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It supports the harmonization and interoperability of Open Data by providing an expressive set of properties, guidelines, and reusable vocabularies. However, a qualitative and accurate implementation by Open Data providers remains challenging. To improve the informative value and the compliance with RDF-based specifications, we propose a methodology to measure and assess the quality of DCAT-AP datasets. Our approach is based on the FAIR and the 5-star principles for Linked Open Data. We define a set of metrics, where each one covers a specific quality aspect. For example, if a certain property has a compliant value, if mandatory vocabularies are applied or if the actual data is available. The values for the metrics are stored as a custom data model based on the Data Quality Vocabulary and is used to calculate an overall quality score for each dataset. We implemented our approach as a scalable and reusable Open Source solution to demonstrate its feasibility. It is applied in a large-scale production environment (data.europa.eu) and constantly checks more than 1.6 million DCAT-AP datasets and delivers quality reports.<\/jats:p>","DOI":"10.1007\/978-3-031-41138-0_17","type":"book-chapter","created":{"date-parts":[[2023,8,19]],"date-time":"2023-08-19T10:07:17Z","timestamp":1692439637000},"page":"262-278","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["An Extensive Methodology and\u00a0Framework for\u00a0Quality Assessment of\u00a0DCAT-AP Datasets"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9218-5676","authenticated-orcid":false,"given":"Bianca","family":"Wentzel","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9064-2546","authenticated-orcid":false,"given":"Fabian","family":"Kirstein","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0004-4216-5425","authenticated-orcid":false,"given":"Torben","family":"Jastrow","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0002-8946-3775","authenticated-orcid":false,"given":"Raphael","family":"Sturm","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4669-4508","authenticated-orcid":false,"given":"Michael","family":"Peters","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8786-7250","authenticated-orcid":false,"given":"Sonja","family":"Schimmler","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,8,20]]},"reference":[{"key":"17_CR1","unstructured":"European Commission: About DCAT application profile for data portals in Europe $$|$$ Joinup (2021). https:\/\/joinup.ec.europa.eu\/solution\/dcat-application-profile-data-portals-europe\/about"},{"key":"17_CR2","doi-asserted-by":"publisher","unstructured":"Devaraju, A., Huber, R.: F-UJI - an automated FAIR data assessment tool (2020). https:\/\/doi.org\/10.5281\/zenodo.4063720","DOI":"10.5281\/zenodo.4063720"},{"key":"17_CR3","doi-asserted-by":"publisher","unstructured":"Devaraju, A., Huber, R.: F-UJI : An Automated Assessment Tool for Improving the FAIRness of Research Data (2020). https:\/\/doi.org\/10.5281\/zenodo.4068347","DOI":"10.5281\/zenodo.4068347"},{"key":"17_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"648","DOI":"10.1007\/978-3-030-49461-2_38","volume-title":"The Semantic Web","author":"F Kirstein","year":"2020","unstructured":"Kirstein, F., Stefanidis, K., Dittwald, B., Dutkowski, S., Urbanek, S., Hauswirth, M.: Piveau: a large-scale open data management platform based on semantic web technologies. 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