Como a Governança de Dados pode auxiliar na mitigação de barreiras de uso de Portais de Dados Governamentais Abertos? Uma Análise da Literatura
Resumo
O uso de portais de Dados Governamentais Abertos (Open Government Data – OGD) tem apresentado um crescimento acelerado nos últimos anos e com ele também aumentaram vários problemas. Para mitigar esses problemas, como alternativa, a Governança de Dados (Data Governance – DG) é apresentada nos estudos desta pesquisa. O principal objetivo deste trabalho consiste em realizar uma análise da literatura para discutir como a DG pode apoiar na mitigação dos principais problemas e barreiras de uso apresentados em portais de OGD. Pudemos analisar inicialmente que ainda há a presença de problemas em portais de OGD. As abordagens para mitigá-los são discutidas, bem como as boas práticas a serem adotadas e lições aprendidas.
Referências
Barcellos, R., Bernardini, F., and Viterbo, J. (2022). Towards defining data interpretability in open data portals: Challenges and research opportunities. Information Systems, 106:101961.
Braunschweig, K., Eberius, J., Thiele, M., Lehner, W., and Dresden, T. U. (2012). The state of open data limits of current open data platforms.
Cadena-Vel, S., Fuster-Guilló, A., and Maz, J.-N. (2019). Publishing open data considering quality criteria. (publicando datos abiertos considerando criterios de calidad). RISTI - Iberian Journal of Information Systems and Technologies, pages 295–308.
Cadena-Vela, S., Mazón, J.-N., and Fuster-Guilló, A. (2020). Defining a master data management approach for increasing open data understandability. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11878 LNCS. Springer-Verlag.
Chapple, M. (2013). Speaking the same language: Building a data governance program for institutional impact. Educause Review, 48(6):14.
Chattapadhyay, S. (2014). Access and use of government data by research and advocacy organizations in india: A survey of (potential) open data ecosystem. In In Proceedings of the 8th International Conference on Theory and Practice of Electronic Governance, page 361–364. ACM.
Cheong, L. and Chang, V. (2007). The need for data governance: A case study. In In Proc. 18th Australasian Conference on Information Systems, Toowoomba (Australia), pages 999–1008. AIS Electronic Library (AISeL).
DataPortals.org (2023). A comprehensive list of open data portals from around the world. Online reference at https://datacatalogs.org/.
Fioretti, M. (2011). Open data: Emerging trends, issues and best practices. Laboratory of Economics and Management of Scuola Superiore Sant’Anna, Pisa.
Gurstein, M. B. (2011). Open data: Empowering the empowered or effective data use for everyone? First Monday 16, 2, 16(2).
Interian, R., Mendoza, I., Bernardini, F., and Viterbo, J. (2022). Unified vocabulary in official gazettes: An exploratory study on procurement data. In Proceedings of the 15th International Conference on Theory and Practice of Electronic Governance, ICEGOV ’22, page 195–202, New York, NY, USA. Association for Computing Machinery.
Khatri, V. and Brown, C. V. (2010). Designing data governance. ACM, 53(1):148–152.
Lněnička, M., Machova, R., Volejníková, J., Linhartová, V., Knezackova, R., and Hub, M. (2021). Enhancing transparency through open government data: the case of data portals and their features and capabilities. Online Information Review, 45(6):1021–1038.
Martínez, R., Pons, C., Rodríguez, R., and Vera, P. (2021). Quality evaluation of government open data sets in argentina using the hevda validation tool. Journal of Science and Research, 6(2).
Masoumi, H., Farahani, B., and Shams Aliee, F. (2022). Systematic and ontology-based approach to interoperable cross-domain open government data services. Transforming Government: People, Process and Policy, pages 110–127.
Newman, D. and Logan, D. (2006). Governance is an essential building block for enterprise information management. Gartner Research.
Nikiforova, A. and Lnenicka, M. (2021). A multi-perspective knowledge-driven approach for analysis of the demand side of the open government data portal. Government Information Quarterly, 38(4).
