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Making Mathematical Research Data FAIR: Pathways to Improved Data Sharing.
Conrad, Tim O F; Ferrer, Eloi; Mietchen, Daniel; Pusch, Larissa; Stegmüller, Johannes; Schubotz, Moritz.
Afiliação
  • Conrad TOF; Zuse Institute Berlin, Berlin, Germany. conrad@zib.de.
  • Ferrer E; Zuse Institute Berlin, Berlin, Germany.
  • Mietchen D; FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Berlin, Germany.
  • Pusch L; Ronin Institute for Independent Scholarship, Montclair, USA.
  • Stegmüller J; Zuse Institute Berlin, Berlin, Germany.
  • Schubotz M; FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Berlin, Germany.
Sci Data ; 11(1): 676, 2024 Jun 22.
Article em En | MEDLINE | ID: mdl-38909043
ABSTRACT
The sharing and citation of research data is becoming increasingly recognized as an essential building block in scientific research across various fields and disciplines. Sharing research data allows other researchers to reproduce results, replicate findings, and build on them. Ultimately, this will foster faster cycles in knowledge generation. Some disciplines, such as astronomy or bioinformatics, already have a long history of sharing data; many others do not. The current landscape of available systems for sharing research data is diverse. In this article, we conduct a detailed analysis of existing web-based systems, specifically focusing on mathematical research data.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Sci Data Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Sci Data Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha