Barreiras de interoperabilidade em portais de DGA: uma camada de abstração para acesso unificado
Resumo
A disponibilidade de dados governamentais abertos ampliou as oportunidades de transparência e serviços públicos orientados por dados, mas sua reutilização efetiva permanece limitada devido a barreiras de interoperabilidade entre portais heterogêneos. Este trabalho investiga essas barreiras por meio de uma Revisão Rápida da Literatura e propõe a Hlib, uma camada de interoperabilidade programática baseada em Python para acesso unificado a dados. Uma avaliação empírica envolvendo 14 portais nacionais revelou que apenas 10 puderam ser integrados com sucesso, evidenciando inconsistências em APIs, metadados e capacidades de consulta. A Hlib aborda essas questões abstraindo as diferenças específicas de cada portal e permitindo a recuperação unificada e assíncrona de dados. Os resultados demonstram que os desafios de interoperabilidade são persistentes e concretos, reforçando a necessidade de abstração programática para suportar aplicações avançadas, incluindo sistemas baseados em IA.
Referências
Akatkin, Y. and Yasinovskaya, E. (2020). Data-Driven Government in Russia: Linked Open Data Challenges, Opportunities, Solutions, pages 245–257. Springer.
Barcellos, R., Bernardini, F., Viterbo, J., and Zuiderwijk, A. (2023). Hippolyta: a framework to enhance open data interpretability and empower citizens. In Proceedings of the 24th Annual International Conference on Digital Government Research, DGO ’23. ACM.
Barcellos, R., Bernardini, F., Zuiderwijk, A., and Viterbo, J. (2024). Exploring interpretability in open government data with ChatGPT. In Proceedings of the 25th Annual International Conference on Digital Government Research, DGO ’24. ACM.
Beluzo, J., Dias, B., Craveiro, G., and Araujo, R. (2021). Re-public: workflow to publish and reuse linked open government data. In Anais do XVII Simpósio Brasileiro de Sistemas de Informação.
Beluzo, J. R. (2015). IDEO – integrador de dados da execução orçamentária brasileira: Um estudo de caso da integração de dados das receitas e despesas nas esferas federal, estadual – governo de são paulo, e municipal – municípios do estado de são paulo. Dissertação de mestrado em ciências – programa de pós-graduação em sistemas de informação, Escola de Artes, Ciências e Humanidades, Universidade de São Paulo, São Paulo, Brazil. Orientadora: Profa. Dra. Gisele da Silva Craveiro.
Ciancarini, P., Giancarlo, R., and Grimaudo, G. (2024). Digital transformation in the public administrations: A guided tour for computer scientists. IEEE Access, 12:22841–22865.
Diniz, P. H., Reis, L. P., and Cardoso, H. L. (2025). E-government systems to improve citizen-to-public administration communication: A literature review. Digital Government: Research and Practice, 6(4).
Dobbins, M. (2017). Rapid review guidebook. Natl Collab Cent Method Tools, 13:25.
Folmer, E., Ronzhin, S., Van Hillegersberg, J., Beek, W., and Lemmens, R. (2020). Business rationale for linked data at governments: A case study at the netherlands’ kadaster data platform. IEEE Access, 8:70822–70835.
Heise, A. and Naumann, F. (2012). Integrating open government data with stratosphere for more transparency. Journal of Web Semantics, 14:45–56.
Jetzek, T. (2016). Managing complexity across multiple dimensions of liquid open data: The case of the danish basic data program. Government Information Quarterly, 33(1):89–104.
Kato, F., Takeda, H., Tashiro, S., Hiramoto, K., and Matsuzawa, Y. (2018). IMI: A Common Vocabulary Framework for Open Government Data, pages 336–351. Springer International Publishing.
Lehmberg, O., Bizer, C., and Brinkmann, A. (2017). WInte.r – a web data integration framework. In Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks, volume 1963 of CEUR Workshop Proceedings. CEUR-WS.org.
Lodato, T., French, E., and Clark, J. (2018). Open government data in the smart city: Interoperability, urban knowledge, and linking legacy systems. Journal of Urban Affairs, 43(4):586–600.
Máchová, R. and Lněnička, M. (2017). Evaluating the quality of open data portals on the national level. Journal of Theoretical and Applied Electronic Commerce Research, 12:21–41.
Margariti, V., Stamati, T., Anagnostopoulos, D., Nikolaidou, M., and Raptis, A. (2025). Evaluation of reliability and consistency of a new model for organizational interoperability assessment. Digital Government: Research and Practice, 6(3):1–16.
