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The social licence for data-intensive health research: towards co-creation, public value and trust

BACKGROUND: The rise of Big Data-driven health research challenges the assumed contribution of medical research to the public good, raising questions about whether the status of such research as a common good should be taken for granted, and how public trust can be preserved. Scandals arising out of...

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Autores principales: Muller, Sam H. A., Kalkman, Shona, van Thiel, Ghislaine J. M. W., Mostert, Menno, van Delden, Johannes J. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353823/
https://www.ncbi.nlm.nih.gov/pubmed/34376204
http://dx.doi.org/10.1186/s12910-021-00677-5
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author Muller, Sam H. A.
Kalkman, Shona
van Thiel, Ghislaine J. M. W.
Mostert, Menno
van Delden, Johannes J. M.
author_facet Muller, Sam H. A.
Kalkman, Shona
van Thiel, Ghislaine J. M. W.
Mostert, Menno
van Delden, Johannes J. M.
author_sort Muller, Sam H. A.
collection PubMed
description BACKGROUND: The rise of Big Data-driven health research challenges the assumed contribution of medical research to the public good, raising questions about whether the status of such research as a common good should be taken for granted, and how public trust can be preserved. Scandals arising out of sharing data during medical research have pointed out that going beyond the requirements of law may be necessary for sustaining trust in data-intensive health research. We propose building upon the use of a social licence for achieving such ethical governance. MAIN TEXT: We performed a narrative review of the social licence as presented in the biomedical literature. We used a systematic search and selection process, followed by a critical conceptual analysis. The systematic search resulted in nine publications. Our conceptual analysis aims to clarify how societal permission can be granted to health research projects which rely upon the reuse and/or linkage of health data. These activities may be morally demanding. For these types of activities, a moral legitimation, beyond the limits of law, may need to be sought in order to preserve trust. Our analysis indicates that a social licence encourages us to recognise a broad range of stakeholder interests and perspectives in data-intensive health research. This is especially true for patients contributing data. Incorporating such a practice paves the way towards an ethical governance, based upon trust. Public engagement that involves patients from the start is called for to strengthen this social licence. CONCLUSIONS: There are several merits to using the concept of social licence as a guideline for ethical governance. Firstly, it fits the novel scale of data-related risks; secondly, it focuses attention on trustworthiness; and finally, it offers co-creation as a way forward. Greater trust can be achieved in the governance of data-intensive health research by highlighting strategic dialogue with both patients contributing the data, and the public in general. This should ultimately contribute to a more ethical practice of governance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12910-021-00677-5.
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spelling pubmed-83538232021-08-10 The social licence for data-intensive health research: towards co-creation, public value and trust Muller, Sam H. A. Kalkman, Shona van Thiel, Ghislaine J. M. W. Mostert, Menno van Delden, Johannes J. M. BMC Med Ethics Debate BACKGROUND: The rise of Big Data-driven health research challenges the assumed contribution of medical research to the public good, raising questions about whether the status of such research as a common good should be taken for granted, and how public trust can be preserved. Scandals arising out of sharing data during medical research have pointed out that going beyond the requirements of law may be necessary for sustaining trust in data-intensive health research. We propose building upon the use of a social licence for achieving such ethical governance. MAIN TEXT: We performed a narrative review of the social licence as presented in the biomedical literature. We used a systematic search and selection process, followed by a critical conceptual analysis. The systematic search resulted in nine publications. Our conceptual analysis aims to clarify how societal permission can be granted to health research projects which rely upon the reuse and/or linkage of health data. These activities may be morally demanding. For these types of activities, a moral legitimation, beyond the limits of law, may need to be sought in order to preserve trust. Our analysis indicates that a social licence encourages us to recognise a broad range of stakeholder interests and perspectives in data-intensive health research. This is especially true for patients contributing data. Incorporating such a practice paves the way towards an ethical governance, based upon trust. Public engagement that involves patients from the start is called for to strengthen this social licence. CONCLUSIONS: There are several merits to using the concept of social licence as a guideline for ethical governance. Firstly, it fits the novel scale of data-related risks; secondly, it focuses attention on trustworthiness; and finally, it offers co-creation as a way forward. Greater trust can be achieved in the governance of data-intensive health research by highlighting strategic dialogue with both patients contributing the data, and the public in general. This should ultimately contribute to a more ethical practice of governance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12910-021-00677-5. BioMed Central 2021-08-10 /pmc/articles/PMC8353823/ /pubmed/34376204 http://dx.doi.org/10.1186/s12910-021-00677-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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.
spellingShingle Debate
Muller, Sam H. A.
Kalkman, Shona
van Thiel, Ghislaine J. M. W.
Mostert, Menno
van Delden, Johannes J. M.
The social licence for data-intensive health research: towards co-creation, public value and trust
title The social licence for data-intensive health research: towards co-creation, public value and trust
title_full The social licence for data-intensive health research: towards co-creation, public value and trust
title_fullStr The social licence for data-intensive health research: towards co-creation, public value and trust
title_full_unstemmed The social licence for data-intensive health research: towards co-creation, public value and trust
title_short The social licence for data-intensive health research: towards co-creation, public value and trust
title_sort social licence for data-intensive health research: towards co-creation, public value and trust
topic Debate
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353823/
https://www.ncbi.nlm.nih.gov/pubmed/34376204
http://dx.doi.org/10.1186/s12910-021-00677-5
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