The DANS services for sharing, cataloguing and archiving your health data

Research output: Contribution to conferencePosterScientific

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Abstract

DANS (Data Archiving and Networked Services) is the Netherlands institute for permanent access to digital research resources. DANS encourages researchers to make their research data and related digital outputs Findable, Accessible, Interoperable and Reusable (FAIR). To realise our mission, DANS provides expert advice and certified services. DataverseNL is the DANS service for short‐term data management, EASY our long‐term data archive, and NARCIS the national catalogue service for scholarly information. Training and consultancy services are provided for generic Research Data Management and Data Management Planning. More specific training sessions focus on repository certification, metadata standards, software sustainability and knowledge organisation systems. The (coordinating) activities of DANS in (inter)national projects and networks, ensure constant innovation and a state‐of‐the‐art knowledge on infrastructural data developments.
Although the roots of DANS are within the humanities and social sciences, most DANS services are generic services relevant for nearly all scientific disciplines, including the life and health sciences. As part of the Dutch national e‐infrastructure for research data, DANS is involved in several projects and initiatives around health data, often acting at the cross roads between the life and social sciences. Also, the DANS training activities touch upon the developments around health data. Cataloguing the Dutch “zorggegevens” in NARCIS, or the DANS training modules in the Helis Academy FAIR data stewardship course, are examples of specific DANS contributions to the life and health sciences.
The DANS poster presentation provides an overview of the DANS services of interest to the owners and custodians of health data, including examples of relevant recent projects. DANS invites participants of the Health‐RI 2020 conference to probe how DANS could support the sharing, cataloguing and archiving of their health data.
Original languageEnglish
Pages69
Number of pages1
Publication statusPublished - 30 Jan 2020

Keywords

  • Health
  • Data

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