
Heurist Tutorials
https://heuristnetwork.org/tutorials
https://dresa.org.au/materials/heurist-tutorials
A set of video tutorials with accompanying walkthroughs for building your first Heurist database and website. The first three tutorials show you how to get started in Heurist. The five subsequent tutorials introduce you to the five main menus in the Heurist interface.
michael.falk@sydney.edu.au
Falk, Michael
Johnson, Ian
Osmakov, Artem
Heurist, Data management, Data visualisation, Digital Humanities, Databasing, website
mbr
phd
ecr
researcher
support
The Living Book of Digital Skills
The Living Book of Digital Skills (You never knew you needed until now) is a living, open source online guide to 'modern not-quite-technical computer skills' for researchers and the broader academic community.
A collaboration between Australia's Academic Research Network (AARNet) and the...
Keywords: digital skills, digital dexterity, community, open source
Resource type: guide
The Living Book of Digital Skills
https://aarnet.gitbook.io/digital-skills-gitbook-1/
https://dresa.org.au/materials/the-living-book-of-digital-skills
*The Living Book of Digital Skills (You never knew you needed until now)* is a living, open source online guide to 'modern not-quite-technical computer skills' for researchers and the broader academic community.
A collaboration between Australia's Academic Research Network (AARNet) and the Council of Australian Librarians (CAUL), this book is the creation of the CAUL Digital Dexterity Champions and their communities.
**Contributing to the Digital Skills GitBook**
The Digital Skills GitBook is an open source project and like many projects on GitHub we welcome your contributions.
If you have knowledge or expertise on one of our [requested topics](https://aarnet.gitbook.io/digital-skills-gitbook-1/requested-articles), we would love you to write an article for the book. Please let us know what you'd like to write about via our [contributor form](https://github.com/AARNet/Digital-Skills-GitBook/issues/new?assignees=sarasrking&labels=contributors&template=contributor-form.yml&title=Contributor+form%3A+).
There are other ways to contribute too. For example, you might:
* have a great idea for a new topic to be included in one of our chapters (make a new page)
* notice some information that’s out-of-date or that could be explained better (edit a page)
* come across something in the GitBook that’s not working as it should be (submit an issue)
Sara King - sara.king@aarnet.edu.au
Sara King
Miah de Francesch
Emma Chapman
Katie Mills
Ruth Cameron
digital skills, digital dexterity, community, open source
ugrad
masters
mbr
phd
ecr
researcher
support
10 Reproducible Research things - Building Business Continuity
The idea that you can duplicate an experiment and get the same conclusion is the basis for all scientific discoveries. Reproducible research is data analysis that starts with the raw data and offers a transparent workflow to arrive at the same results and conclusions. However not all studies are...
Keywords: reproducibility, data management
Resource type: tutorial, video
10 Reproducible Research things - Building Business Continuity
https://guereslib.github.io/ten-reproducible-research-things/
https://dresa.org.au/materials/9-reproducible-research-things-building-business-continuity
The idea that you can duplicate an experiment and get the same conclusion is the basis for all scientific discoveries. Reproducible research is data analysis that starts with the raw data and offers a transparent workflow to arrive at the same results and conclusions. However not all studies are replicable due to lack of information on the process. Therefore, reproducibility in research is extremely important.
Researchers genuinely want to make their research more reproducible, but sometimes don’t know where to start and often don’t have the available time to investigate or establish methods on how reproducible research can speed up every day work. We aim for the philosophy “Be better than you were yesterday”. Reproducibility is a process, and we highlight there is no expectation to go from beginner to expert in a single workshop. Instead, we offer some steps you can take towards the reproducibility path following our Steps to Reproducible Research self paced program.
Video:
https://www.youtube.com/watch?v=bANTr9RvnGg
Tutorial:
https://guereslib.github.io/ten-reproducible-research-things/
a.miotto@griffith.edu.au; s.stapleton@griffith.edu.au; i.jennings@griffith.edu.au;
Amanda Miotto
Julie Toohey
Sharron Stapleton
Isaac Jennings
reproducibility, data management
masters
phd
ecr
researcher
support
Data Storytelling
Nowadays, more information created than our audience could possibly analyse on their own! A study by Stanford professor Chip Heath found that during the recall of speeches, 63% of people remember stories and how they made them feel, but only 5% remember a single statistic. So, you should convert...
Keywords: data storytelling, data visualisation
Data Storytelling
https://griffithunilibrary.github.io/data-storytelling/
https://dresa.org.au/materials/data-storytelling
Nowadays, more information created than our audience could possibly analyse on their own! A study by Stanford professor Chip Heath found that during the recall of speeches, 63% of people remember stories and how they made them feel, but only 5% remember a single statistic. So, you should convert your insights and discovery from data into stories to share with non-experts with a language they understand. But how?
This tutorial helps you construct stories that incite an emotional response and create meaning and understanding for the audience by applying data storytelling techniques.
m.yamaguchi@griffith.edu.au
a.miotto@griffith.edu.au
Masami Yamaguchi
Amanda Miotto
Brett Parker
data storytelling, data visualisation
support
masters
phd
researcher
Use the Trove Newspaper & Gazette Harvester (web app version)
This video shows how you can use the web app version of the Trove Newspaper & Gazette Harvester to download large quantities of digitised newspaper articles from Trove. Just give it a search from the Trove web interface, and the harvester will...
