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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."},"citation:Keyword":[{"keyword:Term":"Data on the Web Best Practices"},{"keyword:Term":"Metadata","keyword:Vocabulary":"LCSH","keyword:Vocabulary URL":"http://id.loc.gov/authorities/subjects/sh96000740"},{"keyword:Term":"European Data Portal"},{"keyword:Term":"Quality","keyword:Vocabulary":"LCSH","keyword:Vocabulary URL":"http://id.loc.gov/authorities/subjects/sh00006909"}],"citation:Contact":[{"datasetContact:Name":"Baptista, Ana Alice","datasetContact:Affiliation":"Universidade do Minho"},{"datasetContact:Name":"Morgana Andrade","datasetContact:Affiliation":"Universidade Federal do Espírito Santo"}],"Author":[{"author:Name":"Baptista, Ana Alice","author:Affiliation":"Universidade do Minho","Identifier Scheme":"ORCID","Identifier":"0000-0003-3525-0619"},{"author:Name":"Andrade, Morgana","author:Affiliation":"Universidade Federal do Espírito Santo","Identifier Scheme":"ORCID","Identifier":"0000-0002-4055-5882"},{"author:Name":"Figueiredo, Jorge","author:Affiliation":"Universidade do Minho","Identifier Scheme":"ORCID","Identifier":"0000-0001-9036-1309"},{"author:Name":"Cunha, Rafaela Oliveira da","author:Affiliation":"Universidade do Minho"}],"@id":"doi:10.34622/datarepositorium/N2P0NK","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.0","schema:datePublished":"2021-08-06","schema:name":"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","schema:dateModified":"Fri Aug 06 19:01:29 WEST 2021","schema:license":"https://creativecommons.org/publicdomain/zero/1.0/","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":false},"schema:includedInDataCatalog":"Centro de Investigação Algoritmi","ore:aggregates":[{"schema:description":"It presents an overview of the object of the research and the content of the spreadsheets.","schema:name":"Study description.txt","dvcore:restricted":false,"dvcore:directoryLabel":"Summary","schema:version":1,"dvcore:datasetVersionId":184,"@id":"doi:10.34622/datarepositorium/N2P0NK/ZPU5IT","schema:sameAs":"https://datarepositorium.uminho.pt/api/access/datafile/:persistentId?persistentId=doi:10.34622/datarepositorium/N2P0NK/ZPU5IT","@type":"ore:AggregatedResource","schema:fileFormat":"text/plain","dvcore:filesize":1519,"dvcore:storageIdentifier":"file://17b1c557b06-77c7880e29b9","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"c07e632e82005421e7d06844452f1378"}},{"schema:description":"Spreadsheet structure: In the rows of the exploratory study are the identifications of the datasets of the three categories, Government and Public Sector, Transport, and Education, Culture and Sports.  In the columns are the best practices. When the dataset under analysis meets the best practice the abbreviation \"Y\" was placed, if it has not been met, \"N\" was used, and when it was not identified, \"NI\" was used. In some BP's the abbreviation \"NA\" was used, meaning that it does not apply.","schema:name":"Table S1 - Exploratory study, Government, Transport and Education Culture Sports categories.tab","dvcore:restricted":false,"dvcore:directoryLabel":"CSV","schema:version":2,"dvcore:datasetVersionId":184,"@id":"doi:10.34622/datarepositorium/N2P0NK/H7SBPA","schema:sameAs":"https://datarepositorium.uminho.pt/api/access/datafile/:persistentId?persistentId=doi:10.34622/datarepositorium/N2P0NK/H7SBPA","@type":"ore:AggregatedResource","schema:fileFormat":"text/tab-separated-values","dvcore:filesize":12796,"dvcore:storageIdentifier":"file://17b182d7ada-a78bac379fb7","dvcore:originalFileFormat":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","dvcore:originalFormatLabel":"MS Excel Spreadsheet","dvcore:UNF":"UNF:6:1VlZuvuUQtvAJRpuKhvi9w==","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"980d8d7117bad642be01f285c22126e6"}},{"schema:description":"Spreadsheet structure: In the rows of the tables are the BPs, as well as a row of observations for each one. In the columns are the identifiers of the datasets analyzed. If the dataset in analysis observes best practice, it places the letter \" Y\". If it does not observe, it places the Letter \"N\". Some BPs were not analyzed as they were out of scope for this study. In these cases the respective cells have the value \"Does Not Apply\" (NA) ","schema:name":"Table S2 - Final study, Government category.tab","dvcore:restricted":false,"dvcore:directoryLabel":"CSV","schema:version":2,"dvcore:datasetVersionId":184,"@id":"doi:10.34622/datarepositorium/N2P0NK/NUI9QT","schema:sameAs":"https://datarepositorium.uminho.pt/api/access/datafile/:persistentId?persistentId=doi:10.34622/datarepositorium/N2P0NK/NUI9QT","@type":"ore:AggregatedResource","schema:fileFormat":"text/tab-separated-values","dvcore:filesize":19310,"dvcore:storageIdentifier":"file://17b18362be5-6804010eef61","dvcore:originalFileFormat":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","dvcore:originalFormatLabel":"MS Excel Spreadsheet","dvcore:UNF":"UNF:6:DVWnfs+TeR3I5VcBQpaE9g==","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"067ccfeef4bd2dc31b77b7e01bcb0648"}},{"schema:description":"Spreadsheet structure: In the rows of the tables are the BPs, as well as a row of observations for each one. In the columns are the identifiers of the datasets analyzed. If the dataset in analysis observes best practice, it places the letter \" Y\". If it does not observe, it places the Letter \"N\". Some BPs were not analyzed as they were out of scope for this study. In these cases the respective cells have the value \"Does Not Apply\" (NA)","schema:name":"Table S3 - Final study, Transport category - Planilha.tab","dvcore:restricted":false,"dvcore:directoryLabel":"csv","schema:version":2,"dvcore:datasetVersionId":184,"@id":"doi:10.34622/datarepositorium/N2P0NK/C1UZMJ","schema:sameAs":"https://datarepositorium.uminho.pt/api/access/datafile/:persistentId?persistentId=doi:10.34622/datarepositorium/N2P0NK/C1UZMJ","@type":"ore:AggregatedResource","schema:fileFormat":"text/tab-separated-values","dvcore:filesize":18170,"dvcore:storageIdentifier":"file://17b1c9585df-222438bbe027","dvcore:originalFileFormat":"text/csv","dvcore:originalFormatLabel":"Comma Separated Values","dvcore:UNF":"UNF:6:grCp25OBD3EPXCmbBYelPQ==","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"f4baa70878d349200c4570a4d5d415af"}},{"schema:description":"Spreadsheet structure: In the rows of the tables are the BPs, as well as a row of observations for each one. 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