Research-data management planning in the German mathematical community
Tobias Boege
Aalto University, Helsinki, FinlandRené Fritze
Münster, GermanyChristiane Görgen
Leipzig University, GermanyJeroen Hanselman
University of Kaiserslautern-Landau, GermanyDorothea Iglezakis
University of Stuttgart, GermanyLars Kastner
Technical University of Berlin, GermanyThomas Koprucki
Weierstrass Institute, Berlin, GermanyTabea H. Krause
Leipzig University, GermanyChristoph Lehrenfeld
University of Göttingen, GermanySilvia Polla
Weierstrass Institute, Berlin, GermanyMarco Reidelbach
Zuse Institute Berlin, GermanyChristian Riedel
University of Potsdam, GermanyJens Saak
Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, GermanyBjörn Schembera
University of Stuttgart, GermanyKarsten Tabelow
Weierstrass Institute, Berlin, GermanyMarcus Weber
Zuse Institute Berlin, Germany
Abstract
In this paper we discuss the notion of research data for the field of mathematics and report on the status quo of research-data management and planning. A number of decentralized approaches are presented and compared to needs and challenges faced in three use cases from different mathematical subdisciplines. We highlight the importance of tailoring research-data management plans to mathematicians’ research processes and discuss their usage all along the data life cycle.
Cite this article
Tobias Boege, René Fritze, Christiane Görgen, Jeroen Hanselman, Dorothea Iglezakis, Lars Kastner, Thomas Koprucki, Tabea H. Krause, Christoph Lehrenfeld, Silvia Polla, Marco Reidelbach, Christian Riedel, Jens Saak, Björn Schembera, Karsten Tabelow, Marcus Weber, Research-data management planning in the German mathematical community. Eur. Math. Soc. Mag. 130 (2023), pp. 40–47
DOI 10.4171/MAG/152