JournalsmagNo. 130pp. 40–47

Research-data management planning in the German mathematical community

  • Tobias Boege

    Aalto University, Helsinki, Finland

  • René Fritze

    Münster, Germany

  • Christiane Görgen

    Leipzig University, Germany

  • Jeroen Hanselman

    University of Kaiserslautern-Landau, Germany

  • Dorothea Iglezakis

    University of Stuttgart, Germany

  • Lars Kastner

    Technical University of Berlin, Germany

  • Thomas Koprucki

    Weierstrass Institute, Berlin, Germany

  • Tabea H. Krause

    Leipzig University, Germany

  • Christoph Lehrenfeld

    University of Göttingen, Germany

  • Silvia Polla

    Weierstrass Institute, Berlin, Germany

  • Marco Reidelbach

    Zuse Institute Berlin, Germany

  • Christian Riedel

    University of Potsdam, Germany

  • Jens Saak

    Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany

  • Björn Schembera

    University of Stuttgart, Germany

  • Karsten Tabelow

    Weierstrass Institute, Berlin, Germany

  • Marcus Weber

    Zuse Institute Berlin, Germany
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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