Sharing Approaches to Implementing the Data Guide at Medical Research Institutes (MRIs) Workshop
Co-authored by the Australian Research Council (ARC), the National Health and Medical Research Council (NHMRC) and Universities Australia (UA), the Management of Data and Information in Research Guide contains guidance for institutions and researchers on how they can implement the new Code as it...
Keywords: Data management, ARC, NHMRC, research data, Research Data Guide, Funding, training material
Sharing Approaches to Implementing the Data Guide at Medical Research Institutes (MRIs) Workshop
https://zenodo.org/record/4291067
https://dresa.org.au/materials/sharing-approaches-to-implementing-the-data-guide-at-medical-research-institutes-mris-workshop
Co-authored by the Australian Research Council (ARC), the National Health and Medical Research Council (NHMRC) and Universities Australia (UA), the Management of Data and Information in Research Guide contains guidance for institutions and researchers on how they can implement the new Code as it relates to the subject of research data.
This workshop included presentations and breakout discussions considering MRI approaches to data management practices in light of the Code and Guide.
This workshop was delivered as part of the Management of Data and Information in Research Guide Event. The aims of the Event were to enable research offices within universities and Medical Research Institutes (MRIs) to have a clear and consistent understanding of the data management requirements and responsibilities as outlined in the Code and the Data Guide.
contact@ardc.edu.au
Kang, Kristan
Radhouane, Aniba
McLaren, Tara
Data management, ARC, NHMRC, research data, Research Data Guide, Funding, training material
Why am I being asked for metadata about my research data?
Find out why metadata are important for your research data collection. This brochure shares the reasons why researchers should use metadata for their data collections.
This brochure was prepared for the ARDC Data Retention Project...
Keywords: metadata, research data, data collections, data citation, data retention project, training material
Why am I being asked for metadata about my research data?
https://zenodo.org/record/5778322
https://dresa.org.au/materials/why-am-i-being-asked-for-metadata-about-my-research-data
Find out why metadata are important for your research data collection. This brochure shares the reasons why researchers should use metadata for their data collections.
This brochure was prepared for the ARDC Data Retention Project https://ardc.edu.au/collaborations/strategic-activities/data-retention-project/.
It is for researchers at any institution in Australia.
contact@ardc.edu.au
Australian Research Data Commons
metadata, research data, data collections, data citation, data retention project, training material
Institutional Research Data Management Policies and Procedures
This is a guide for those developing or updating policies and procedures related to the management of research data as an institutional asset.
The guide covers:
- Why have a research data management policy or policies?
- Possible approaches to constructing a research data policy suite
- Examples...
Keywords: research data, research data management, institutional data policies, institutional data procedures, institutional research data management, RDM, Australia, Australian research institutions, ARDC, Australian Research Data Commons, training material
Institutional Research Data Management Policies and Procedures
https://zenodo.org/record/5784765
https://dresa.org.au/materials/institutional-research-data-management-policies-and-procedures
This is a guide for those developing or updating policies and procedures related to the management of research data as an institutional asset.
The guide covers:
- Why have a research data management policy or policies?
- Possible approaches to constructing a research data policy suite
- Examples of data management policies
- Key topics to include in a research data policy suite
- Checklist for a Research Data Management Policy for Australian Universities / Institutions
contact@ardc.edu.au
Australian Research Data Commons
research data, research data management, institutional data policies, institutional data procedures, institutional research data management, RDM, Australia, Australian research institutions, ARDC, Australian Research Data Commons, training material
Research Data Management (RDM) Online Orientation Module (Macquarie University)
This is a self-paced, guided orientation to the essential elements of Research Data Management. It is available for others to use and modify.
The course introduces the following topics: data policies, data sensitivity, data management planning, storage and security, organisation and metadata,...
Keywords: research data, data management, FAIR data, training
Resource type: quiz, activity, other
Research Data Management (RDM) Online Orientation Module (Macquarie University)
https://rise.articulate.com/share/-AWqSPaEI_jTbHwzQHdmQ43R50edrCl0
https://dresa.org.au/materials/macquarie-university-research-data-management-rdm-online
This is a self-paced, guided orientation to the essential elements of Research Data Management. It is available for others to use and modify.
The course introduces the following topics: data policies, data sensitivity, data management planning, storage and security, organisation and metadata, benefits of data sharing, licensing, repositories, and best practice including the FAIR principles.
Embedded activities and examples help extend learner experience and awareness.
The course was designed to assist research students and early career researchers in complying with policies and legislative requirements, understand safe data practices, raise awareness of the benefits of data curation and data sharing (efficiency and impact) and equip them with the required knowledge to plan their data management early in their projects.
This course is divided into four sections
1. Crawl - What is Research Data and why care for it? Policy and legislative requirements. The Research Data Life-cycle. Data Management Planning (~30 mins)
2. Walk - Data sensitivity, identifiability, storage, and security (~60 mins)
3. Run - Record keeping, data retention, file naming, folder structures, version control, metadata, data sharing, open data, licences, data repositories, data citation, and ethics (~75 mins)
4. Jump - Best practice FAIR data principles (~45 mins)
5. Fight - Review - a quiz designed to review and reinforce knowledge (~15 mins)
https://rise.articulate.com/share/-AWqSPaEI_jTbHwzQHdmQ43R50edrCl0 *
*Password: "FAIR"
*Password: "FAIR"
Any queries or suggestions for course improvement can be directed to the Macquarie University Research Integrity Team: Dr Paul Sou (paul.sou@mq.edu.au) or Dr Shannon Smith (shannon.smith@mq.edu.au). Scorm files can be made available upon request.
Macquarie University
Queensland University of Technology
Shannon Smith
Jennifer Rowland
Mark Hooper
Paul Sou
Vladimir Bubalo
Brian Ballsun-Stanton
research data, data management, FAIR data, training
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
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
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