Sharing real-world data for public benefit: a qualitative exploration of stakeholder views and perceptions

Baxter, S. orcid.org/0000-0002-6034-5495, Franklin, M. orcid.org/0000-0002-2774-9439, Haywood, A. orcid.org/0000-0002-5824-3043 et al. (4 more authors) (2023) Sharing real-world data for public benefit: a qualitative exploration of stakeholder views and perceptions. BMC Public Health, 23 (1). 133.

Abstract

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Copyright, Publisher and Additional Information: © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Keywords: Data sharing; Real world data; Public health; Routine data; Information governance; Integrated care; Qualitative
Dates:
  • Accepted: 12 January 2023
  • Published (online): 19 January 2023
  • Published: December 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research
Depositing User: Symplectic Sheffield
Date Deposited: 24 Jan 2023 11:30
Last Modified: 24 Jan 2023 11:30
Published Version: http://dx.doi.org/10.1186/s12889-023-15035-w
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: https://doi.org/10.1186/s12889-023-15035-w
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