Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/74383

TítuloDo the european data portal datasets in the categories government and public sector, transport and education, culture and sport meet the data on the web best practices?
Autor(es)Andrade, Morgana Carneiro
Cunha, Rafaela Oliveira da
Figueiredo, Jorge
Baptista, Ana Alice
Palavras-chaveData on the Web Best Practices
Data Quality
European Data Portal
Government open data
Data19-Ago-2021
EditoraMultidisciplinary Digital Publishing Institute
RevistaData
CitaçãoAndrade MC, Cunha ROd, Figueiredo J, Baptista AA. Do the European Data Portal Datasets in the Categories Government and Public Sector, Transport and Education, Culture and Sport Meet the Data on the Web Best Practices? Data. 2021; 6(8):94. https://doi.org/10.3390/data6080094
Resumo(s)The European Data Portal is one of the worldwide initiatives that aggregates and make open data available. This is a case study with a qualitative approach that aims to determine to what extent the datasets from the Government and Public Sector, Transport, and Education, Culture and Sport categories published on the portal meet the Data on the Web Best Practices (W3C). With the datasets sorted by last modified and filtered by the ratings Excellent and Good+, we analyzed 50 different datasets from each category. The analysis revealed that the Government and Transport categories have the best-rated datasets, followed by Transportation and, lastly, Education. This analysis revealed that the Government and Transport categories have the best-rated datasets and Education the least. The most observed BPs 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. These results fill a gap in the literature on the quality of the data made available by this portal and provide insights for European data managers on which best practices are most observed and which ones need more attention.
TipoArtigo
DescriçãoThis work resulted in the creation of datasets which is available at https://doi.org/10.34622/datarepositorium/N2P0NK, as per the CC0—“Public Domain Dedication” License, accessed on 6 August 2021.
URIhttps://hdl.handle.net/1822/74383
DOI10.3390/data6080094
e-ISSN2306-5729
Versão da editorahttps://www.mdpi.com/2306-5729/6/8/94
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals
DMA - Artigos (Papers)

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Este trabalho está licenciado sob uma Licença Creative Commons Creative Commons

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