Como a Governança de Dados pode auxiliar na mitigação de barreiras de uso de Portais de Dados Governamentais Abertos? Uma Análise da Literatura
Abstract
Open Government Data (Open Government Data – OGD) portals have shown rapid growth in recent years and increased several problems. To mitigate these problems, as an alternative, Data Governance (Data Governance – DG) is presented in the studies of this research. The main objective of this work is to carry out a literature review to discuss how DG can support the mitigation of the main problems and barriers to use presented in OGD portals. We could initially analyze that there are still problems in OGD portals. Approaches to mitigating these are discussed, as well as good practices to adopt and lessons learned.
References
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.
