ANDS, Nectar and RDS are keen to understand how well the FAIR data principles are known and supported across the research community.
A short survey has been set up to find out your thoughts about FAIR and how we can best promote its principles. It is aimed at people with all levels of awareness about FAIR data, from experts to absolute beginners.
Everybody who fills in the survey (with a valid email address) before 17 November 2017 will be in the draw for one of five $50 book tokens. See the Terms and Conditions (PDF, 0.07 MB)
What is FAIR data?
The FAIR data principles (Findable, Accessible, Interoperable, Reusable) were drafted by the FORCE11 group in 2015. The principles have since received worldwide recognition as a useful framework for thinking about sharing data in a way that will enable maximum use and reuse.
The principles are useful because they:
- support knowledge discovery and innovation
- support data and knowledge integration
- promote sharing and reuse of data
- are discipline independent and allow for differences in disciplines
- move beyond high level guidance, containing detailed advice on activities that can be undertaken to make data more FAIR
- help data and metadata to be ‘machine readable’, supporting new discoveries through the harvest and analysis of multiple datasets.
Why make your data FAIR?
Making research data more FAIR will provide a range of benefits to researchers, research communities, research infrastructure facilities and research organisations alike, including:
- gaining maximum potential from data assets
- increasing the visibility and citations of research
- improving the reproducibility and reliability of research
- staying aligned with international standards and approaches
- attracting new partnerships with researchers, business, policy and broader communities
- enabling new research questions to be answered
- using new innovative research approaches and tools
- achieving maximum impact from research.
How to make your data FAIR
Translating the FAIR principles in practice will be different for different disciplines, however the below guidelines set out the broad principles:
FAIR webinar series
ANDS held a FAIR data webinar series throughout August and September 2017, covering each of the four principles in turn. It included practical case studies from a range of disciplines, Australian and international perspectives, and resources to support the uptake of FAIR principles.
- #1 Findable: 30 Aug 2017
- #2 Accessible: 6 Sep 2017
- #3 Interoperable: 13 Sep 2017
- #4 Reusable: 20 Sep 2017
The slides and recordings from all events are now online to catch up or view again.
FAIR data at eResearch Australasia 2017
ANDS, Nectar and RDS teamed up to promote the FAIR data principles at the eResearch Australasia conference in Brisbane which took place 16-20 October 2017.
The joint booth included FAIRground games and information, including tips on how to make your data more FAIR. It included handing out a 'Your ticket to FAIR data' leaflet to delegates, as well as asking people to fill in the FAIR data survey.
A number of sessions at the conference also touched on the FAIR principles and their importance.
- The original FAIR principles from FORCE11
- Nature article launching the FAIR concept (March 2016)
- Revisiting the FAIR principles for the European Open Science Cloud (March 2017)
- Explanation of the FAIR Data principles by the Dutch Centre for Life Sciences
- Cloudy, increasingly FAIR; revisiting the FAIR Data guiding principles for the European Open Science Cloud