PUMA publications for /group/researchcode/openDataTue Jun 18 17:33:53 CEST 2024Journal of Information Science4887-910Open Government Data: Usage trends and metadata quality492023forschungsdaten metadata governmentalData usage openData quality 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. Tue Jun 18 17:20:02 CEST 2024New York, NY, USAJ. Data and Information Quality101Automated Quality Assessment of Metadata across Open Data Portals82016forschungsdaten opendata metadata metrics quality The Open Data movement has become a driver for publicly available data on the Web. More and more data—from governments and public institutions but also from the private sector—are made available online and are mainly published in so-called Open Data portals. However, with the increasing number of published resources, there is a number of concerns with regards to the quality of the data sources and the corresponding metadata, which compromise the searchability, discoverability, and usability of resources.In order to get a more complete picture of the severity of these issues, the present work aims at developing a generic metadata quality assessment framework for various Open Data portals: We treat data portals independently from the portal software frameworks by mapping the specific metadata of three widely used portal software frameworks (CKAN, Socrata, OpenDataSoft) to the standardized Data Catalog Vocabulary metadata schema. We subsequently define several quality metrics, which can be evaluated automatically and in an efficient manner. Finally, we report findings based on monitoring a set of over 260 Open Data portals with 1.1M datasets. This includes the discussion of general quality issues, for example, the retrievability of data, and the analysis of our specific quality metrics.Tue Jun 18 15:45:22 CEST 2024IEEE Access60364-60382Quality of Metadata in Open Data Portals92021opendata metadata quality Fri Dec 02 09:58:48 CET 2022Open Data operationalisieren - Erfahrungen mit der Formulierung überprüfbarer Kriterien2022forschungsdaten opendata metrics