Krahe, Michelle A., Wolski, Malcolm, Mickan, Sharon, Toohey, Julie, Scuffham, Paul, and Reilly, Sheena (2023) Developing a strategy to improve data sharing in health research: A mixed-methods study to identify barriers and facilitators. Health Information Management Journal, 52 (1). pp. 18-27.

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Abstract

Background: Data sharing presents new opportunities across the spectrum of research and is vital for science that is open, where data are easily discoverable, accessible, intelligible, reproducible, replicable and verifiable. Despite this, it is yet to become common practice. Global efforts to develop practical guidance for data sharing and open access initiatives are underway, however evidence-based studies to inform the development and implementation of effective strategies are lacking.

Objective: This study sought to determine the barriers and facilitators to data sharing among health researchers and to identify the target behaviours for designing a behaviour change intervention strategy.

Method: Data were drawn from a cross-sectional survey of data management practices among health researchers from one Australian research institute. Determinants of behaviour were theoretically derived using well-established behavioural models.

Results: Data sharing practices have been described for 77 researchers, and 6 barriers and 4 facilitators identified. The primary barriers to data sharing included perceived negative consequences and lack of competency to share data. The primary facilitators to data sharing included trust in others using the data and social influence related to public benefit. Intervention functions likely to be most effective at changing target behaviours were also identified.

Conclusion: Results of this study provide a theoretical and evidence-based process to understand the behavioural barriers and facilitators of data sharing among health researchers.

Implications: Designing interventions that specifically address target behaviours to promote data sharing are important for open researcher practices.

Item ID:	81163
Item Type:	Article (Research - C1)
ISSN:	1833-3575
Copyright Information:	© The Author(s) 2020
Date Deposited:	05 Dec 2023 02:33
FoR Codes:	46 INFORMATION AND COMPUTING SCIENCES > 4605 Data management and data science > 460599 Data management and data science not elsewhere classified @ 50% 46 INFORMATION AND COMPUTING SCIENCES > 4601 Applied computing > 460102 Applications in health @ 50%
SEO Codes:	20 HEALTH > 2099 Other health > 209999 Other health not elsewhere classified @ 50% 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280115 Expanding knowledge in the information and computing sciences @ 50%
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