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      Open health data: Mapping the ecosystem

      research-article
      1 , 2 , 1
      Digital Health
      SAGE Publications
      Health data, open data, government portals, ecosystem, case study

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          Abstract

          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.

          Related collections

          Most cited references54

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          The FAIR Guiding Principles for scientific data management and stewardship

          There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Big data analytics in healthcare: promise and potential

            Objective To describe the promise and potential of big data analytics in healthcare. Methods The paper describes the nascent field of big data analytics in healthcare, discusses the benefits, outlines an architectural framework and methodology, describes examples reported in the literature, briefly discusses the challenges, and offers conclusions. Results The paper provides a broad overview of big data analytics for healthcare researchers and practitioners. Conclusions Big data analytics in healthcare is evolving into a promising field for providing insight from very large data sets and improving outcomes while reducing costs. Its potential is great; however there remain challenges to overcome.
              • Record: found
              • Abstract: not found
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              Benefits, Adoption Barriers and Myths of Open Data and Open Government

                Author and article information

                Journal
                Digit Health
                Digit Health
                DHJ
                spdhj
                Digital Health
                SAGE Publications (Sage UK: London, England )
                2055-2076
                10 November 2021
                Jan-Dec 2021
                : 7
                : 20552076211050167
                Affiliations
                [1 ]Ringgold 26657, universityKU Leuven Public Governance Institute; , Leuven, Belgium
                [2 ]Ringgold 54513, universitySciensano; , Brussels, Belgium
                Author notes
                [*]Roel Heijlen, KU Leuven Public Goverance Institute, Parkstraat 45 3000 Leuven, Belgium. Email: roel.heijlen@ 123456kuleuven.be
                Author information
                https://orcid.org/0000-0001-8653-3139
                Article
                10.1177_20552076211050167
                10.1177/20552076211050167
                8586169
                34777853
                8b10e1a5-8d61-4e57-851c-607b2fb9899f
                © The Author(s) 2021

                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).

                History
                : 14 October 2019
                : 10 September 2021
                Categories
                Original Research
                Custom metadata
                ts19
                January-December 2021

                health data,open data,government portals,ecosystem,case study

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