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      Open Government Data: Usage trends and metadata quality

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      Journal of Information Science
      SAGE Publications

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          Abstract

          Open Government Data (OGD) have the potential to support social and economic progress. However, this potential can be frustrated if these data remain unused. Although the literature suggests that OGD data sets’ metadata quality is one of the main factors affecting their use, to the best of our knowledge, no quantitative study provided evidence of this relationship. Considering about 400,000 data sets of 28 national, municipal and international OGD portals, we have programmatically analysed their usage, their metadata quality and the relationship between the two. Our analysis has highlighted three main findings. First, regardless of their size, the software platform adopted, and their administrative and territorial coverage, most OGD data sets are underutilised. Second, OGD portals pay varying attention to the quality of their data sets’ metadata. Third, we did not find clear evidence that data sets’ usage is positively correlated to better metadata publishing practices. Finally, we have considered other factors, such as data sets’ category, and some demographic characteristics of the OGD portals, and analysed their relationship with data sets’ usage, obtaining partially affirmative answers.

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          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.
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            Benefits, Adoption Barriers and Myths of Open Data and Open Government

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              Beyond Accuracy: What Data Quality Means to Data Consumers

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Journal of Information Science
                Journal of Information Science
                SAGE Publications
                0165-5515
                1741-6485
                August 2023
                October 07 2021
                August 2023
                : 49
                : 4
                : 887-910
                Affiliations
                [1 ]Institute of Applied Mathematics and Information Technologies Enrico Magenes – National Research Council, Italy
                Article
                10.1177/01655515211027775
                f42e3f00-149e-4e3b-bddb-54b12e39e4d4
                © 2023

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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