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    <identifier identifierType="DOI">10.34622/datarepositorium/N2P0NK</identifier>
    <creators><creator><creatorName>Baptista, Ana Alice</creatorName><nameIdentifier schemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0003-3525-0619</nameIdentifier><affiliation>(Universidade do Minho)</affiliation></creator><creator><creatorName>Andrade, Morgana</creatorName><nameIdentifier schemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0002-4055-5882</nameIdentifier><affiliation>(Universidade Federal do Espírito Santo)</affiliation></creator><creator><creatorName>Figueiredo, Jorge</creatorName><nameIdentifier schemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0001-9036-1309</nameIdentifier><affiliation>(Universidade do Minho)</affiliation></creator><creator><creatorName>Cunha, Rafaela Oliveira da</creatorName><affiliation>(Universidade do Minho)</affiliation></creator></creators>
    <titles>
        <title>Analysis of the categories Government and Public Services; Transport and Education, Culture and Sport of the European Data Portal from the perspective of Data on the Web Best Practices</title>
    </titles>
    <publisher>Repositório de Dados da Universidade do Minho</publisher>
    <publicationYear>2021</publicationYear>
    <resourceType resourceTypeGeneral="Dataset"/>
    <relatedIdentifiers><relatedIdentifier relatedIdentifierType="DOI" relationType="HasPart">doi:10.34622/datarepositorium/N2P0NK/H7SBPA</relatedIdentifier><relatedIdentifier relatedIdentifierType="DOI" relationType="HasPart">doi:10.34622/datarepositorium/N2P0NK/NUI9QT</relatedIdentifier><relatedIdentifier relatedIdentifierType="DOI" relationType="HasPart">doi:10.34622/datarepositorium/N2P0NK/ZPU5IT</relatedIdentifier><relatedIdentifier relatedIdentifierType="DOI" relationType="HasPart">doi:10.34622/datarepositorium/N2P0NK/C1UZMJ</relatedIdentifier><relatedIdentifier relatedIdentifierType="DOI" relationType="HasPart">doi:10.34622/datarepositorium/N2P0NK/6SY7FU</relatedIdentifier></relatedIdentifiers>
    <descriptions>
        <description descriptionType="Abstract">It presents the data obtained from the study that aimed to determine to what extent the datasets of Government and Public Sector, Transport and Education, Culture and Sport published on the European Data Portal correspond to the Web Best Practice (W3C) Data. A total of 150 datasets were analyzed. This analysis revealed that the Government and Transports categories have the best-rated datasets, and, lastly, the Education. The most observed BP's were: BP1, BP2, BP4, BP5, BP10, BP11, BP12, BP13C, BP16, BP17, BP19, BP29, and BP34, while the least observed were: BP3, BP7H, BP7C, BP13H, BP14, BP15, BP21, BP32, and BP35.</description>
    </descriptions>
    <contributors><contributor contributorType="ContactPerson"><contributorName>Baptista, Ana Alice</contributorName><affiliation>(Universidade do Minho)</affiliation></contributor><contributor contributorType="ContactPerson"><contributorName>Morgana Andrade</contributorName><affiliation>(Universidade Federal do Espírito Santo)</affiliation></contributor></contributors>
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