Semantic, Technical and Legal Interoperability of European Company Open Data in Practice: The STIRData Approach
| Autoři | |
|---|---|
| Rok publikování | 2023 |
| Druh | Článek ve sborníku |
| Konference | Proceedings of the 12th International Conference on Data Science, Technology and Applications |
| Fakulta / Pracoviště MU | |
| Citace | |
| www | Open access sborníku |
| Doi | http://dx.doi.org/10.5220/0000168100003541 |
| Klíčová slova | Interoperability;Linked Data;Open Data;Data Spaces;High-Value Datasets (HVDs);Company Data |
| Popis | As part of the Open Data Directive, the European Commission has published a list of high-value datasets (HVDs) that public sector bodies must make available as open data. The list also contains specific data items that must be included in these datasets. However, it does not prescribe any technical means of how the data should be published, severely hindering the interoperability of the datasets once they are published. One of the HVD topics is company data. In this practice report paper, we present results of STIRData, a project co-financed by the Connecting Europe Facility Programme of the European Union, focusing on technical, semantic, and legal interoperability of open data from business registries, covering the company data HVDs topic. The results include a data architecture and a data specification to make the published data technically and semantically interoperable, and legal interoperability guidelines to ensure legal interoperability of the published data. Moreover, proof- of-concept transformations of data from selected European business registries are shown using open source tools and according to the specification. Finally, a user-orientated platform for browsing and analysing the data is presented as an example of the possibilities of using the data published in an interoperable way. |
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