Welcome to the Australian Research Data Commons’ FAIR data self assessment tool. This tool will help assess the ‘FAIRness’ of a dataset and determine how to enhance its FAIRness (where applicable).
What are the FAIR principles?
The ‘FAIR Guiding Principles for scientific data management and stewardship’ were published in 2016. The authors intended to provide guidelines to improve the Findability, Accessibility, Interoperability, and Reuse (FAIR) of digital assets. FAIR provides a useful framework for thinking about sharing data in a way that will enable maximum use and reuse. Read more about FAIR data.
How does the FAIR data self assessment tool work?
In the tool below, you will answer questions related to the principles underpinning Findable, Accessible, Interoperable and Reusable (FAIR).
Once you have answered all the questions in each section, you will be given a ‘green bar’ indicator based on your answers in that section, and when all sections are completed, an overall ‘FAIRness’ indicator is provided.
Who can use the FAIR data self assessment tool?
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.
Where can I find more information?
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.
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.
For any questions on the use of this tool please contact us.
The code for this tool is available for reuse on Github.