Machine-Actionable Metadata for Software and Software Management Plans for NFDI

Author:

Giraldo Olga,Dessi Danilo,Dietze StefanORCID,Rebholz-Schuhmann Dietrich,Castro Leyla JaelORCID

Abstract

Research data is on its way to be recognized as a first-class citizen in research; however, and despite its importance for science, software still has a long way to go. Recent initiatives are paving the way, including FAIR for Research Software and Software Management Plans. A step further towards machine-actionability is adding a structured metadata layer. Here we discuss some metadata elements useful to represent software and integrate it into management plans, and how it could be of benefit for NFDI.

Funder

Horizon 2020

Deutsche Forschungsgemeinschaft

Publisher

TIB Open Publishing

Reference16 articles.

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2. Chue Hong, NP. et al. FAIR Principles for Research Software (FAIR4RS Principles). Research Data Alliance. 2022 https://doi.org/10.15497/RDA00068

3. Alves, R., Bampalikis, D., Castro, L., Fernández, J. M., Harrow, J., Kuzak, M., … Via, A. (2021, October 25). ELIXIR Software Management Plan for Life Sciences. https://doi.org/10.37044/osf.io/k8znb

4. Martinez-Ortiz C, Martinez Lavanchy P, Sesink L, Olivier BG, Meakin J, de Jong M, et al. Practical guide to Software Management Plans. Zenodo; 2022 Oct. https://doi.org/10.5281/zenodo.7248877

5. Giraldo O, Alves R, Bampalikis D, Fernández González JM, Martin Del Pico E, Psomopoulos F, et al. A metadata analysis for machine-actionable Software Mng Plans - Poster. ZB MED - Informationszentrum Lebenswissenschaften; 2023. Available: https://doi.org/10.4126/FRL01-006440396

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