Towards a Standard-based Open Data Ecosystem: Analysis of DCAT-AP use at National and European Level

Open data provide great potential for society, for example, in the field of smart cities, from which all citizens might profit. The trust of these citizens is important for the integration of various data, like sensitive user data, into an open data ecosystem. In the following study, we analyzed whether transparency about the application of open data promotes trust. Furthermore, we formulated guidelines on how to create transparency regarding open data in an ethical way. Using an open-data-based fictitious smart city app, we conducted an experiment analyzing to what extent communication of the technical open data application process and the ethical self-commitment for the transparent communication of data application affect trust in the app’s provider. The results indicate that the more information users obtain regarding the use of open data, the more trustworthy they perceive the app provider to be, and the more likely they are to use the app.

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A tipping point for open citation data

Quantitative Science Studies ◽

10.1162/qss_c_00138 ◽

2021 ◽

pp. 1-5

Author(s):

B. Ian Hutchins

Keyword(s):

Open Data ◽

Policy Decision ◽

Public Domain ◽

Relative Advantage ◽

Irreversible Change ◽

Citation Data ◽

Commercial Activity ◽

Policy Decision Making ◽

Data Ecosystem ◽

Citation Databases

Abstract Open citation data can improve the transparency and robustness of scientific portfolio analysis, improve science policy decision-making, stimulate downstream commercial activity, and increase the discoverability of scientific articles. Once sparsely populated, public-domain citation databases crossed a threshold of one billion citations in February 2021. Shortly thereafter, the threshold of one billion public domain citations from the Crossref database alone was crossed. As the relative advantage of withholding data in closed databases has diminished with the flood of public domain data, this likely constitutes an irreversible change in the citation data ecosystem. The successes of this movement can guide future open data efforts.

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How to assess the success of the open data ecosystem?

International Journal of Digital Earth ◽

10.1080/17538947.2016.1224938 ◽

2016 ◽

Vol 10 (3) ◽

pp. 284-306 ◽

Cited By ~ 34

Author(s):

Frederika Welle Donker ◽

Bastiaan van Loenen

Keyword(s):

Open Data ◽

Data Ecosystem

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Open health data: Mapping the ecosystem

Digital Health ◽

10.1177/20552076211050167 ◽

2021 ◽

Vol 7 ◽

pp. 205520762110501

Author(s):

Roel Heijlen ◽

Joep Crompvoets

Keyword(s):

Open Data ◽

Health Data ◽

Theoretical Development ◽

Future Research ◽

Data Mapping ◽

Vaccination Rates ◽

Policy Domain ◽

Open Government Data ◽

The Government ◽

Data 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 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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Open Data Intermediaries in Developing Countries

The Journal of Community Informatics ◽

10.15353/joci.v12i2.3219 ◽

2016 ◽

Vol 12 (2) ◽

Cited By ~ 2

Author(s):

Francois Van Schalkwyk ◽

Michael Canares ◽

Sumandro Chattapdhyay ◽

Alexander Andrason

Keyword(s):

Developing Countries ◽

Supply Chain ◽

Open Data ◽

Secondary Data ◽

Theoretical Framework ◽

Social Model ◽

Multiple Forms ◽

Working Definition ◽

Data Ecosystem ◽

Definition Of

This paper offers a more socially nuanced approach to open data intermediaries using the theoretical framework of Bourdieu’s social model, particularly his species of capital. Secondary data on intermediaries from Emerging Impacts of Open Data in Developing Countries research was analysed according to a working definition of an open data intermediary presented in this paper, and with a focus on how intermediaries are able to linking agents in an open data supply chain, including to grassroots communities. The study found that open data supply chains may comprise multiple intermediaries and that multiple forms of capital may be required to connect the supply and use of open data. The effectiveness of intermediaries can be attributed to their proximity to data suppliers or users, and proximity can be expressed as a function of the type of capital that an intermediary possesses. However, because no single intermediary necessarily has all the capital available to link effectively to all sources of power in a field, multiple intermediaries with complementary configurations of capital are more likely to connect between power nexuses. This study concludes that consideration needs to be given to the presence of multiple intermediaries in an open data ecosystem, each of whom may possess different forms of capital to enable the use of open data.

