• Output Type: Working Group Supporting Output
  • Output Status: Endorsed
  • Review Period End: 2020-06-19
  • DOI:

    10.5281/zenodo.2555497

  • Group: Libraries for Research Data IG
  • Standards:
  • Regions:
  • Language:

  • Non RDA Author(s)

  • Adopters

  • Abstract

    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

  • Impact Statement

  • Primary Field or Expertise

    Mathematics

  • Explanation of Sustainable Development Goals

  • Citations

  • Output

    19-02-01-Top-10-FAIR-Data-and-Software-Things.pdf

    Download
    Output

    19-09-15-Top-10-FAIR-Data-and-Software-Things.pdf

    Download
    Output

    Las 10 cosas más importantes de los datos y el software FAIR_0.pdf

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  • Primary Domain: Natural Sciences
  • RDA Pathways:
  • Group Technology focus: Data (Output) Management Planning
  • Regions:
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  • Sustainable Development Goals:
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