Principios, lineamientos, dimensiones y atributos para la evaluación de calidad de Datos Abiertos de Gobierno

Adriana Milena Rangel-Carrillo; Gina Paola Maestre-Góngora; Mariutsi Alexandra Osorio-Sanabria

doi:10.15649/2346030X.950

Authors

Adriana Milena Rangel-Carrillo Universidad Cooperativa de Colombia https://orcid.org/0000-0002-2206-748X
Gina Paola Maestre-Góngora Universidad Cooperativa de Colombia
Mariutsi Alexandra Osorio-Sanabria Universidad Pontificia Bolivariana

DOI:

https://doi.org/10.15649/2346030X.950

Keywords:

open government data, data quality attributes, data quality dimensions, data quality guidelines, data quality principies

Abstract

The purpose of this research was to establish a conceptual basis for the quality assessment of open government data, by delimiting the principles, guidelines, dimensions and quality attributes required to implement an effective operation of the guidelines given by the Ministry of Technologies of Information and Communications of Colombia. A literature review was carried out, in which the objective of the research was defined, a query was made in different sources, the data was prepared and the literature was classified according to the defined selection criteria and thus align the selected components in a strategic scheme that prioritizes the exploitation of data as a source of trends and innovations. Three essential principles were identified: Fitness for Use, Process Orientation and Continuous Improvement, from which three dimensions emerge to consider the context, properties and value representation of the data, with 6 guidelines and 12 attributes that gradually contribute with the level of quality required according to the technical reference documents for the Colombian context. In conclusion, the proposed model makes it possible to develop a quality assessment of open government data to enable, through its publication and reuse, the benefits of converting the raw material of the data into products that are materialized in relevant information and coherent for the public and private sectors and the general public.

References

J. F. Mahecha, N. E. López, and J. A. Velandia, “Assessing data quality in open data: A case study,” 2017 Congr. Int. Innov. y Tendencias en Ing. CONIITI 2017 - Conf. Proc., vol. 2018-Janua, pp. 1–5, 2018, doi: 10.1109/CONIITI.2017.8273343.

TodoBI, “11 Consejos sobre Bad Data: el enemigo silencioso en Business Intelligece y Big Data,” TodoBI, 2019. https://www.todobi.com/11-consejos-sobre-bad-data-el-enemigo/ (accessed Jul. 14, 2020).

BSA The Software Alliance, “¿Por qué son tan importantes los datos?,” 2017. Accessed: May 22, 2020. [Online]. Available: https://data.bsa.org/wp-content/uploads/2015/10/BSADataStudy_es.pdf.

T. Redman, “Bad Data Costs the U.S. $3 Trillion Per Year,” Harvard Business Review Web site, 2016. https://hbr.org/2016/09/bad-data-costs-the-u-s-3-trillion-per-year (accessed Jul. 14, 2020).

Ministerio de Tecnologías de la Información y las Comunicaciones de Colombia, “Guía de estándares de Calidad e interoperabilidad de los Datos Abiertos del Gobierno de Colombia,” 2016. Accessed: May 04, 2020. [Online]. Available: https://herramientas.datos.gov.co/sites/default/files/A_guia_de_estandares_final_0.pdf.

M. S. Talukder, L. Shen, M. F. Hossain-Talukder, and Y. Bao, “Determinants of user acceptance and use of open government data (OGD): An empirical investigation in Bangladesh,” Technol. Soc., vol. 56, pp. 147–156, Feb. 2019, doi: 10.1016/j.techsoc.2018.09.013.

A. Gómez, A. Funez, C. Robert, D. Zepeda, y S. Juárez, “Cómo innovar en proyectos de desarrollo: 13 casos de éxito en Latinoamérica | Publications,” BID, 2019. https://publications.iadb.org/publications/spanish/document/Cómo_innovar_en_proyectos_de_desarrollo_Trece_casos_de_éxito_en_Latinoamérica.pdf (accessed Jul. 14, 2020).

Ministerio de Tecnologías de la Información y las Comunicaciones de Colombia, “Colombia es el tercer país con mejor progreso en datos abiertos: OCDE - Ministerio de Tecnologías de la Información y las Comunicaciones,” 2020. https://www.mintic.gov.co/portal/inicio/Sala-de-Prensa/Noticias/116115:Colombia-es-el-tercer-pais-con-mejor-progreso-en-datos-abiertos-OCDE (accessed Sep. 04, 2020).

Ministerio de Tecnologías de la Información y las Comunicaciones de Colombia, “Guía de Datos Abiertos en Colombia,” 2016. Accessed: May 04, 2020. [Online]. Available: https://herramientas.datos.gov.co/es/blog/conoce-la-guía-de-datos-abiertos.

J. Kucera, “Open Government Data Publication Methodology,” J. Syst. Integr., vol. 6, no. 2, pp. 52–61, 2015, doi: https://doi.org/10.20470/jsi.v6i2.231.