Keywords: Trove, newspapers, GLAM Workbench, HASS
Resource type: video
Use the Trove Newspaper & Gazette Harvester (web app version)
https://youtu.be/WKFuJR6lLF4
https://dresa.org.au/materials/use-the-trove-newspaper-gazette-harvester-web-app-version-to-download-large-quantities-of-digitised-articles
This video shows how you can use the web app version of the [Trove Newspaper & Gazette Harvester](https://glam-workbench.net/trove-harvester/) to download large quantities of digitised newspaper articles from Trove. Just give it a search from the Trove web interface, and the harvester will save the metadata of all the articles from the search results in a CSV (spreadsheet) file for further analysis. You can also save the full text of every article, as well as copies of the articles as JPG images, and even PDFs.
The GLAM Workbench is a collection of tools, examples, tutorials, and apps that help you make use of collection data from GLAM organisations (Galleries, Libraries, Archives, and Museums). See: [https://glam-workbench.net/](https://glam-workbench.net/)
Tim Sherratt (tim@timsherratt.org and @wragge on Twitter)
Trove, newspapers, GLAM Workbench, HASS
ugrad
masters
phd
ecr
researcher
support
Use QueryPic to visualise searches in Trove's digitised newspapers (part 2)
This video shows how you can construct and visualise more complex searches for digitised newspaper articles in Trove using QueryPic (see part 1 for the basics). This includes limiting the date range of your query, and changing the time...
Keywords: Trove, GLAM Workbench, visualisation, newspapers, HASS
Resource type: video
Use QueryPic to visualise searches in Trove's digitised newspapers (part 2)
https://youtu.be/J_LgNL2EM4M
https://dresa.org.au/materials/use-querypic-to-visualise-searches-in-trove-s-digitised-newspapers-part-2
This video shows how you can construct and visualise more complex searches for digitised newspaper articles in Trove using [QueryPic](https://glam-workbench.net/trove-newspapers/#querypic) (see part 1 for the basics). This includes limiting the date range of your query, and changing the time scale to zoom in and out of your search results.
The GLAM Workbench is a collection of tools, examples, tutorials, and apps that help you make use of collection data from GLAM organisations (Galleries, Libraries, Archives, and Museums). See: https://glam-workbench.net/
Tim Sherratt (tim@timsherratt.org and @wragge on Twitter)
Trove, GLAM Workbench, visualisation, newspapers, HASS
ugrad
masters
phd
ecr
researcher
Use QueryPic to visualise searches in Trove's digitised newspapers (part 1)
This video demonstrates how to use the GLAM Workbench to visualise searches for digitised newspaper articles in Trove. Using the latest version of QueryPic, we can explore the complete result set, showing how the number of matching articles...
Keywords: Trove, GLAM Workbench, visualisation, newspapers, HASS
Resource type: video
Use QueryPic to visualise searches in Trove's digitised newspapers (part 1)
https://youtu.be/vdyKNowv9gw
https://dresa.org.au/materials/use-querypic-to-visualise-searches-in-trove-s-digitised-newspapers-part-1
This video demonstrates how to use the GLAM Workbench to visualise searches for digitised newspaper articles in Trove. Using the latest version of [QueryPic](https://glam-workbench.net/trove-newspapers/#querypic), we can explore the complete result set, showing how the number of matching articles changes over time. We can even compare queries to visualise changes in language or technology. It's a great way to start exploring the possibilities of GLAM data.
The GLAM Workbench is a collection of tools, examples, tutorials, and apps that help you make use of collection data from GLAM organisations (Galleries, Libraries, Archives, and Museums). See: https://glam-workbench.net/
Tim Sherratt (tim@timsherratt.org & @wragge on Twitter)
Trove, GLAM Workbench, visualisation, newspapers, HASS
ugrad
masters
ecr
researcher
Research Data Governance
This video contains key information for those who make research data-related decisions. It will help project leaders to start investigating ways to develop their own data governance policy, roles and responsibilities and procedures with the input of appropriate stakeholders.
**Cite...
Keywords: data governance, research data
Resource type: video
Research Data Governance
https://youtu.be/K_xVQRdgCIc
https://dresa.org.au/materials/research-data-governance
This video contains key information for those who make research data-related decisions. It will help project leaders to start investigating ways to develop their own data governance policy, roles and responsibilities and procedures with the input of appropriate stakeholders.
**Cite as**
Australian Research Data Commons. (2021, June 30). Research Data Governance. Zenodo. https://doi.org/10.5281/zenodo.5044585
ARDC contact: https://ardc.edu.au/contact-us
Australian Research Data Commons
Max Wilkinson
Shannon Callaghan
Jo Savill
Kristan Kang
Kerry Levett
Keith Russell
Natasha Simons
data governance, research data
ecr
researcher
support
How can Software Containers help your Research?
