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?
| Autor: | Jorge Figueiredo, Ana Alice Baptista, Rafaela Oliveira da Cunha, Morgana Carneiro de Andrade |
|---|---|
| Přispěvatelé: | Universidade do Minho |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Information Systems and Management
010504 meteorology & atmospheric sciences media_common.quotation_subject Best practice 01 natural sciences Bibliography. Library science. Information resources World Wide Web 03 medical and health sciences European Data Portal government open data data quality Quality (business) Data Quality 030304 developmental biology 0105 earth and related environmental sciences media_common 0303 health sciences Government Science & Technology business.industry Public sector Ciências Naturais::Ciências da Computação e da Informação Computer Science Applications Data portal Open data Government open data Data quality Data on the Web Best Practices Ciências da Computação e da Informação [Ciências Naturais] business Information Systems |
| Zdroj: | Data, Vol 6, Iss 94, p 94 (2021) Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
| ISSN: | 2306-5729 |
| Popis: | This 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. 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. |
| Databáze: | OpenAIRE |
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