Supporting research data management and use of FAIR principles in citizen science projects by university libraries

Jitka Stilund Hansen*, Asger Væring Larsen, Gertrud Stougård Thomsen, Karsten Kryger Hansen, Signe Gadegaard, Katrine Flindt Holmstrand

*Corresponding author for this work

Research output: Contribution to conferenceConference abstract for conferenceCommunication

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Abstract

AIM
This project aims to identify and communicate good practices in research data management (RDM) of citizen science (CS) projects. The project is a part of a collaboration between Danish university libraries and researchers about our role in supporting and promoting CS projects and in implementing the FAIR principles in CS projects.
METHOD
We use Danish CS projects as cases to identify challenges in RDM of CS projects. We interview researchers and support writing of data management plans if not yet available. We aim to produce different information materials about library services to students and researchers interested in CS method and data. In addition, data management guidelines and a DMP template for CS project managers will be developed. The following RDA outcomes are currently considered for adoption in the CS data management guidelines:
1) Principles and Guidelines for Legal Interoperability of Research Data1
2) Best practices For Data Providers and Repositories from the Best Practices for Making Data Findable Task Force2
3) Data Foundation and Terminology WG Recommendation3
RESULTS and DISCUSSION
CS projects often contain personal data, which challenges the CS principle of data being shared with the community. Following the FAIR principles in CS projects will support the “Ten Principles of Citizen Science”4. Thus, publishing metadata with a persistent identifier, using open formats, community-specific standards and ontologies, and clear use licenses will increase findability and re-usability of CS projects. Several biodiversity CS projects may benefit from data sharing, which may be facilitated by good RDM and by adhering to the FAIR guiding principles. We anticipate that the RDA outcomes will assist us in creating the guidelines for RDM of CS projects.
Original languageEnglish
Publication date2020
Number of pages1
Publication statusPublished - 2020
Event15th Research Data Alliance Plenary Meeting - Virtual, Melbourne, Australia
Duration: 18 Mar 202010 Apr 2020
https://www.rd-alliance.org/plenaries/rda-15th-plenary-meeting-australia

Conference

Conference15th Research Data Alliance Plenary Meeting
LocationVirtual
CountryAustralia
CityMelbourne
Period18/03/202010/04/2020
Internet address

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