Masoumi, H., Farahani, B., and Aliee, F. S. (2020). An ontology-based open data interoperability approach for cross-domain government data services. In 2020 25th International Computer Conference, Computer Society of Iran (CSICC), pages 1–8. IEEE.
Meyerhoff Nielsen, M. and Jordanoski, Z. (2023). Digital transformation, governance, and coordination in times of crisis: An analysis of australia, denmark, and the republic of korea. Digital Government: Research and Practice, 4(4):1–20.
Musyaffa, F. A., Engels, C., Vidal, M.-E., Orlandi, F., and Auer, S. (2017). Experience: Open fiscal datasets, common issues, and recommendations. Journal of Data and Information Quality, 9(4):1–10.
Neumaier, S., Umbrich, J., and Polleres, A. (2016). Automated quality assessment of metadata across open data portals. Journal of Data and Information Quality, 8(1):1–29.
Nikiforova, A. and McBride, K. (2021). Open government data portal usability: A user-centred usability analysis of 41 open government data portals. Telematics and Informatics, 58:101539.
Penteado, B., Isotani, S., Bittencourt, I. I., Mello, R. F., and Bittencourt, I. (2022). An architecture for monitoring public educational policies based on big open linked data. In Anais do XXXIII Simpósio Brasileiro de Informática na Educação.
Ramlan, N., Fauzia, F., Hesti, L., Ramlan, N., and Sensuse, D. (2025). Developing a big data strategy: A public sector perspective from the ministry of tourism and creative economy. Digital Government: Research and Practice, 6(4).
Shah, S. I. H., Peristeras, V., and Magnisalis, I. (2021). Government big data ecosystem: Definitions, types of data, actors, and roles and the impact in public administrations. Journal of Data and Information Quality, 13(2):1–25.
Sheoran, S., Mohanasundaram, S., Kasilingam, R., and Vij, S. (2023). Usability and accessibility of open government data portals of countries worldwide: An application of TOPSIS and entropy weight method. International Journal of Electronic Government Research, 19(1).
Sánchez, L., Lanza, J., Santana, J. R., Sotres, P., González, V., Martín, L., Solmaz, G., Kovacs, E., Dietzel, M., Summa, A., Jafari, A. R., Minerva, R., and Crespi, N. (2023). Data enrichment toolchain: A data linking and enrichment platform for heterogeneous data. IEEE Access, 11:103079–103091.
Toro, J. F., Carrion, D., Albertella, A., and Brovelli, M. A. (2019). Cross-border open data sharing: Gioconda project. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4/W14:233–238.
Barcellos, R., Bernardini, F., Viterbo, J., and Zuiderwijk, A. (2023). Hippolyta: a framework to enhance open data interpretability and empower citizens. In Proceedings of the 24th Annual International Conference on Digital Government Research, DGO ’23. ACM.
Barcellos, R., Bernardini, F., Zuiderwijk, A., and Viterbo, J. (2024). Exploring interpretability in open government data with ChatGPT. In Proceedings of the 25th Annual International Conference on Digital Government Research, DGO ’24. ACM.
Beluzo, J., Dias, B., Craveiro, G., and Araujo, R. (2021). Re-public: workflow to publish and reuse linked open government data. In Anais do XVII Simpósio Brasileiro de Sistemas de Informação.
Beluzo, J. R. (2015). IDEO – integrador de dados da execução orçamentária brasileira: Um estudo de caso da integração de dados das receitas e despesas nas esferas federal, estadual – governo de são paulo, e municipal – municípios do estado de são paulo. Dissertação de mestrado em ciências – programa de pós-graduação em sistemas de informação, Escola de Artes, Ciências e Humanidades, Universidade de São Paulo, São Paulo, Brazil. Orientadora: Profa. Dra. Gisele da Silva Craveiro.
Ciancarini, P., Giancarlo, R., and Grimaudo, G. (2024). Digital transformation in the public administrations: A guided tour for computer scientists. IEEE Access, 12:22841–22865.
Diniz, P. H., Reis, L. P., and Cardoso, H. L. (2025). E-government systems to improve citizen-to-public administration communication: A literature review. Digital Government: Research and Practice, 6(4).
Dobbins, M. (2017). Rapid review guidebook. Natl Collab Cent Method Tools, 13:25.
Folmer, E., Ronzhin, S., Van Hillegersberg, J., Beek, W., and Lemmens, R. (2020). Business rationale for linked data at governments: A case study at the netherlands’ kadaster data platform. IEEE Access, 8:70822–70835.
