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Vol. 11 No. 3 (2021)
Julio-Diciembre

Articles

The value of open data government: a quality assessment approach

https://doi.org/10.19053/20278306.v11.n3.2021.13348

Published 2021-08-15 — Updated on 2021-08-15

Gina Maestre-Gongora
Universidad Cooperativa de Colombia, Medellín , Colombia

Adriana Rangel-Carrillo
Universidad Cooperativa de Colombia, Bucaramanga, Colombia

Mariutsi Osorio-Sanabria
Universidad Pontificia Bolivariana, Medellín , Colombia

Abstract

Data quality involves a set of characteristics, values, and expressions that are built iteratively. Open government data (OGD) shares the qualities of Big Data regarding volume, speed, accuracy, and value, and the purpose of achieving stakeholders’ reuse stands out. This study uses a bibliographic review to identify the relationships among big data, open data, data quality, and value. We conclude that OGD, a recent trend, encourages collaboration and citizen participation and enables reusing data to pursue public and private innovation. Ensuring data quality makes it possible to obtain value from its reuse and generate Economic Value, Commercial Value, Social Value, and Public Value. Consumers require a solid basis of trust before using public information, which requires a data quality assurance process that strengthens and intensifies the inherent value of the data and activates its potential in different contexts.

Keywords

big data, data quality, open government data, public value

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Author Biography

Gina Maestre-Gongora

Ingeniera de Sistemas, Doctora en Ingeniería de Sistemas y Computación

Adriana Rangel-Carrillo

Ingeniera de Sistemas, Magíster en Gestión de Tecnologías de Información,

Mariutsi Osorio-Sanabria

Ingeniera de Sistemas, Estudiante de Doctorado en Ingeniería

References

  1. Attard, J., Orlandi, F., & Auer, S. (2016). Value Creation on Open Government Data. 2016 49th Hawaii International Conference on System Sciences (HICSS), 2605–2614. https://doi.org/10.1109/HICSS.2016.326
  2. Attard, J., Orlandi, F., Scerri, S., & Auer, S. (2015). A systematic review of open government data initiatives. Government Information Quarterly, 32 (4), 399–418. https://doi.org/10.1016/j.giq.2015.07.006
  3. Bracken, M., & Greenway, A. (2019). De la información a la inteligencia: ¿Cómo adaptar las instituciones para el análisis de datos en el Gobierno? https://publications.iadb.org/publications/spanish/document/De_la_información_a_la_inteligencia_Cómo_adaptar_las_instituciones_para_el_análisis_de_datos_en_el_gobierno_es.pdf
  4. BSA The Software Alliance. (2017). ¿Por qué son tan importantes los datos? https://data.bsa.org/wp-content/uploads/2015/10/BSADataStudy_es.pdf
  5. Cai, L., & Zhu, Y. (2015). The Challenges of Data Quality and Data Quality Assessment in the Big Data Era. Data Science Journal, 14 (0), 2. https://doi.org/10.5334/dsj-2015-002
  6. Ciancarini, P., Poggi, F., & Russo, D. (2016). Big Data Quality: A Roadmap for Open Data. Proceedings - 2016 IEEE 2nd International Conference on Big Data Computing Service and Applications, BigDataService 2016, 210–215. https://doi.org/10.1109/BigDataService.2016.37
  7. Congreso de la República de Colombia. (2014). LEY 1712 DE 2014. Imprenta Nacional de Colombia. http://suin.gov.co/viewDocument.asp?ruta=Leyes/1687091
  8. Consejo Nacional de Política Económica y Social de la República de Colombia. (2018). Política Nacional de Explotación de Datos (Big Data). https://colaboracion.dnp.gov.co/CDT/Conpes/Económicos/3920.pdf
  9. Cumbre Global de la Alianza para el Gobierno Abierto. (2015). Carta Internacional de Datos Abiertos (2015). http://www.datosabiertos.gob.ec/wp-content/uploads/downloads/2016/08/Carta_Internacional_de_Datos_Abiertos2015.pdf
  10. Freitas, A., & Curry, E. (2016). Big data curation. New Horizons for a Data-Driven Economy: A Roadmap for Usage and Exploitation of Big Data in Europe 87–118. Springer International Publishing. https://doi.org/10.1007/978-3-319-21569-3_6
  11. Gobierno Digital de la Secretaría de la Función Pública México. (2017). Guía de Implementación de la Política de Datos Abiertos. 1–21. http://dof.gob.mx/nota_to_doc.php?codnota=5507476
  12. Goldsmith, S., & Crawford, S. (2016). El análisis predictivo: impulsando la mejora a partir de los datos. https://publications.iadb.org/publications/spanish/document/Innovaciones-en-la-prestación-de-servicios-públicos-Número-4-El-análisis-predictivo-Impulsando-la-mejora-a-partir-de-los-datos.pdf
