IDEAS home Printed from https://ideas.repec.org/a/gam/jdataj/v8y2023i11p159-d1266240.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    Institute for Biological Data Science, CEPLAS, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany)

  • Angela Kranz

    (IBG-4: Bioinformatics, Institute of Bio- and Geosciences, BioSC, CEPLAS, Forschungszentrum Jülich, 52428 Jülich, Germany)

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.

Suggested Citation

  • Xiao-Ran Zhou & Sebastian Beier & Dominik Brilhaus & Cristina Martins Rodrigues & Timo Mühlhaus & Dirk von Suchodoletz & Richard M. Twyman & Björn Usadel & Angela Kranz, 2023. "DataPLAN: A Web-Based Data Management Plan Generator for the Plant Sciences," Data, MDPI, vol. 8(11), pages 1-19, October.
    • Handle: RePEc:gam:jdataj:v:8:y:2023:i:11:p:159-:d:1266240
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2306-5729/8/11/159/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2306-5729/8/11/159/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jdataj:v:8:y:2023:i:11:p:159-:d:1266240. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.