Indicators for FAIRness | Guidelines & Checklist

[bahimc]

No description provided.

[kgrussell]

Some guidelines that are provided with the ANDS-Nectar-RDS (now ARDC) FAIR self assessment tool:
https://ardc.edu.au/resources/working-with-data/fair-data/fair-self-assessment-tool/

Using this tool you will be able to assess the ‘FAIRness’ of a dataset and determine how to enhance its FAIRness (where applicable).
This self-assessment tool has been designed predominantly for data librarians and IT staff, but could be used by software engineers developing FAIR data tools and services, and researchers provided they have assistance from research support staff.
Additional explanatory information is provided within the tool. The information button (i) provides an overview of each of the FAIR high-level elements. Also, each question is hyperlinked to explanatory information and links to wider resources on related topics.
Tool Disclaimer:
The ARDC FAIR data self assessment tool has been developed by the ARDC. It is provided purely for educational and informational purposes. It is based on our interpretation of the FAIR Data Principles with the acknowledgement that there are other interpretations of the principles. Other tools like the CSIRO 5 star data rating tool and the DANS FAIRdat tool provided valuable inspiration in developing this tool.
The scores arising from this tool are intended for self assessment purposes only and to trigger thinking and discussion around possible ways of making data more FAIR.