From mess to method: A case study about designing a workshop on research data discovery

Benjamin Derksen; Asger Væring  Larsen; Pernille  Nailor; Andreas Helles  Pedersen; Sacha Zurcher

doi:10.7557/11.8280

Authors

Benjamin Derksen Royal Danish Library https://orcid.org/0000-0001-9144-7518
Asger Væring Larsen Royal Danish Library https://orcid.org/0000-0002-9967-2637
Pernille Nailor Royal Danish Library
Andreas Helles Pedersen Royal Danish Library https://orcid.org/0000-0003-4492-1955
Sacha Zurcher Royal Danish Library https://orcid.org/0000-0002-1298-9202

DOI:

https://doi.org/10.7557/11.8280

Keywords:

Dataset, Discovery, FAIR principles, Open Science, Research data, Researchers, Retrieval, Reuse, Searching, Workshop

Abstract

The dream of FAIR data is to have, where possible, research data open and accessible to review and reuse. The present reality complicates data’s findability in a myriad of ways not least of which is the decentralised nature of research data repositories and indexes that characterise the data publishing landscape. In an effort to improve this situation, we, a network of library research support staff in Denmark, have developed a workshop designed to enhance the competencies of researchers to search for published data. This case study summarises the genesis of this workshop, its various iterations and potential avenues for future development.

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