The document discusses resources for making data FAIR (Findable, Accessible, Interoperable, and Reusable). It summarizes a survey that showed awareness of the FAIR principles was varying but growing, and most respondents would recommend them. It then describes training materials and a self-assessment tool to help make data more FAIR. Finally, it outlines future plans to provide more guidance and tools to implement FAIR practices.
How AI, OpenAI, and ChatGPT impact business and software.
FAIR data resources guide needs
1. Need for FAIR resources
The‘AreyouFAIRaware?’surveywasconductedinOctober2017
and attracted 249 responses. It showed that at that time there
were varying levels of awareness for the FAIR data principles,
but they were considered useful and 78% would recommend
these to colleagues. The gaps most frequently mentioned in
makingdataFAIRwerestandardiseddataformats,provenance
tools, ethics and access advice.
FAIR training resources
We have brought together a collection of training materials related
to the FAIR principles broken down by principle. These support the
community wanting to train and grow the understanding around
the more detailed principles. The FAIR data infographic links to
detailed advice on each aspect of FAIR, from each of the coloured
squares. The collection is now available for sharing, expanding and
is being aligned internationally with other organisations involved in
data management training.
Self assess the FAIRness of your data
The widely popular FAIR Self assessment tool was released in May 2018 and has already been adopted by a number of organisations and projects. It is
considered a good educational vehicle to improve the FAIRness of data by highlighting the steps that can be taken to make a dataset more FAIR.
Next steps in 2018-2019
In 2018-2019, ARDC will continue the work with the FAIR principles, providing
further resources and support related to what FAIR means in practice,
emphasising topics such as provenance, ethics and access. The ARDC will also
be looking at how software, tools and infrastructure can be improved to make it
easy and seamless for researchers to make their data FAIR.
Acknowledgment
We would like to acknowledge all the work that has been done internationally and
nationally on developing the FAIR data principles and associated materials. This includes
the CSIRO 5 Star Data Rating tool and the DANS FAIRdat tool and the work in the AGU
FAIR data project. We would also like to acknowledge all the work invested by partner
and ARDC staff in developing, pulling together and presenting the resources.
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href="http://creativecommons.org/licenses/by/3.0/" title="Creative Comm
target="_blank">CC 3.0 BY</a>.
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href="http://creativecommons.org/licenses/by/4.0/">Creative Commons
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allowed and Man User icons made by <a href="http://www.freepik.com" title="Freepik">Freepik
from <a href="https://www.flaticon.com/" title="Flaticon">www.flaticon.com</a> are licensed by
href="http://creativecommons.org/licenses/by/3.0/" title="Creative Commons BY 3.0"
target="_blank">CC 3.0 BY</a>.
All other icons made by ARDC.
Entire FAIR resources graphic is licensed under a <a rel="license"
href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 Internat
License</a>.
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href="http://creativecommons.org/licenses/by/3.
target="_blank">CC 3.0 BY</a>.
All other icons made by ARDC.
Entire FAIR resources graphic is licensed under
href="http://creativecommons.org/licenses/by/4.
License</a>.
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Identifiers (PIDs)
Rich metadata Indexed data
repositories
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Open, free protocol Authentication,
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Interoperable Vocabularies Vocabularies are
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Linked metadata
Reusable Metadata have
multiple attributes
Usage license Provenance Community
standards
The Magnifying glass, Tap, Gears set, Recycle sign, Storage, Infinity, Discussion, Shield, Not
allowed and Man User icons made by <a href="http://www.freepik.com" title="Freepik">Freepik</a>
from <a href="https://www.flaticon.com/" title="Flaticon">www.flaticon.com</a> are licensed by <a
href="http://creativecommons.org/licenses/by/3.0/" title="Creative Commons BY 3.0"
target="_blank">CC 3.0 BY</a>.
All other icons made by ARDC.
Entire FAIR resources graphic is licensed under a <a rel="license"
href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International
License</a>.
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Resources for making your data
Tom Honeyman, Richard Ferrers, Kerry Levett, Keith Russell, Andrew White
Australian Research Data Commons
How likely are you to
recommend the FAIR data
principles to a colleague?
Where to find the resources
You can find all these resources through: https://bit.ly/2Nr9HcB
Icons made by Freepik <www.freepik.com> from Flaticon <www.flaticon.com>, and are licensed by a Creative Commons BY 3.0 licence.