Published May 26, 2025 | Version v1
Report Open

Identification of core elements for a machine-actionable Data Management Plan metadata schema in the NFDI

  • 1. ROR icon ZB MED - Information Centre for Life Sciences
  • 2. ROR icon University of Potsdam
  • 3. ROR icon Karlsruhe Institute of Technology
  • 4. ROR icon DataCite
  • 5. ROR icon Physikalisch-Technische Bundesanstalt
  • 6. ROR icon Leibniz Institute of Plant Genetics and Crop Plant Research
  • 7. German Federation for Biological Data
  • 8. ROR icon Leibniz Institute for Astrophysics Potsdam
  • 9. ROR icon Senckenberg Society for Nature Research
  • 10. ROR icon Zuse Institute Berlin
  • 11. ROR icon RWTH Aachen University
  • 12. Friedrich Schiller University Jena
  • 13. Friederich Schiller University Jena
  • 14. ROR icon Technical University of Darmstadt
  • 15. Institute for Bio- and Geosciences (IBG-4: Bioinformatics), CEPLAS, BIOSC, Forschungszentrum Jülich, Wilhelm Johnen Straße, Jülich, Germany

Description

From 28 to 30 October 2024, ZB MED Information Centre for Life Sciences organized a hackathon in Cologne within the scope of NFDI4DataScience with the purpose of identifying core elements for a machine-actionable Data Managemnt Plan (maDMP) across the German National Research Data Infrastructure (NFDI). We used as starting/reference point the maDMP application profile from the Research Data Alliance DMP Commons Working Group. Here we report on the activities and findings. The dataset corresponding to crosswalks can be found at DOI:10.5281/zenodo.15129830

Abstract:

The interoperability of data management plans (DMPs) across platforms and application profiles plays a key role in the implementation of good scientific practice and of the FAIR data principles. The application profile for "machine-actionable DMPs" published by the Research Data Alliance (RDA) marks an important step in this direction. More recently, networking initiatives such as the German National Research Data Infrastructure (NFDI) are collecting and generating templates for DMPs based on the needs of different subject-related communities and implemented in different DMP software tools. In a two-day hackathon we analyzed the RDA maDMP application profile, discussed the meaning and applicability of the proposed elements and aligned them to selected community-driven schemas and platforms for DMPs and for metadata. The results are available in the form of crosswalks and are intended to pave the way towards an maDMP based on schema.org to improve information exchange between DMP platforms and other research data services, and alignment between DMPs and Software Management Plans.

Data availability: DOI:10.5281/zenodo.15129830

Keywords: data management plans, machine-actionability, metadata, crosswalks, NFDI

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2024.10.28-30 maDMP hackathon report.pdf

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Additional details

Related works

Is supplemented by
Dataset: 10.5281/zenodo.15129829 (DOI)

Funding

Deutsche Forschungsgemeinschaft
NFDI4DataScience 460234259
Deutsche Forschungsgemeinschaft
Base4NFDI 521466146
Deutsche Forschungsgemeinschaft
NFDI4Ing 442146713
Deutsche Forschungsgemeinschaft
MaRDI 460135501

