DataPLAN: A Web-Based Data Management Plan Generator for the Plant Sciences

Xiao-Ran Zhou (), Sebastian Beier, Dominik Brilhaus, Cristina Martins Rodrigues, Timo Mühlhaus, Dirk von Suchodoletz, Richard M. Twyman, Björn Usadel and Angela Kranz ()
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Xiao-Ran Zhou: IBG-4: Bioinformatics, Institute of Bio- and Geosciences, BioSC, CEPLAS, Forschungszentrum Jülich, 52428 Jülich, Germany
Sebastian Beier: IBG-4: Bioinformatics, Institute of Bio- and Geosciences, BioSC, CEPLAS, Forschungszentrum Jülich, 52428 Jülich, Germany
Dominik Brilhaus: Data Science and Management, CEPLAS, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany
Cristina Martins Rodrigues: Computer Center, University of Freiburg, 79104 Freiburg, Germany
Timo Mühlhaus: Computational Systems Biology, University of Kaiserslautern-Landau, 67663 Kaiserslautern, Germany
Dirk von Suchodoletz: Computer Center, University of Freiburg, 79104 Freiburg, Germany
Richard M. Twyman: TRM Ltd., P.O. Box 493, Scarborough YO11 9FJ, UK
Björn Usadel: IBG-4: Bioinformatics, Institute of Bio- and Geosciences, BioSC, CEPLAS, Forschungszentrum Jülich, 52428 Jülich, Germany
Angela Kranz: IBG-4: Bioinformatics, Institute of Bio- and Geosciences, BioSC, CEPLAS, Forschungszentrum Jülich, 52428 Jülich, Germany

Data, 2023, vol. 8, issue 11, 1-19

Abstract: Research data management (RDM) combines a set of practices for the organization, storage and preservation of data from research projects. The RDM strategy of a project is usually formalized as a data management plan (DMP)—a document that sets out procedures to ensure data findability, accessibility, interoperability and reusability (FAIR-ness). Many aspects of RDM are standardized across disciplines so that data and metadata are reusable, but the components of DMPs in the plant sciences are often disconnected. The inability to reuse plant-specific DMP content across projects and funding sources requires additional time and effort to write unique DMPs for different settings. To address this issue, we developed DataPLAN—an open-source tool incorporating prewritten DMP content for the plant sciences that can be used online or offline to prepare multiple DMPs. The current version of DataPLAN supports Horizon 2020 and Horizon Europe projects, as well as projects funded by the German Research Foundation (DFG). Furthermore, DataPLAN offers the option for users to customize their own templates. Additional templates to accommodate other funding schemes will be added in the future. DataPLAN reduces the workload needed to create or update DMPs in the plant sciences by presenting standardized RDM practices optimized for different funding contexts.

Keywords: DMP; planning; omics; phenotyping; botany; research data management (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2023
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