Oracle (2011). Enterprise information management: Best practices in data governance. An Oracle white paper on enterprise architecture.
Pinto, H., Barcellos, R., Bernardini, F., and Viterbo, J. (2022). A methodology for aligning categories from open government data portals to a comprehensive set of categories. In Electronic Government: 21st IFIP WG 8.5 International Conference, EGOV 2022, Linköping, Sweden, September 6–8, 2022, Proceedings, page 258–273, Berlin, Heidelberg. Springer-Verlag.
Rangel, M., Bernardini, F., Viterbo, J., Monteiro, R., Seixas, E., and Pinto, H. d. S. (2020). Use of machine learning for automatic categorization of datasets from open data portals. Workshop on Computing Applied to E-Government (WCGE), 8.
Rangel-Carrillo, A. M., Maestre-Góngora, G. P., and y M. A. Osorio-Sanabria (2020). Principles, guidelines, dimensions, and attributes for the quality evaluation of open government data. (principios, lineamientos, dimensiones y atributos para la evaluación de calidad de datos abiertos de gobierno). Aibi revista de investigación, administración e ingeniería - UDES, 8(S1):54–65.
Reis, J. R., Bernadini, F., and Viterbo, J. (2022). A new approach for assessing metadata completeness in open data portals. International Journal of Electronic Government Research (IJEGR), 18(1):1–20.
Reis, J. R., Viterbo, J., and Bernardini, F. (2018). A rationale for data governance as an approach to tackle recurrent drawbacks in open data portals. In Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data, page 1–9. ACM.
Tygel, A., Auer, S., Debattista, J., Orlandi, F., and Campos, M. L. M. (2016). Towards cleaning-up open data portals: A metadata reconciliation approach. In 2016 IEEE Tenth International Conference on Semantic Computing (ICSC), page 71–78. IEEE.
Vetrò, A., Canova, L., Torchiano, M., Minotas, C. O., Iemma, R., and Morando, F. (2016). Open data quality measurement framework: Definition and application to open government data. Government Information Quarterly, 33(2):325–337.
Zuiderwijk, A., Helbig, N., Gil-García, J. R., and Janssen, M. (2014). Special issue on innovation through open data: Guest editors’ introduction. Journal of theoretical and applied electronic commerce research, 9(2):i–xiii.
Braunschweig, K., Eberius, J., Thiele, M., Lehner, W., and Dresden, T. U. (2012). The state of open data limits of current open data platforms.
Cadena-Vel, S., Fuster-Guilló, A., and Maz, J.-N. (2019). Publishing open data considering quality criteria. (publicando datos abiertos considerando criterios de calidad). RISTI - Iberian Journal of Information Systems and Technologies, pages 295–308.
Cadena-Vela, S., Mazón, J.-N., and Fuster-Guilló, A. (2020). Defining a master data management approach for increasing open data understandability. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11878 LNCS. Springer-Verlag.
Chapple, M. (2013). Speaking the same language: Building a data governance program for institutional impact. Educause Review, 48(6):14.
Chattapadhyay, S. (2014). Access and use of government data by research and advocacy organizations in india: A survey of (potential) open data ecosystem. In In Proceedings of the 8th International Conference on Theory and Practice of Electronic Governance, page 361–364. ACM.
Cheong, L. and Chang, V. (2007). The need for data governance: A case study. In In Proc. 18th Australasian Conference on Information Systems, Toowoomba (Australia), pages 999–1008. AIS Electronic Library (AISeL).
DataPortals.org (2023). A comprehensive list of open data portals from around the world. Online reference at https://datacatalogs.org/.
Fioretti, M. (2011). Open data: Emerging trends, issues and best practices. Laboratory of Economics and Management of Scuola Superiore Sant’Anna, Pisa.
Gurstein, M. B. (2011). Open data: Empowering the empowered or effective data use for everyone? First Monday 16, 2, 16(2).
Interian, R., Mendoza, I., Bernardini, F., and Viterbo, J. (2022). Unified vocabulary in official gazettes: An exploratory study on procurement data. In Proceedings of the 15th International Conference on Theory and Practice of Electronic Governance, ICEGOV ’22, page 195–202, New York, NY, USA. Association for Computing Machinery.