Cumbre Global de la Alianza para el Gobierno Abierto, “Carta Internacional de Datos Abiertos (2015),” México, 2015. Accessed: May 27, 2020. [Online]. Available: http://www.datosabiertos.gob.ec/wp-content/uploads/downloads/2016/08/Carta_Internacional_de_Datos_Abiertos2015.pdf.

K. Torres-Saumeth, T. Ruiz Afanador, L. Solís Ospino, and F. Martínez Barraza, “Calidad y su evolución: una revisión* Quality and its evolution: a review,” Universidad Autónoma del Caribe, 2012. Accessed: Jul. 14, 2020. [Online]. Available: https://dialnet.unirioja.es/servlet/articulo?codigo=4400435&info=resumen&idioma=ENG.

Power Data, “Big Data: ¿En qué consiste? Su importancia, desafíos y gobernabilidad,” Power Data Especialista en Gestión de Datos, 2019. https://www.powerdata.es/big-data (accessed Jul. 14, 2020).

L. Cai and Y. Zhu, “The Challenges of Data Quality and Data Quality Assessment in the Big Data Era,” Data Sci. J., vol. 14, no. 0, p. 2, May 2015, doi: 10.5334/dsj-2015-002.

D. Loshin, “Understanding Big Data Quality for Maximum Information Usability,” 2014. Accessed: Jul. 14, 2020. [Online]. Available: www.dataqualitybook.com.

Gobierno de España, “Manual práctico para mejorar la calidad de los datos abiertos,” Madrid, Dec. 2017. Accessed: Jun. 02, 2020. [Online]. Available: https://datos.gob.es/sites/default/files/doc/file/manual_practico_para_mejorar_la_calidad_de_los_datos_abiertos_1.pdf.

ISO/IEC 25012, “ISO 25012,” ISO/IEC 25012, 2019. https://iso25000.com/index.php/normas-iso-25000/iso-25012 (accessed Jul. 14, 2020).

S. Mukherjee and R. Shaw, “Big Data-Concepts, Applications, Challenges and Future Scope,” Int. J. Adv. Res. Comput. Commun. Eng., vol. 5, no. 2, 2016, doi: 10.17148/IJARCCE.2016.5215.

N. Miloslavskaya and A. Tolstoy, “Big Data, Fast Data and Data Lake Concepts,” in Procedia Computer Science, Jan. 2016, vol. 88, pp. 300–305, doi: 10.1016/j.procs.2016.07.439.

Europe United Nations Economic Commission, “A Suggested Framework for the Quality of Big Data Deliverables,” 2014. [Online]. Available: https://statswiki.unece.org/download/attachments/108102944/Big Data Quality Framework - final- Jan08-2015.pdf?version=1&modificationDate=1420725063663&api=v2.

P. Russom and T. Org, “BIG DATA ANALYTICS FOURTH QUARTER 2011 TDWI RE SE A RCH Co-sponsored by BIG DATA A N A LY TIC S FOURTH QUARTER 2011 TDWI BEST PRACTICES REPORT Introduction to Big Data Analytics,” 2011.

J. Attard, F. Orlandi, and S. Auer, “Value Creation on Open Government Data,” in 2016 49th Hawaii International Conference on System Sciences (HICSS), Jan. 2016, pp. 2605–2614, doi: 10.1109/HICSS.2016.326.

J. Attard, F. Orlandi, S. Scerri, and S. Auer, “A systematic review of open government data initiatives,” Gov. Inf. Q., vol. 32, no. 4, pp. 399–418, Oct. 2015, doi: 10.1016/j.giq.2015.07.006.

M. Yi, “Exploring the quality of government open data Comparison study of the UK, the USA and Korea,” Electron. Libr., vol. 37, no. 1, pp. 35–48, 2019, doi: 10.1108/EL-06-2018-0124.

Ministerio de Ciencia Tecnología Innovación y Comunicaciones - Brasil, “Plan de Datos Abiertos 2020-2021,” Brasil, 2020. Accessed: May 27, 2020. [Online]. Available: http://www.mctic.gov.br/.

A. Zuiderwijk, M. Janssen, and I. Susha, “Improving the speed and ease of open data use through metadata, interaction mechanisms, and quality indicators,” J. Organ. Comput. Electron. Commer., vol. 26, no. 1–2, pp. 116–146, Apr. 2016, doi: 10.1080/10919392.2015.1125180.

N. F. Warraich, T. Rasool, and M. Sajid, “Challenges to Use Open Government Data through the Citizens’ Lens: A Systematic Review,” J. Polit. Stud., vol. 26, no. 2, p. 14, 2019.

Ministerio de Tecnologías de la Información y las Comunicaciones de Colombia, “Guía para el uso y aprovechamiento de Datos Abiertos en Colombia,” 2019. Accessed: May 04, 2020. [Online]. Available: https://herramientas.datos.gov.co/sites/default/files/Guia de Datos Abiertos de Colombia.pdf.

