12
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Sharing data, caring for collections. Open data on collection agents affiliated with the Museum für Naturkunde Berlin

      , , ,
      Research Ideas and Outcomes
      Pensoft Publishers

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Linked open data on collection agents contribute to increased discoverability, accessibility and transparency of natural history collections. Despite major efforts to digitise and open up museum and university object collections, related information is often stored in internal resources. This paper describes a project conducted at the Museum für Naturkunde Berlin (MfN) contributing to its collection disclosure and development initiatives. Information on historical collectors and other collection agents was transferred from the internal MfN collector wiki to Wikidata. For a total of 600 collection agents, existing Wikidata items were enriched or new items created.Special emphasis was put on linking these people to the Museum, to document their affiliation with the MfN, its collection and its archive. Within the project, an open participatory approach was taken. Several Wikidata edit-a-thons were organised to test this collaborative and innovative format for possible future application by the Museum. By opening up institutional silos and openly sharing data on agents connected to museum holdings, these data become more widely accessible and reusable, for example, as a resource for transdisciplinary provenance research.

          Related collections

          Most cited references29

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          The FAIR Guiding Principles for scientific data management and stewardship

          There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Wikidata

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              The CARE Principles for Indigenous Data Governance

                Bookmark

                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Research Ideas and Outcomes
                RIO
                Pensoft Publishers
                2367-7163
                May 08 2024
                May 08 2024
                : 10
                Article
                10.3897/rio.10.e118851
                ece64dd4-1927-437e-91d0-41bbc9860509
                © 2024

                http://creativecommons.org/licenses/by/4.0/

                History

                Comments

                Comment on this article