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

Pierre Alliez 1 Roberto Di Cosmo 2, 3, 4 Benjamin Guedj 5, 6, 7, 8 Alain Girault 9 Mohand-Said Hacid 10 Arnaud Legrand 11 Nicolas P. Rougier 12
1 TITANE - Geometric Modeling of 3D Environments
CRISAM - Inria Sophia Antipolis - Méditerranée
6 MODAL - MOdel for Data Analysis and Learning
Inria Lille - Nord Europe, LPP - Laboratoire Paul Painlevé - UMR 8524, CERIM - Santé publique : épidémiologie et qualité des soins-EA 2694, Polytech Lille - École polytechnique universitaire de Lille, Université de Lille, Sciences et Technologies
9 SPADES - Sound Programming of Adaptive Dependable Embedded Systems
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
10 BD - Base de Données
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
12 Mnemosyne - Mnemonic Synergy
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest, IMN - Institut des Maladies Neurodégénératives [Bordeaux]
Abstract : 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.
Document type :
Preprints, Working Papers, ...
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-02135891
Contributor : Roberto Di Cosmo <>
Submitted on : Monday, May 27, 2019 - 1:10:17 PM
Last modification on : Wednesday, August 21, 2019 - 5:30:53 PM

Files

main.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02135891, version 1
  • ARXIV : 1905.11123

Citation

Pierre Alliez, Roberto Di Cosmo, Benjamin Guedj, Alain Girault, Mohand-Said Hacid, et al.. Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria. 2019. ⟨hal-02135891⟩

Share

Metrics

Record views

1119

Files downloads

371