Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria

Alliez, Pierre; Di Cosmo, Roberto; Guedj, Benjamin; Girault, Alain; Hacid, Mohand-Said; Legrand, Arnaud; Rougier, Nicolas P.

Document type :

Article dans une revue scientifique

DOI :

10.1109/MCSE.2019.2949413

Permalink :

http://hdl.handle.net/20.500.12210/29275

Title :

Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria

Author(s) :

Alliez, Pierre [Auteur]
Di Cosmo, Roberto [Auteur]
Guedj, Benjamin [Auteur]

Laboratoire Paul Painlevé - UMR 8524 [LPP]
Girault, Alain [Auteur]
Hacid, Mohand-Said [Auteur]
Legrand, Arnaud [Auteur]
Rougier, Nicolas P. [Auteur]

Journal title :

Computing in Science & Engineering

Pages :

1-14

Publisher :

IEEE

Publication date :

2019

ISSN :

1558-366X

Keyword(s) :

Software reference
Development process
Software citation
Authorship
Reference

HAL domain(s) :

Informatique [cs]/Bibliothèque électronique [cs.DL]

English abstract : [en]

Software is a fundamental pillar of modern scientific research, not only in computer science, but actually across all fields and disciplines. However, there is a lack of adequate means to cite and reference software, for ...
Show more >Software is a fundamental pillar of modern scientific research, not only in computer science, but actually across all fields and disciplines. However, there is a lack of adequate means to cite and reference software, for many reasons. An obvious first reason is software authorship, which can range from a single developer to a whole team, and can even vary in time. The panorama is even more complex than that, because many roles can be involved in software development: software architect, coder, debugger, tester, team manager, and so on. Arguably, the researchers who have invented the key algorithms underlying the software can also claim a part of the authorship. And there are many other reasons that make this issue complex. We provide in this paper a contribution to the ongoing efforts to develop proper guidelines and recommendations for software citation, building upon the internal experience of Inria, the French research institute for digital sciences. As a central contribution, we make three key recommendations. (1) We propose a richer taxonomy for software contributions with a qualitative scale. (2) We claim that it is essential to put the human at the heart of the evaluation. And (3) we propose to distinguish citation from reference.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

CNRS
Université de Lille

Collections :

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694

Submission date :

2020-06-08T14:10:45Z
2020-06-09T09:39:23Z

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2	20.500.12210/29275*	2020-06-09T09:39:04Z
1	20.500.12210/29275.1	2020-06-08T14:10:45Z

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