  13. Kalampokis, E., Tambouris, E., & Tarabanis, K. (2011). Open government data: A stage model. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6846 LNCS, 235–246. https://doi.org/10.1007/978-3-642-22878-0_20
  14. Kucera, J. (2015). Open Government Data Publication Methodology. Journal of Systems Integration, 6 (2), 52–61. https://doi.org/https://doi.org/10.20470/jsi.v6i2.231
  15. Kucera, J., & Chlapek, D. (2014). Benefits and Risks of Open Government Data. Journal of Systems Integration, 5 (1), 30–41. https://doi.org/http://dx.doi.org/10.20470/jsi.v5i1.185
  16. Maestre-Gongora, G., & Colmenares-Quintero, R. F. (2018). Systematic mapping study to identify trends in the application of smart technologies. Iberian Conference on Information Systems and Technologies, CISTI, 2018-June. https://doi.org/10.23919/CISTI.2018.8398638
  17. Maestre-Gongora, G., & Nieto, W. (2019). Conceptual model of information technology management for smart cities: Smarticity. Journal of Global Information Management, 27 (2). https://doi.org/10.4018/JGIM.2019040109
  18. Mahecha, J. F., López, N. E., & Velandia, J. A. (2018). Assessing data quality in open data: A case study. Congreso Internacional de Innovacion y Tendencias En Ingeniería, CONIITI 2017 - Conference Proceedings, 2018, 1–5. https://doi.org/10.1109/CONIITI.2017.8273343
  19. Merino, J., Caballero, I., Rivas, B., Serrano, M., & Piattini, M. (2016). A Data Quality in Use model for Big Data. Future Generation Computer Systems, 63, 123–130. https://doi.org/10.1016/j.future.2015.11.024
  20. Ministerio de Modernización - Argentina. (2016). Kit de Datos Abiertos. https://www.argentina.gob.ar/sites/default/files/2._kit_de_datos_abiertos.pdf
  21. Ministerio de Tecnologías de la Información y las Comunicaciones de Colombia, MinTIC. (2016a). Guía de Datos Abiertos en Colombia. https://herramientas.datos.gov.co/es/blog/conoce-la-guía-de-datos-abiertos
  22. Ministerio de Tecnologías de la Información y las Comunicaciones de Colombia, MinTIC. (2016b). Guía de estándares de Calidad e interoperabilidad de los Datos Abiertos del Gobierno de Colombia. https://herramientas.datos.gov.co/sites/default/files/A_guia_de_estandares_final_0.pdf
  23. Ministerio de Tecnologías de la Información y las Comunicaciones de Colombia, MinTIC. (2019a). Guía para el uso y aprovechamiento de Datos Abiertos en Colombia. https://herramientas.datos.gov.co/sites/default/files/Guia de Datos Abiertos de Colombia.pdf
  24. Ministerio de Tecnologías de la Información y las Comunicaciones de Colombia, MinTIC. (2019b). Requisitos de calidad para Datos Abiertos. https://sellodeexcelencia.gov.co/documents/UTSF_SDE_Requisitos_de_calidad_para_datos_abiertos_2019_12_02_v_2_0.pdf
  25. Muente-Kunigami, A., & Serale, F. (2018). Los datos abiertos en América Latina y el Caribe. https://doi.org/10.18235/0001202
  26. Sabri, N. A. M., Emran, N. A., & Harum, N. (2019). Government open data portals: A measurement of data veracity coverage. International Journal of Innovative Technology and Exploring Engineering, 8 (12), 1975–1983. https://doi.org/10.35940/ijitee.L2908.1081219
  27. United Nations Economic Commission for Europe, UNECE. (2014). A Suggested Framework for the Quality of Big Data Deliverables. https://statswiki.unece.org/download/attachments/108102944/Big Data Quality Framework - final- Jan08-2015.pdf
  28. Wahyudi, A., Kuk, G., & Janssen, M. (2018). A Process Pattern Model for Tackling and Improving Big Data Quality. 20 (3), 457–469. https://doi.org/10.1007/s10796-017-9822-7
  29. Warraich, N. F., Rasool, T., & Sajid, M. (2019). Challenges to Use Open Government Data through the Citizens’ Lens: A Systematic Review. Journal of Political Studies, 26 (2), 14.
  30. Wieczorkowski, J. (2019). Barriers to using open government data. ACM International Conference Proceeding Series, 15–20. https://doi.org/10.1145/3340017.3340022
  31. Williams, D., & Tang, H. (2020). Data Quality Management for Industry 4.0: A Survey. http:www.asq.org
  32. Yang, Z., & Kankanhalli, A. (2013). Innovation in government services: The case of open data. IFIP Advances in Information and Communication Technology, 402, 644–651. https://doi.org/10.1007/978-3-642-38862-0_47
  33. Zuiderwijk, A., & Janssen, M. (2015). Participation and data quality in open data use: Open data infrastructures evaluated. In ACPI (Ed.), Proceedings of the European Conference on e-Government, ECEG 2015, 351–358. http://resolver.tudelft.nl/uuid:c3e2530d-eaa2-409b-a700-b7107db7e159

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