J. Abramatic, R. D. Cosmo, and S. Zacchiroli, Building the universal archive of source code, Commun. ACM, issue.10, pp.29-31, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02157125

A. Allen and J. Schmidt, Looking before leaping: Creating a software registry, Journal of Open Research Software, vol.3, issue.e15, 2015.

L. Allen, A. O'connell, and V. Kiermer, How can we ensure visibility and diversity in research contributions? How the Contributor Role Taxonomy (CRediT) is helping the shift from authorship to contributorship, Learned Publishing, vol.32, issue.1, pp.71-74, 2019.

, Artifact review and badging, 2018.

C. L. Borgman, J. C. Wallis, and M. S. Mayernik, Who's got the data? interdependencies in science and technology collaborations, Computer Supported Cooperative Work, vol.21, issue.6, pp.485-523, 2012.

C. T. Brown, Revisiting authorship, and JOSS software publications, 2019.

C. Collberg and T. A. Proebsting, Repeatability in computer systems research, Communications of the ACM, vol.59, issue.3, pp.62-69, 2016.

L. Courtès and R. Wurmus, Reproducible and user-controlled software environments in HPC with Guix, Euro-Par 2015: Parallel Processing Workshops, pp.579-591, 2015.

R. D. Cosmo, M. Gruenpeter, and S. Zacchiroli, Identi ers for digital objects: the case of software source code preservation, Proceedings of the 15th International Conference on Digital Preservation, 2018.

E. Dolstra, M. De-jonge, and E. Visser, Nix: A safe and policy-free system for software deployment, Proceedings of the 18th Conference on Systems Administration, pp.79-92, 2004.

Y. Gil, C. H. David, I. Demir, B. Essawy, W. Fulweiler et al., Towards the geoscience paper of the future: Best practices for documenting and sharing research from data to software to provenance: Geoscience paper of the future, Earth and Space Science, vol.3, 2016.

K. Hinsen, Software development for reproducible research, Computing in Science and Engineering, vol.15, issue.4, pp.60-63, 2013.
URL : https://hal.archives-ouvertes.fr/hal-02070857

J. Howison and J. Bullard, Software in the scienti c literature: Problems with seeing, nding, and using software mentioned in the biology literature, Journal of the Association for Information Science and Technology, vol.67, issue.9, pp.2137-2155, 2016.

L. Hwang, A. Fish, L. Soito, M. Smith, and L. H. Kellogg, Software and the scientist: Coding and citation practices in geodynamics, Earth and Space Science, vol.4, issue.11, pp.670-680, 2017.

, INRIA's Evaluation Committee. Criteria for software self-assessment, 2011.

M. B. Jones, C. Boettiger, A. Mayes, A. Smith, P. Slaughter et al., Codemeta: an exchange schema for software metadata, 2017.

J. Lima, C. Treude, F. F. Filho, and U. Kulesza, Assessing developer contribution with repository mining-based metrics, IEEE International Conference on Software Maintenance and Evolution (ICSME), pp.536-540, 2015.

L. J. Shustek, What should we collect to preserve the history of software?, IEEE Annals of the History of Computing, vol.28, issue.4, pp.110-112, 2006.

A. M. Smith, D. S. Katz, and K. E. Niemeyer, Software citation principles, PeerJ Computer Science, vol.2, p.86, 2016.

V. Stodden, R. J. Leveque, and I. Mitchell, Reproducible research for scienti c computing: Tools and strategies for changing the culture, Computing in Science and Engineering, vol.14, issue.4, pp.13-17, 2012.