Heise, A. and Naumann, F. (2012). Integrating open government data with stratosphere for more transparency. Journal of Web Semantics, 14:45–56.
Jetzek, T. (2016). Managing complexity across multiple dimensions of liquid open data: The case of the danish basic data program. Government Information Quarterly, 33(1):89–104.
Kato, F., Takeda, H., Tashiro, S., Hiramoto, K., and Matsuzawa, Y. (2018). IMI: A Common Vocabulary Framework for Open Government Data, pages 336–351. Springer International Publishing.
Lehmberg, O., Bizer, C., and Brinkmann, A. (2017). WInte.r – a web data integration framework. In Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks, volume 1963 of CEUR Workshop Proceedings. CEUR-WS.org.
Lodato, T., French, E., and Clark, J. (2018). Open government data in the smart city: Interoperability, urban knowledge, and linking legacy systems. Journal of Urban Affairs, 43(4):586–600.
Máchová, R. and Lněnička, M. (2017). Evaluating the quality of open data portals on the national level. Journal of Theoretical and Applied Electronic Commerce Research, 12:21–41.
Margariti, V., Stamati, T., Anagnostopoulos, D., Nikolaidou, M., and Raptis, A. (2025). Evaluation of reliability and consistency of a new model for organizational interoperability assessment. Digital Government: Research and Practice, 6(3):1–16.
Masoumi, H., Farahani, B., and Aliee, F. S. (2020). An ontology-based open data interoperability approach for cross-domain government data services. In 2020 25th International Computer Conference, Computer Society of Iran (CSICC), pages 1–8. IEEE.
Meyerhoff Nielsen, M. and Jordanoski, Z. (2023). Digital transformation, governance, and coordination in times of crisis: An analysis of australia, denmark, and the republic of korea. Digital Government: Research and Practice, 4(4):1–20.
Musyaffa, F. A., Engels, C., Vidal, M.-E., Orlandi, F., and Auer, S. (2017). Experience: Open fiscal datasets, common issues, and recommendations. Journal of Data and Information Quality, 9(4):1–10.
Neumaier, S., Umbrich, J., and Polleres, A. (2016). Automated quality assessment of metadata across open data portals. Journal of Data and Information Quality, 8(1):1–29.
Nikiforova, A. and McBride, K. (2021). Open government data portal usability: A user-centred usability analysis of 41 open government data portals. Telematics and Informatics, 58:101539.
Penteado, B., Isotani, S., Bittencourt, I. I., Mello, R. F., and Bittencourt, I. (2022). An architecture for monitoring public educational policies based on big open linked data. In Anais do XXXIII Simpósio Brasileiro de Informática na Educação.
Ramlan, N., Fauzia, F., Hesti, L., Ramlan, N., and Sensuse, D. (2025). Developing a big data strategy: A public sector perspective from the ministry of tourism and creative economy. Digital Government: Research and Practice, 6(4).
Shah, S. I. H., Peristeras, V., and Magnisalis, I. (2021). Government big data ecosystem: Definitions, types of data, actors, and roles and the impact in public administrations. Journal of Data and Information Quality, 13(2):1–25.
Sheoran, S., Mohanasundaram, S., Kasilingam, R., and Vij, S. (2023). Usability and accessibility of open government data portals of countries worldwide: An application of TOPSIS and entropy weight method. International Journal of Electronic Government Research, 19(1).
Sánchez, L., Lanza, J., Santana, J. R., Sotres, P., González, V., Martín, L., Solmaz, G., Kovacs, E., Dietzel, M., Summa, A., Jafari, A. R., Minerva, R., and Crespi, N. (2023). Data enrichment toolchain: A data linking and enrichment platform for heterogeneous data. IEEE Access, 11:103079–103091.
Toro, J. F., Carrion, D., Albertella, A., and Brovelli, M. A. (2019). Cross-border open data sharing: Gioconda project. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4/W14:233–238.
Publicado
19/07/2026
Como Citar
BERNARDINI, Flavia; ERTHAL, Matheus; BARCELLOS, Raissa.
Barreiras de interoperabilidade em portais de DGA: uma camada de abstração para acesso unificado. In: LATIN AMERICAN SYMPOSIUM ON DIGITAL GOVERNMENT (LASDIGOV), 14. , 2026, Gramado/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 109-120.
ISSN 2763-8723.
DOI: https://doi.org/10.5753/lasdigov.2026.23909.
