Top 10 FAIR Data & Software Things

Libraries for Research Data IG

Group co-chairs:  Birgit Schmidt, Andi Ogier, Marta Teperek, Christopher Erdmann

Supporting Output title: Top 10 FAIR Data & Software Things

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

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).

DOI: 10.5281/zenodo.2555497

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