Research data management in practice: Results from a cross-sectional survey of health and medical researchers from an academic institution in Australia

Krahe, Michelle A., Toohey, Julie, Wolski, Malcolm, Scuffham, Paul A., and Reilly, Sheena (2020) Research data management in practice: Results from a cross-sectional survey of health and medical researchers from an academic institution in Australia. Health Information Management Journal, 49 (2-3). pp. 108-116.

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Abstract

Background: Building or acquiring research data management (RDM) capacity is a major challenge for health and medical researchers and academic institutes alike. Considering that RDM practices influence the integrity and longevity of data, targeting RDM services and support in recognition of needs is especially valuable in health and medical research. Objective: This project sought to examine the current RDM practices of health and medical researchers from an academic institution in Australia.

Method: A cross-sectional survey was used to collect information from a convenience sample of 81 members of a research institute (68 academic staff and 13 postgraduate students). A survey was constructed to assess selected data management tasks associated with the earlier stages of the research data life cycle.

Results: Our study indicates that RDM tasks associated with creating, processing and analysis of data vary greatly among researchers and are likely influenced by their level of research experience and RDM practices within their immediate teams.

Conclusion: Evaluating the data management practices of health and medical researchers, contextualised by tasks associated with the research data life cycle, is an effective way of shaping RDM services and support in this group. Implications: This study recognises that institutional strategies targeted at tasks associated with the creation, processing and analysis of data will strengthen researcher capacity, instil good research practice and, over time, improve health informatics and research data quality.

Item ID: 81185
Item Type: Article (Research - C1)
ISSN: 1833-3575
Keywords: academies and institutes, best practices, data collection, health information management, medical informatics, research
Copyright Information: © The Author(s) 2019
Date Deposited: 27 Nov 2023 23:45
FoR Codes: 46 INFORMATION AND COMPUTING SCIENCES > 4605 Data management and data science > 460504 Data quality @ 25%
46 INFORMATION AND COMPUTING SCIENCES > 4601 Applied computing > 460102 Applications in health @ 25%
42 HEALTH SCIENCES > 4299 Other health sciences > 429999 Other health sciences not elsewhere classified @ 50%
SEO Codes: 20 HEALTH > 2099 Other health > 209999 Other health not elsewhere classified @ 100%
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