The FAIR data principles (Findable, Interoperable, Accessible, 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.
FAIR webinar series Aug-Sep 2017
This webinar series is a great opportunity to explore each of the four FAIR principles in depth - 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 12-12.45pm AEST
- #2 Accessible: 6 Sep 12-12.45pm AEST
- #3 Interoperable: 13 Sep 12-12.45pm AEST
- #4 Reusable: 20 Sep 12-12.45pm AEST
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 research partnerships
- enabling new research questions to be answered
- using new innovative research approaches and tools
- enabling successful projects with business and public policy partners
- 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: