FAIR4Software reading materials

FAIR Research Software

In preparation for P15, we collected FAIR Research Software material on this deidcated page.


The session was prepared by SSC iG participants and the authors of:

Lamprecht, A.-L., Garcia, L., Kuzak, M., Martinez, C., Arcila, R., Pico, E.M.D., Angel, V.D.D., Sandt, S. van de, Ison, J., Martinez, P.A., McQuilton, P., Valencia, A., Harrow, J., Psomopoulos, F., Gelpi, J.L., Hong, N.C., Goble, C., Capella-Gutierrez, S., Groth, P., 2019. Towards FAIR principles for research software. Data Science. https://doi.org/10.3233/DS-190026


Useful links:


Related papers:


  • Hettrick, S., Antonioletti, M., Carr, L., Chue Hong, N., Crouch, S., De Roure, D., Emsley, I., Goble, C., Hay, A., Inupakutika, D., Jackson, M., Nenadic, A., Parkinson, T., Parsons, M.I., Pawlik, A., Peru, G., Proeme, A., Robinson, J., Sufi, S., 2014. UK Research Software Survey 2014. https://doi.org/10.5281/zenodo.14809
  • The Committee for Open Science’s Free Software, Open Source Project Group, 2019. Opportunity Note: Encouraging a wider usage of software derived from research. URL https://www.ouvrirlascience.fr/opportunity-note-encouraging-a-wider-usage-of-software-derived-from-research (accessed 2.28.20).
  • Mons, B., Neylon, C., Velterop, J., Dumontier, M., da Silva Santos, L.O.B., Wilkinson, M.D., 2017. Cloudy, increasingly FAIR; revisiting the FAIR Data guiding principles for the European Open Science Cloud. Information Services & Use 37, 49–56. https://doi.org/10.3233/ISU-170824
  • Katz, D.S., Niemeyer, K.E., Smith, A.M., Anderson, W.L., Boettiger, C., Hinsen, K., Hooft, R., Hucka, M., Lee, A., Löffler, F., Pollard, T., Rios, F., 2016. Software vs. data in the context of citation (No. e2630v1). PeerJ Inc. https://doi.org/10.7287/peerj.preprints.2630v1
  • Pierre Alliez, Roberto Di Cosmo, Benjamin Guedj, Alain Girault, Mohand-Said Hacid, Arnaud Legrand, Nicolas Rougier. Attributing and Referencing (Research) Software: Best Practices and Outlook From Inria. Computing in Science Engineering, 22 (1), pp. 39-52, 2020, ISSN: 1558-366X. https://dx.doi.org/10.1109/MCSE.2019.2949413

  • Roberto Di Cosmo, Morane Gruenpeter, Stefano Zacchiroli. Referencing Source Code Artifacts: a Separate Concern in Software Citation. Computing in Science & Engineering, 2020, ISSN:1521-9615. https://dx.doi.org/10.1109/MCSE.2019.2963148


The references and links below were collected for the Software Source Code IG P13 session on FAIR Software Source Code: