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 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. (…) »

source > datascience.codata.org, Hansen, J.S., Gadegaard, S., Hansen, K.K., Larsen, A.V., Møller, S., Thomsen, G.S. and Holmstrand, K.F., 2021. Research Data Management Challenges in Citizen Science Projects and Recommendations for Library Support Services. A Scoping Review and Case Study. Data Science Journal, 20(1), p.25. DOI: http://doi.org/10.5334/dsj-2021-025

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