The value of open data government: A quality assessment approach
La calidad de los datos implica un conjunto de características, valores y expresiones que se construyen de forma iterativa. Los datos abiertos del gobierno (OGD) comparten las cualidades de los Big Data en cuanto a volumen, velocidad, precisión y valor, y destaca el propósito de lograr la reutilizac...
- Autores:
-
Maestre Góngora, Gina Paola
Osorio Sanabria, Mariutsi Alexandra
Rangel Carrillo, Adriana
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2021
- Institución:
- Universidad Cooperativa de Colombia
- Repositorio:
- Repositorio UCC
- Idioma:
- OAI Identifier:
- oai:repository.ucc.edu.co:20.500.12494/36404
- Acceso en línea:
- https://hdl.handle.net/20.500.12494/36404
- Palabra clave:
- Big data
Calidad de los datos
Datos abiertos de gobierno
Valor público
Big data
Data quality
Open government data
Public value
- Rights
- closedAccess
- License
- NINGUNA
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The value of open data government: A quality assessment approach |
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The value of open data government: A quality assessment approach |
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The value of open data government: A quality assessment approach Big data Calidad de los datos Datos abiertos de gobierno Valor público Big data Data quality Open government data Public value |
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The value of open data government: A quality assessment approach |
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The value of open data government: A quality assessment approach |
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The value of open data government: A quality assessment approach |
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The value of open data government: A quality assessment approach |
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The value of open data government: A quality assessment approach |
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Maestre Góngora, Gina Paola Osorio Sanabria, Mariutsi Alexandra Rangel Carrillo, Adriana |
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Maestre Góngora, Gina Paola Osorio Sanabria, Mariutsi Alexandra Rangel Carrillo, Adriana |
| dc.subject.spa.fl_str_mv |
Big data Calidad de los datos Datos abiertos de gobierno Valor público |
| topic |
Big data Calidad de los datos Datos abiertos de gobierno Valor público Big data Data quality Open government data Public value |
| dc.subject.other.spa.fl_str_mv |
Big data Data quality Open government data Public value |
| description |
La calidad de los datos implica un conjunto de características, valores y expresiones que se construyen de forma iterativa. Los datos abiertos del gobierno (OGD) comparten las cualidades de los Big Data en cuanto a volumen, velocidad, precisión y valor, y destaca el propósito de lograr la reutilización de los interesados. Este estudio utiliza una revisión para identificar las relaciones entre big data, datos abiertos, calidad y valor. Se concluye que el OGD, una tendencia reciente, fomenta la colaboración y la participación ciudadana y permite la reutilización de los datos para buscar la innovación pública y privada. Asegurar la calidad de los datos permite obtener valor de su reutilización y generar valor económico, valor comercial, valor social y valor público. Los consumidores requieren una sólida base de confianza antes de utilizar la información pública, lo que exige un proceso de garantía de la calidad de los datos que refuerce e intensifique el valor inherente de los mismos, y active su potencial en diferentes contextos. |
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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 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 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 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 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 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 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_2 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 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 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 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 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 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 Muente-Kunigami, A., & Serale, F. (2018). Los datos abiertos en América Latina y el Caribe. https://doi. org/10.18235/0001202 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 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 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. Wieczorkowski, J. (2019). Barriers to using open government data. ACM International Conference Proceeding Series, 15–20. https://doi. org/10.1145/3340017.3340022 Williams, D., & Tang, H. (2020). Data Quality Management for Industry 4.0: A Survey. http:www.asq.org 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 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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Maestre Góngora, Gina PaolaOsorio Sanabria, Mariutsi AlexandraRangel Carrillo, Adriana11 (3)2021-11-04T15:07:53Z2021-11-04T15:07:53Z2021-112027-8306doi: https://doi.org/10.19053/20278306.v11.n3.2021.13348https://hdl.handle.net/20.500.12494/36404Maestre Gongora, G., Rangel Castillo, A., & Osorio Sanabria, M. (2021). The value of open data government: a quality assessment approach. Revista de Investigación, Desarrollo e Innovación, 11 (3), 507-518. doi: https://doi.org/10.19053/20278306.v11.n3.2021.13348La calidad de los datos implica un conjunto de características, valores y expresiones que se construyen de forma iterativa. Los datos abiertos del gobierno (OGD) comparten las cualidades de los Big Data en cuanto a volumen, velocidad, precisión y valor, y destaca el propósito de lograr la reutilización de los interesados. Este estudio utiliza una revisión para identificar las relaciones entre big data, datos abiertos, calidad y valor. Se concluye que el OGD, una tendencia reciente, fomenta la colaboración y la participación ciudadana y permite la reutilización de los datos para buscar la innovación pública y privada. Asegurar la calidad de los datos permite obtener valor de su reutilización y generar valor económico, valor comercial, valor social y valor público. Los consumidores requieren una sólida base de confianza antes de utilizar la información pública, lo que exige un proceso de garantía de la calidad de los datos que refuerce e intensifique el valor inherente de los mismos, y active su potencial en diferentes contextos.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.https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001087002https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001114026https://orcid.org/0000-0002-2880-9245https://orcid.org/0000-0001-7375-3052gina.maestre@campusucc.edu.comariutsi.osorio@upb.edu.cohttps://scholar.google.com/citations?user=-EfDLGsAAAAJ&hl=enhttps://scholar.google.com/citations?user=RqHVt8AAAAAJ&hl=es507-518Universidad Cooperativa de Colombia, Facultad de Ingenierías, Ingeniería de Software, Medellín y EnvigadoIngeniería de sofwareMedellínhttps://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/13348Revista de Investigación, Desarrollo e InnovaciónAttard, 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.2016.326Attard, 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.2015.07.006Bracken, 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.pdfCai, 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-2015-002Ciancarini, 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.2016.37Freitas, 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_6Kalampokis, 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_2Kucera, J. (2015). Open Government Data Publication Methodology. Journal of Systems Integration, 6 (2), 52–61. https://doi.org/https://doi.org/10.20470/jsi.v6i2.231Kucera, 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.v5i1.185Maestre-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.2018.8398638Maestre-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.2019040109Mahecha, 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.2017.8273343Merino, 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.2015.11.024Muente-Kunigami, A., & Serale, F. (2018). Los datos abiertos en América Latina y el Caribe. https://doi. org/10.18235/0001202Sabri, 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. L2908.1081219Wahyudi, 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/s10796-017-9822-7Warraich, 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.Wieczorkowski, J. (2019). Barriers to using open government data. ACM International Conference Proceeding Series, 15–20. https://doi. org/10.1145/3340017.3340022Williams, D., & Tang, H. (2020). Data Quality Management for Industry 4.0: A Survey. http:www.asq.orgYang, 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_47Zuiderwijk, 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-b7107db7e159Big dataCalidad de los datosDatos abiertos de gobiernoValor públicoBig dataData qualityOpen government dataPublic valueThe value of open data government: A quality assessment approachArtículos Científicoshttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionNINGUNAinfo:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbPublicationORIGINAL2021_RIDI_OpenDataQuality.pdf2021_RIDI_OpenDataQuality.pdfArtículoapplication/pdf270150https://repository.ucc.edu.co/bitstreams/cb985f30-f995-40e4-88f6-2ebc4c0afdca/download1723e2acb1cb9c6b09665d7d342d7899MD512021_RIDI_OpenDataQuality-LicenciadeUso.pdf2021_RIDI_OpenDataQuality-LicenciadeUso.pdfLicencia de 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