Research Data Management Challenges in Citizen Science Projects and Recommendations for Library Support Services. A Scoping Review and Case Study

Citizen science (CS) projects are part of a new era of data aggregation and harmonisation that facilitates interconnections between different datasets. Increasing the value and reuse of CS data has received growing attention with the appearance of the FAIR principles and systematic research data man...

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Bibliographic Details
Published in:Data science journal 2021-08, Vol.20 (2), p.25
Main Authors: Hansen, Jitka Stilund, Gadegaard, Signe, Hansen, Karsten Kryger, Larsen, Asger Vaering, Møller, Søren, Thomsen, Gertrud Stougård, Holmstrand, Katrine Flindt
Format: Article
Language:English
Subjects:
Case studies
citizen science
Employee motivation
fair principles
Information management
Management science
research data management
University and college libraries
university library
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Summary:Citizen science (CS) projects are part of a new era of data aggregation and harmonisation that facilitates interconnections between different datasets. Increasing the value and reuse of CS data has received growing attention with the appearance of the FAIR principles and systematic research data management (RDM) practises, which are often promoted by university libraries. However, RDM initiatives in CS appear diversified and if CS have special needs in terms of RDM is unclear. Therefore, the aim of this article is firstly to identify RDM challenges for CS projects and secondly, to discuss how university libraries may support any such challenges.
ISSN:1683-1470
1683-1470
DOI:10.5334/dsj-2021-025