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Faculty Opinions recommendation of Enabling an open data ecosystem for the neurosciences.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.726922969.793525314 ◽

2016 ◽

Author(s):

Mario Manto ◽

Florian Bodranghien

Keyword(s):

Open Data ◽

Data Ecosystem

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Business Roles in the Emerging Open-Data Ecosystem

IEEE Software ◽

10.1109/ms.2015.25 ◽

2016 ◽

Vol 33 (5) ◽

pp. 54-59 ◽

Cited By ~ 13

Author(s):

Juho Lindman ◽

Tomi Kinnari ◽

Matti Rossi

Keyword(s):

Open Data ◽

Data Ecosystem

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From Toddler to Teen: Growth of an Open Data Ecosystem – A longitudinal analysis of Open Data developments in the UK

JeDEM - eJournal of eDemocracy and Open Government ◽

10.29379/jedem.v6i2.280 ◽

2014 ◽

Vol 6 (2) ◽

Cited By ~ 6

Author(s):

Maximilian Heimstädt ◽

Fredric Saunderson ◽

Tom Heath

Keyword(s):

Content Analysis ◽

Discourse Analysis ◽

Longitudinal Analysis ◽

Empirical Data ◽

Best Practice ◽

Open Data ◽

Business Ecosystem ◽

Data Ecosystem ◽

The Uk ◽

Depth Interviews

In this paper, we conceptualize Open Data ecosystems by analysing the major stakeholders in the UK. The conceptualization is based on a review of popular Open Data definitions and business ecosystem theories, which we applied to qualitative empirical data. Our work is informed by a combination of discourse analysis and a content analysis of in-depth interviews, undertaken during the summer of 2013. Drawing on the UK as a best practice example, we examine a set of structural business ecosystem properties: circular flow of resources, sustainability, demand that encourages supply, and dependence developing between suppliers, intermediaries, and users. We identify that gaps and shortcomings remain. Most prominently, demand is not yet fully encouraging supply and actors have yet to experience fully mutual interdependence.

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Model Inovasi Kolaboratif dalam Implementasi Program Open Data: Tantangan dan Manfaatnya bagi Publik

Jurnal Administrasi Publik Public Administration Journal ◽

10.31289/jap.v9i1.2150 ◽

2019 ◽

Vol 9 (1) ◽

pp. 9

Author(s):

Anne Friday Safaria ◽

Ida Widianingsih ◽

Entang Adhy Muhtar ◽

Ira Irawati

Keyword(s):

Information Dissemination ◽

Innovation Management ◽

Open Data ◽

Public Information ◽

City Government ◽

Regional Government ◽

The Public ◽

Government Work ◽

Initiation Stage ◽

Data Ecosystem

Open Data (OD) is data that is publicly available and free for anyone to use, reuse and redistribute. The Bandung City Government is the first municipality government in Indonesia to implement OD programs as a form of public service in the digital era. Although E-government practices have been applied to public services provided by various Central and Regional government agencies in Indonesia, in general there are still obstacles related to the extent to which the data can be accessed and used-reused by the public for various purposes. The study conducted in the Bandung Municipality Government was directed at efforts to find an effective OD innovation management model in the public sector by using qualitative methods with a case study strategy. Based on field findings, the OD program carried out at the Bandung Government is a collaboration of multiple actors and stakeholders (communities, private sector, NGOs) starting from the initiation stage up to its implementation. In this case, the Bandung City Government together with the various parties involved built an Open Data ecosystem that aims to produce credible data for decision making, and create a more transparent and accountable government. The implementation of this program has not been fully effective because the implementation has not been optimally integrated in Public Information Services (LIP). This has implications for the mechanism of unclear and non-smooth coordination and communication between fields and between Regional Government Work Units (SKPD) which are responsible for implementing OD and LIP. The stuation raises different views on the selection and display of data published (information dissemination).

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