Khatri, V. and Brown, C. V. (2010). Designing data governance. ACM, 53(1):148–152.
Lněnička, M., Machova, R., Volejníková, J., Linhartová, V., Knezackova, R., and Hub, M. (2021). Enhancing transparency through open government data: the case of data portals and their features and capabilities. Online Information Review, 45(6):1021–1038.
Martínez, R., Pons, C., Rodríguez, R., and Vera, P. (2021). Quality evaluation of government open data sets in argentina using the hevda validation tool. Journal of Science and Research, 6(2).
Masoumi, H., Farahani, B., and Shams Aliee, F. (2022). Systematic and ontology-based approach to interoperable cross-domain open government data services. Transforming Government: People, Process and Policy, pages 110–127.
Newman, D. and Logan, D. (2006). Governance is an essential building block for enterprise information management. Gartner Research.
Nikiforova, A. and Lnenicka, M. (2021). A multi-perspective knowledge-driven approach for analysis of the demand side of the open government data portal. Government Information Quarterly, 38(4).
Oracle (2011). Enterprise information management: Best practices in data governance. An Oracle white paper on enterprise architecture.
Pinto, H., Barcellos, R., Bernardini, F., and Viterbo, J. (2022). A methodology for aligning categories from open government data portals to a comprehensive set of categories. In Electronic Government: 21st IFIP WG 8.5 International Conference, EGOV 2022, Linköping, Sweden, September 6–8, 2022, Proceedings, page 258–273, Berlin, Heidelberg. Springer-Verlag.
Rangel, M., Bernardini, F., Viterbo, J., Monteiro, R., Seixas, E., and Pinto, H. d. S. (2020). Use of machine learning for automatic categorization of datasets from open data portals. Workshop on Computing Applied to E-Government (WCGE), 8.
Rangel-Carrillo, A. M., Maestre-Góngora, G. P., and y M. A. Osorio-Sanabria (2020). Principles, guidelines, dimensions, and attributes for the quality evaluation of open government data. (principios, lineamientos, dimensiones y atributos para la evaluación de calidad de datos abiertos de gobierno). Aibi revista de investigación, administración e ingeniería - UDES, 8(S1):54–65.
Reis, J. R., Bernadini, F., and Viterbo, J. (2022). A new approach for assessing metadata completeness in open data portals. International Journal of Electronic Government Research (IJEGR), 18(1):1–20.
Reis, J. R., Viterbo, J., and Bernardini, F. (2018). A rationale for data governance as an approach to tackle recurrent drawbacks in open data portals. In Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data, page 1–9. ACM.
Tygel, A., Auer, S., Debattista, J., Orlandi, F., and Campos, M. L. M. (2016). Towards cleaning-up open data portals: A metadata reconciliation approach. In 2016 IEEE Tenth International Conference on Semantic Computing (ICSC), page 71–78. IEEE.
Vetrò, A., Canova, L., Torchiano, M., Minotas, C. O., Iemma, R., and Morando, F. (2016). Open data quality measurement framework: Definition and application to open government data. Government Information Quarterly, 33(2):325–337.
Zuiderwijk, A., Helbig, N., Gil-García, J. R., and Janssen, M. (2014). Special issue on innovation through open data: Guest editors’ introduction. Journal of theoretical and applied electronic commerce research, 9(2):i–xiii.
Publicado
06/08/2023
Como Citar
MENDOZA, Isela; CORRÊA, Renan; BERNARDINI, Flavia.
Como a Governança de Dados pode auxiliar na mitigação de barreiras de uso de Portais de Dados Governamentais Abertos? Uma Análise da Literatura. In: WORKSHOP DE COMPUTAÇÃO APLICADA EM GOVERNO ELETRÔNICO (WCGE), 11. , 2023, João Pessoa/PB.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 212-223.
ISSN 2763-8723.
DOI: https://doi.org/10.5753/wcge.2023.229862.
