FAIR WISH - FAIR Workflows to establish IGSN for Samples in the Helmholtz Association
Published July 1, 2022 | Version 1
Project deliverable Open

FAIR WISH D1 - List of identified linked open data vocabularies to be included in IGSN metadata

Creators

  • 1. Helmholtz-Zentrum Hereon
  • 2. GFZ German Research Centre for Geosciences
  • 3. Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research

Description

This document contains deliverable D1 List of identified linked open data vocabularies to be included in IGSN metadata of the project FAIR Workflows to establish IGSN for Samples in the Helmholtz Association (FAIR WISH) funded by the Helmholtz Metadata Collaboration (HMC). Deliverable D1 is part of work package 2 Identification and integration of linked open data vocabularies to be included in disciplinary metadata.

Linked open data vocabularies allow for a concise and unambiguous language to describe samples in machine-actionable and interoperable form. They also ensure the possibility of interlinking and comparing samples for which similar or the same terms are used. Here we present the result of our search for open vocabularies, which seem suitable for the FAIR WISH project.

FAIR WISH was was funded 2022-2023 by the Initiative and Networking Fund of the Helmholtz Association (Helmholtz Metadata Collaboration HMC, Project Cohorte 2020).

Files

FAIR_WISH_D1_List_of_identified_linked_open_data_vocabularies.pdf

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Additional details

Funding

FAIR WISH (HMC Project Cohorte 2020) ZT-I-PF-3-013
Helmholtz Association of German Research Centres

References

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  • Klump, J., Lehnert, K., Ulbricht, D., Devaraju, A., Elger, K., Fleischer, D., Ramdeen, S., Wyborn, L. (2021): Towards Globally Unique Identification of Physical Samples: Governance and Technical Implementation of the IGSN Global Sample Number. - Data Science Journal, 20, 1, 1-16. https://doi.org/10.5334/dsj-2021-033
  • Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., … Mons, B. (2016). The FAIR Guiding Principles for scientific data management and stewardship. In Scientific Data (Vol. 3, Issue 1), https://doi.org/10.1038/sdata.2016.18