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Open health data: Mapping the ecosystem

BACKGROUND: Governments around the world own multiple datasets related to the policy domain of health. Datasets range from vaccination rates to the availability of health care practitioners in a region to the outcomes of certain surgeries. Health is believed to be a promising subject in the case of...

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Autores principales: Heijlen, Roel, Crompvoets, Joep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586169/
https://www.ncbi.nlm.nih.gov/pubmed/34777853
http://dx.doi.org/10.1177/20552076211050167
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author Heijlen, Roel
Crompvoets, Joep
author_facet Heijlen, Roel
Crompvoets, Joep
author_sort Heijlen, Roel
collection PubMed
description BACKGROUND: Governments around the world own multiple datasets related to the policy domain of health. Datasets range from vaccination rates to the availability of health care practitioners in a region to the outcomes of certain surgeries. Health is believed to be a promising subject in the case of open government data policies. However, the specific properties of health data such as its sensibilities regarding privacy, ethics, and ownership encompass particular conditions either enabling or preventing datasets to become freely and easily accessible for everyone. OBJECTIVE AND METHODS: This paper aims to map the ecosystem of open health data. By analyzing the foundations of health data and the commonalities of open data ecosystems via literature analysis, the socio-technical environment in which health data managed by governments are opened up or potentially stay closed is created. After its theoretical development, the open health data ecosystem is tested via a case study concerning the Data for Better Health initiative from the government of Belgium. RESULTS: Creation and assessment of an open health data ecosystem consisting of stakeholders, interests, information policies, and data preparation activities. CONCLUSIONS: The policy domain of health includes de-identification activities, bioethical assessments, and the specific role of data providers within its open data ecosystem. However, the concept of open data does not always fully apply to the topic of health. Such several health datasets may be findable via government portals but not directly accessible. Differentiation within types of health data and data user capacities are recommendable for future research.
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spelling pubmed-85861692021-11-13 Open health data: Mapping the ecosystem Heijlen, Roel Crompvoets, Joep Digit Health Original Research BACKGROUND: Governments around the world own multiple datasets related to the policy domain of health. Datasets range from vaccination rates to the availability of health care practitioners in a region to the outcomes of certain surgeries. Health is believed to be a promising subject in the case of open government data policies. However, the specific properties of health data such as its sensibilities regarding privacy, ethics, and ownership encompass particular conditions either enabling or preventing datasets to become freely and easily accessible for everyone. OBJECTIVE AND METHODS: This paper aims to map the ecosystem of open health data. By analyzing the foundations of health data and the commonalities of open data ecosystems via literature analysis, the socio-technical environment in which health data managed by governments are opened up or potentially stay closed is created. After its theoretical development, the open health data ecosystem is tested via a case study concerning the Data for Better Health initiative from the government of Belgium. RESULTS: Creation and assessment of an open health data ecosystem consisting of stakeholders, interests, information policies, and data preparation activities. CONCLUSIONS: The policy domain of health includes de-identification activities, bioethical assessments, and the specific role of data providers within its open data ecosystem. However, the concept of open data does not always fully apply to the topic of health. Such several health datasets may be findable via government portals but not directly accessible. Differentiation within types of health data and data user capacities are recommendable for future research. SAGE Publications 2021-11-10 /pmc/articles/PMC8586169/ /pubmed/34777853 http://dx.doi.org/10.1177/20552076211050167 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Heijlen, Roel
Crompvoets, Joep
Open health data: Mapping the ecosystem
title Open health data: Mapping the ecosystem
title_full Open health data: Mapping the ecosystem
title_fullStr Open health data: Mapping the ecosystem
title_full_unstemmed Open health data: Mapping the ecosystem
title_short Open health data: Mapping the ecosystem
title_sort open health data: mapping the ecosystem
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586169/
https://www.ncbi.nlm.nih.gov/pubmed/34777853
http://dx.doi.org/10.1177/20552076211050167
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