This video explains software containers to a research audience. It is an introduction to why containers are beneficial for research. These benefits are standardisation, portability, reliability and reproducibility.
Software Containers in research are a solution that addresses the challenge of...
Keywords: Containers, software containers, reproducibility, replicable computational environment, software, research, reusable, cloud, standardisation
Resource type: video
How can Software Containers help your Research?
https://www.youtube.com/watch?v=HelrQnm3v4g
https://dresa.org.au/materials/how-can-software-containers-help-your-research
This video explains software containers to a research audience. It is an introduction to why containers are beneficial for research. These benefits are standardisation, portability, reliability and reproducibility.
Software Containers in research are a solution that addresses the challenge of a replicable computational environment and supports reproducibility of research results. Understanding the concept of software containers enables researchers to better communicate their research needs with their colleagues and other researchers using and developing containers.
**Cite as**
Australian Research Data Commons. (2021, July 26). How can software containers help your research?. Zenodo. https://doi.org/10.5281/zenodo.5091260
Contact us: https://ardc.edu.au/contact-us/
Australian Research Data Commons
Containers, software containers, reproducibility, replicable computational environment, software, research, reusable, cloud, standardisation
phd
ecr
researcher
support
ARDC FAIR Data 101 self-guided
FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles
The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course.
Keywords: training material, FAIR data, research data, data management, FAIR
Resource type: presentation, quiz, activity
ARDC FAIR Data 101 self-guided
https://zenodo.org/record/5094034#.YQyLbY4zaUk
https://dresa.org.au/materials/ardc-fair-data-101-self-guided
FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles
The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course.
ARDC Contact us: https://ardc.edu.au/contact-us/
Liz Stokes
Matthias Liffers
Nichola Burton
Paula A. Martinez
Natasha Simons
Keith Russell
Siobhann McCafferty
Richard Ferrers
Steve McEachern
Melanie Barlow
Tom Honeyman
Maria del Mar Quiroga
training material, FAIR data, research data, data management, FAIR
phd
ecr
researcher
support
Software publishing, licensing, and citation
A short presentation for reuse includes speaker notes.
Making software citable using a code repository, an ORCID and a licence.
Cite as
Liffers, Matthias. (2021, July 12). Software publishing, licensing, and citation. Zenodo. https://doi.org/10.5281/zenodo.5091717
Keywords: software citation, software publishing, software registry, software repository, research software
Resource type: presentation
Software publishing, licensing, and citation
https://zenodo.org/record/5091717#.YQyPtY4zaUk
https://dresa.org.au/materials/software-publishing-licensing-and-citation
A short presentation for reuse includes speaker notes.
Making software citable using a code repository, an ORCID and a licence.
**Cite as**
Liffers, Matthias. (2021, July 12). Software publishing, licensing, and citation. Zenodo. https://doi.org/10.5281/zenodo.5091717
ARDC Contact us: https://ardc.edu.au/contact-us/
Matthias Liffers
software citation, software publishing, software registry, software repository, research software
phd
ecr
researcher
support
ARDC Guide to making Software Citable
A short guide to making software citable using a code repository, an ORCID and a licence.
Cite as
Liffers, Matthias, & Honeyman, Tom. (2021). ARDC Guide to making software citable. Zenodo. https://doi.org/10.5281/zenodo.5003989
Keywords: software citation, software publishing, software registry, software repository, research software
Resource type: guide
ARDC Guide to making Software Citable
https://zenodo.org/record/5003989#.YQyRI44zaUk
https://dresa.org.au/materials/ardc-guide-to-making-software-citable
A short guide to making software citable using a code repository, an ORCID and a licence.
**Cite as**
Liffers, Matthias, & Honeyman, Tom. (2021). ARDC Guide to making software citable. Zenodo. https://doi.org/10.5281/zenodo.5003989
ARDC Contact us: https://ardc.edu.au/contact-us/
Matthias Liffers
Tom Honeyman
software citation, software publishing, software registry, software repository, research software
phd
ecr
researcher
support
ARDC Research Data Rights Management Guide
A practical guide for people and organisations working with data, about rights information and licences, and to raise awareness of the implications of not having licences on data.
Who is this for? This guide is primarily directed toward members of the research sector, particularly data rights...
Keywords: research data
Resource type: guide
ARDC Research Data Rights Management Guide
https://zenodo.org/record/5091580#.YS26Co4zaUk
https://dresa.org.au/materials/ardc-research-data-rights-management-guide
A practical guide for people and organisations working with data, about rights information and licences, and to raise awareness of the implications of not having licences on data.
Who is this for? This guide is primarily directed toward members of the research sector, particularly data rights holders users and suppliers. Some general reference is made to characteristics and management of government data, acknowledging that this kind of data can be input to the research process. Government readers should consult their agency’s data management policies, in addition to reading this guide.
**Cite as**
Australian Research Data Commons. (2019). ARDC Research Data Rights Management Guide. Zenodo. https://doi.org/10.5281/zenodo.5091580
ARDC Contact us: contact@ardc.edu.au
Greg Laughlin
Baden Appleyard
research data
mbr
phd
ecr
researcher
support
professional