Ministerio de Tecnologías de la Información y las Comunicaciones de Colombia, “Requisitos de calidad para Datos Abiertos,” 2019. Accessed: May 04, 2020. [Online]. Available: https://sellodeexcelencia.gov.co/documents/UTSF_SDE_Requisitos_de_calidad_para_datos_abiertos_2019_12_02_v_2_0.pdf.

Ministerio de Tecnologías de la Información y las Comunicaciones de Colombia, “Datos Abiertos Colombia,” 2019. https://herramientas.datos.gov.co/es/fichatecnicacalidad (accessed Apr. 29, 2020).

E. Manrique, G. Maestre-Gongora, y M. Osorio-Sanabria, “Caracterización de buenas práctgicas para Gestión de Sistemas de Información en Entidades Públicas Colombianas,” Ingeniere, vol. 14, no. 24, pp. 65–76, 2018.

P. Ciancarini, F. Poggi, y D. Russo, “Big Data Quality: A Roadmap for Open Data,” in Proceedings - 2016 IEEE 2nd International Conference on Big Data Computing Service and Applications, BigDataService 2016, May 2016, pp. 210–215, doi: 10.1109/BigDataService.2016.37.

T. Koltay, “Quality of Open Research Data: Values, Convergences and Governance,” Information, vol. 11, no. 4, p. 175, Mar. 2020, doi: 10.3390/info11040175.

Congreso de la República de Colombia, “LEY 1712 DE 2014,” Imprenta Nacional de Colombia, 2014. http://suin.gov.co/viewDocument.asp?ruta=Leyes/1687091 (accessed May 04, 2020).

J. Merino, I. Caballero, B. Rivas, M. Serrano, and M. Piattini, “A Data Quality in Use model for Big Data,” Futur. Gener. Comput. Syst., vol. 63, pp. 123–130, Oct. 2016, doi: 10.1016/j.future.2015.11.024.

A. Wahyudi, G. Kuk, and M. Janssen, “A Process Pattern Model for Tackling and Improving Big Data Quality,” vol. 20, no. 3, pp. 457–469, 2018, doi: https://doi.org/10.1007/s10796-017-9822-7.

D. Williams and H. Tang, “Data Quality Management for Industry 4.0: A Survey,” 2020. [Online]. Available: www.asq.org.

J. Kucera and D. Chlapek, “Benefits and Risks of Open Government Data,” J. Syst. Integr., vol. 5, no. 1, pp. 30–41, 2014, doi: http://dx.doi.org/10.20470/jsi.v5i1.185.

S. Martin, M. Foulonneau, S. Turki, and M. Ihadjadene, “Open Data: Barriers, Risks and Opportunities,” Luxemburgo, 2012. Accessed: Apr. 28, 2020. [Online]. Available: http://www.data.rennes-metropole.fr/.

A. Muente-Kunigami and F. Serale, “Los datos abiertos en América Latina y el Caribe,” Los datos abiertos en América Lat. y el Caribe, 2018, doi: 10.18235/0001202.

Z. Yang and A. Kankanhalli, “Innovation in government services: The case of open data,” in IFIP Advances in Information and Communication Technology, 2013, vol. 402, pp. 644–651, doi: 10.1007/978-3-642-38862-0_47.

S. Cadena-Vela, A. Fuster-Guilló, and J. N. Mazón, “Publicando datos abiertos considerando criterios de calidad,” 2019.

Diario Oficial de la Federación, “GUÍA de Implementación de la Política de Datos Abiertos - México,” pp. 1–13, 2015, [Online]. Available: http://www.dof.gob.mx/nota_detalle.php?codigo=5397117&fecha=18/06/2015&print=true.

E. Kalampokis, E. Tambouris, and K. Tarabanis, “Open government data: A stage model,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, vol. 6846 LNCS, pp. 235–246, doi: 10.1007/978-3-642-22878-0_20.

Consejo Nacional de Política Económica y Social de la República de Colombia, “Política Nacional de Explotación de Datos (Big Data),” 2018. Accessed: Apr. 25, 2020. [Online]. Available: https://colaboracion.dnp.gov.co/CDT/Conpes/Económicos/3920.pdf.

N. A. M. Sabri, N. A. Emran, and N. Harum, “Government open data portals: A measurement of data veracity coverage,” Int. J. Innov. Technol. Explor. Eng., vol. 8, no. 12, pp. 1975–1983, Oct. 2019, doi: 10.35940/ijitee.L2908.1081219.

J. Wieczorkowski, “Barriers to using open government data,” in ACM International Conference Proceeding Series, Jun. 2019, pp. 15–20, doi: 10.1145/3340017.3340022.

S. Goldsmith y S. Crawford, “El análisis predictivo: impulsando la mejora a partir de los datos,” 2016, [Online]. Available: 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.