References

  • T. Miksa, S. Simms, D. Mietchen, and S. Jones, 'Ten principles for machine-actionable data management plans', PLOS Computational Biology, vol. 15, no. 3, p. e1006750, Mar. 2019, doi: 10.1371/journal.pcbi.1006750.
  • J. Klar et al., Research Data Management Organizer (RDMO). (Jun. 15, 2023). Python. doi: 10.5281/zenodo.596581.
  • X.-R. Zhou et al., 'DataPLAN: A Web-Based Data Management Plan Generator for the Plant Sciences', Data, vol. 8, no. 11, Art. no. 11, Nov. 2023, doi: 10.3390/data8110159.
  • L. J. Castro, O. Giraldo, L. Geist, N. Quiñones, D. Solanki, and D. Rebholz-Schuhmann, machine-actionable Software Management Plan Ontology (maSMP Ontology), Jan. 29, 2024. doi: 10.5281/zenodo.10582073.
  • R. Alves et al., 'ELIXIR Software Management Plan for Life Sciences', Oct. 25, 2021, BioHackrXiv. doi: 10.37044/osf.io/k8znb.
  • O. Giraldo et al., 'Workshop machine-actionable Software Management Plans', Zenodo, Jun. 2023. doi: 10.5281/zenodo.8087357.
  • L. J. Castro, E. Gonzalez, Y. V. Grossmann, D. Solanki, and C. Utrilla, 'Metadata crosswalks for software management plans at NFDI4DS hackathon maSMP 2023'. 2023. doi: 10.5281/zenodo.10275895.
  • A. J. G. Gray, C. Goble, and R. C. Jimenez, 'From Potato Salad to Protein Annotation', in ISWC Posters and Demo session, Vienna, Austria, Oct. 2017, p. 4. [Online]. Available: http://ceur-ws.org/Vol-1963/paper579.pdf
  • L. J. Castro, O. Giraldo, L. Geist, N. Quiñones, D. Solanki, and D. Rebholz-Schuhmann, Usage guidance (aka profiles) for the machine-actionable Software Management Plan Ontology, Jan. 29, 2024. doi: 10.5281/zenodo.10582121.
  • M. Suchánek, V. Knaisl, R. Alves, L. J. Castro, F. E. Psomopoulos, and E. M. del Pico, 'Building Towards a Machine-Actionable Software Management Plan: A BioHackathon Europe 2023 Report', Mar. 19, 2024, OSF. doi: 10.37044/osf.io/t94g8.
  • T. Miksa, P. Walk, and P. Neish, 'RDA DMP Common Standard for Machine-actionable Data Management Plans', Sep. 16, 2020. doi: 10.15497/rda00039.
  • DataCite Metadata Working Group, 'DataCite Metadata Schema Documentation for the Publication and Citation of Research Data and Other Research Outputs v4.5', 2024, doi: 10.14454/G8E5-6293.
  • D. Solanki et al., 'Crosswalks from the NFDI4DS hackathon "machine-actionable Data Management Plan for NFDI"'. Zenodo, Apr. 03, 2025. doi: 10.5281/zenodo.15129830.
  • D. Johnson et al., 'ISA API: An open platform for interoperable life science experimental metadata', GigaScience, vol. 10, no. 9, p. giab060, Sep. 2021, doi: 10.1093/gigascience/giab060.
  • ELIXIR Europe, 'Machine actionability at RDMkit:The ELIXIR Research Data Management toolkit for Life Sciences URL'. Accessed: May 20, 2025. [Online]. Available: https://rdmkit.elixir-europe.org/machine_actionability
  • T. Berners-Lee, 'Linked Data - Design Issues'. Accessed: Sep. 26, 2024. [Online]. Available: https://www.w3.org/DesignIssues/LinkedData.html
  • M. D. Wilkinson et al., 'The FAIR Guiding Principles for scientific data management and stewardship', Sci Data, vol. 3, no. 1, Art. no. 1, Dec. 2016, doi: 10.1038/sdata.2016.18.
  • K. De Smedt, D. Koureas, and P. Wittenburg, 'FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units', Publications, vol. 8, no. 2, Art. no. 2, Jun. 2020, doi: 10.3390/publications8020021.
  • S. Soiland-Reyes, L. J. Castro, D. Garijo, M. Portier, C. Goble, and P. Groth, 'Updating Linked Data practices for FAIR Digital Object principles', in Research Ideas and Outcomes, Pensoft Publishers, Oct. 2022, p. e94501. doi: 10.3897/rio.8.e94501.
  • R. V. Guha, D. Brickley, and S. Macbeth, 'Schema.org: evolution of structured data on the web', Commun. ACM, vol. 59, no. 2, pp. 44–51, Jan. 2016, doi: 10.1145/2844544.