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Delineating the Successful Features of Research Data Management Training: A Systematic Review

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Bibliographic Details
Title: Delineating the Successful Features of Research Data Management Training: A Systematic Review
Language: English
Authors: Oo, Cherry Zin (ORCID 0000-0002-3227-8010), Chew, Adrian W. (ORCID 0000-0002-6550-5566), Wong, Adeline L. H., Gladding, Joanne, Stenstrom, Cecilia
Source: International Journal for Academic Development. 2022 27(3):249-264.
Availability: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Peer Reviewed: Y
Page Count: 16
Publication Date: 2022
Document Type: Journal Articles
Information Analyses
Descriptors: Research, Information Management, Best Practices, Training, Delivery Systems, Design, Success
DOI: 10.1080/1360144X.2021.1898399
ISSN: 1360-144X
1470-1324
Abstract: Research Data Management (RDM) is an inherently complex area that presents a challenge for institutions to effectively upskill people in RDM and get them to enact RDM best practices. This systematic review aims to provide a reference point for institutions and academic developers to design and deliver effective training for their students and staff to navigate the RDM landscape. After narrowing down from a pool of 1256 articles across 7 databases to 28 articles for analysis, this systematic review provides an overview of available RDM training and identifies three main themes in relation to key features of this RDM training.
Abstractor: As Provided
Entry Date: 2023
Accession Number: EJ1370392
Database: ERIC
Description
Abstract:Research Data Management (RDM) is an inherently complex area that presents a challenge for institutions to effectively upskill people in RDM and get them to enact RDM best practices. This systematic review aims to provide a reference point for institutions and academic developers to design and deliver effective training for their students and staff to navigate the RDM landscape. After narrowing down from a pool of 1256 articles across 7 databases to 28 articles for analysis, this systematic review provides an overview of available RDM training and identifies three main themes in relation to key features of this RDM training.
ISSN:1360-144X
1470-1324
DOI:10.1080/1360144X.2021.1898399