Generating FAIR research data in experimental tribology

Solutions for the generation of FAIR (Findable, Accessible, Interoperable, and Reusable) data and metadata in experimental tribology are currently lacking. Nonetheless, FAIR data production is a promising path for implementing scalable data science techniques in tribology, which can lead to a deeper...

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Detalles Bibliográficos
Autores principales: Garabedian, Nikolay T., Schreiber, Paul J., Brandt, Nico, Zschumme, Philipp, Blatter, Ines L., Dollmann, Antje, Haug, Christian, Kümmel, Daniel, Li, Yulong, Meyer, Franziska, Morstein, Carina E., Rau, Julia S., Weber, Manfred, Schneider, Johannes, Gumbsch, Peter, Selzer, Michael, Greiner, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9203546/
http://dx.doi.org/10.1038/s41597-022-01429-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9203546/
http://dx.doi.org/10.1038/s41597-022-01429-9

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