Top 10 FAIR Data & Software Things
| Libraries for Research Data IG |
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Group co-chairs: Birgit Schmidt, Andi Ogier, Marta Teperek, Christopher Erdmann |
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Supporting Output title: Top 10 FAIR Data & Software Things |
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Authors: Paula Andrea Martinez, Christopher Erdmann, Natasha Simons, Reid Otsuji, Stephanie Labou, Ryan Johnson, Guilherme Castelao, Bia Villas Boas, Anna-Lena Lamprecht, Carlos Martinez Ortiz, Leyla Garcia, Mateusz Kuzak, Liz Stokes, Tom Honeyman, Sharyn Wise, Josh Quan, Scott Peterson, Amy Neeser, Lena Karvovskaya, Otto Lange, Iza Witkowska, Jacques Flores, Fiona Bradley, Kristina Hettne, Peter Verhaar, Ben Companjen, Laurents Sesink, Fieke Schoots, Erik Schultes, Rajaram Kaliyaperumal, Erzsébet Tóth-Czifra, Ricardo de Miranda Azevedo, Sanne Muurling, John Brown, Janice Chan, Niamh Quigley, Lisa Federer, Douglas Joubert, Allissa Dillman, Kenneth Wilkins, Ishwar Chandramouliswaran, Vivek Navale, Susan Wright, Silvia Di Giorgio, Mandela Fasemore, Konrad Förstner, Till Sauerwein, Eva Seidlmayer, Ilja Zeitlin, Susannah Bacon, Katie Hannan, Richard Ferrers, Keith Russell, Deidre Whitmore, Tim Dennis, Daniel Bangert, Albert Meroño Peñuela, Enrico Daga, Gerry Ryder, Aswin Narayanan, Iryna Kuchma, Jose Manzano Patron, Andrew Mehnert, Matthias Liffers, Ronald Siebes, Gerard Coen, Kathleen Gregory, Andrea Scharnhorst, Maria Cruz, Francoise Genova, Matthew Kenworthy, Natalie Meyers, Evert Rol, Juande Santander-Vela, Joanne Yeomans, Elli Papadopoulou, Emma Lazzeri, Leonidas Mouchliadis, Katerina Lenaki, Spyros Zoupanos, Danail Hristozov, Stella Stoycheva, Ellen Leenarts, Marjan Grootveld, Frans Huigen, Eliane Fankhauser |
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Impact: Provides 17 topic-based, community submitted brief guides that can be used by the research community to understand how they can make their research (data and software) more FAIR (Findable, Accessible, Interoperable and Reusable). |
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Citation: Paula Andrea Martinez, Christopher Erdmann, Natasha Simons, Reid Otsuji, Stephanie Labou, Ryan Johnson, Guilherme Castelao, et al. (2019). Top 10 FAIR Data & Software Things. https://doi.org/10.5281/zenodo.2555497 |
Abstract
The Top 10 FAIR Data & Software Things are brief guides (stand alone, self paced training materials), called "Things", that can be used by the research community to understand how they can make their research (data and software) more FAIR (Findable, Accessible, Interoperable and Reusable).
For further information and the most up-to-date version see:
https://librarycarpentry.org/Top-10-FAIR/
Keywords: FAIR, research data, research software
License: Creative Commons Attribution 4.0 International
| Attachment | Size |
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 Top 10 FAIR Data.pdf | 1014.52 KB |
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Author: Susanna-Assunta...
Date: 19 May, 2020
Great work, thank you. I have noticed that you do not have a specific activity on standards, and you may want to consider adding one to search, filter standards in FAIRsharing, an endorsed RDA output, since in this resource the repositories are interlinked to the (data and metadata) standards they implement. This will inform the users on if a standards is actually used. Feel free to get an example from the FAQs in the Educational page. Thanks.
Author: Christopher Erdmann
Date: 30 May, 2020
Hello Susanna-Assunta,
There are several Things that address what I believe you highlight above. Have a look at:
Humanities: Historical Research: Thing 10: Policies
Biomedical Data Producers, Stewards, and Funders: Thing 8: Indexing repositories to enable findability
Imaging (several Things include FAIRsharing-related exercises)
Both PDF attachments can be found at http://doi.org/10.5281/zenodo.3409968. RDA will hopefully be adding the 2nd attachment PDF to this page soon.
Hope this helps?
Best regards,
Chris Erdmann
Author: Esther Plomp
Date: 06 Jun, 2020
Thank you all for this wonderful resource!
I would just like to ask if it would perhaps be possible to put in the headers of the pages which top 10 you're currently in; the pdf version of these top 10's is quite long and it is easy to get lost in and track back in which top 10 you are when you are searching for resources.
I also noticed that the links to the dryad read me file are broken (page 20, 62). Perhaps the Cornell template is a good replacement? https://cornell.app.box.com/v/ReadmeTemplate
Author: Christopher Erdmann
Date: 28 Jun, 2020
Thanks Esther for your feedback!
I've made the updates to the Dryad links here:
https://github.com/LibraryCarpentry/Top-10-FAIR/commits/master
I'll work w/ RDA so that we can emphasize the living version of the Top 10 FAIR Data & Software Things (re: your 2nd question):
https://librarycarpentry.org/Top-10-FAIR/
Thank you again!