Caching and Reproducibility: Making Data Science Experiments Faster and FAIRer

Small to medium-scale data science experiments often rely on research software developed ad-hoc by individual scientists or small teams. Often there is no time to make the research software fast, reusable, and open access. The consequence is twofold. First, subsequent researchers must spend signific...

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Detalles Bibliográficos
Autores principales: Schubotz, Moritz, Satpute, Ankit, Greiner-Petter, André, Aizawa, Akiko, Gipp, Bela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Research Metrics and Analytics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9075102/
https://www.ncbi.nlm.nih.gov/pubmed/35531060
http://dx.doi.org/10.3389/frma.2022.861944

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9075102/
https://www.ncbi.nlm.nih.gov/pubmed/35531060
http://dx.doi.org/10.3389/frma.2022.861944

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