A Governing Framework for Data-Driven Small Organizations in Colombia

Historically, data has been seen as the result of business transactions, with a little value beyond them, but they were not treated as a valuable shared asset. From the early 1990s, business decisions and processes started to be driven increasingly by data and data analysis. Further investment in da...

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Autores:
Heredia-Vizcaíno, Diana
Nieto, Wilson
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad Simón Bolívar
Repositorio:
Repositorio Digital USB
Idioma:
eng
OAI Identifier:
oai:bonga.unisimon.edu.co:20.500.12442/4184
Acceso en línea:
https://hdl.handle.net/20.500.12442/4184
Palabra clave:
Data governance
Data driven organizations
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License
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
id USIMONBOL2_80ee1fa9f23f31883ed6d12ed58b19c4
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network_acronym_str USIMONBOL2
network_name_str Repositorio Digital USB
repository_id_str
dc.title.eng.fl_str_mv A Governing Framework for Data-Driven Small Organizations in Colombia
title A Governing Framework for Data-Driven Small Organizations in Colombia
spellingShingle A Governing Framework for Data-Driven Small Organizations in Colombia
Data governance
Data driven organizations
title_short A Governing Framework for Data-Driven Small Organizations in Colombia
title_full A Governing Framework for Data-Driven Small Organizations in Colombia
title_fullStr A Governing Framework for Data-Driven Small Organizations in Colombia
title_full_unstemmed A Governing Framework for Data-Driven Small Organizations in Colombia
title_sort A Governing Framework for Data-Driven Small Organizations in Colombia
dc.creator.fl_str_mv Heredia-Vizcaíno, Diana
Nieto, Wilson
dc.contributor.author.none.fl_str_mv Heredia-Vizcaíno, Diana
Nieto, Wilson
dc.subject.eng.fl_str_mv Data governance
Data driven organizations
topic Data governance
Data driven organizations
description Historically, data has been seen as the result of business transactions, with a little value beyond them, but they were not treated as a valuable shared asset. From the early 1990s, business decisions and processes started to be driven increasingly by data and data analysis. Further investment in data management was the approach taken to tackle the increasing volume, velocity, and variety of data, such as complex data repositories, data warehouses, and complex information systems. Data needed to be shared between multiple systems, which gave origin to the master data management. The first attempts of Data Management and Data Governance were failed, owing that, they were conducted by Information Technology division; today, Data Governance is still an under-researched area. In Colombia, very few organizations have started to implement Data Governance programs. There are IT Governance initiatives, within which there may be some particular linings for Data Quality or Metadata Management, as well as for Information Security. In the year 2014, the Ministerio de Tecnologías de la Información (MinTIC, a national government organization) designed a guide for Data Governance, which must be followed by every public institution, as part of the national policies such as Gobierno Digital Colombia. Small organizations, generally, know little or nothing about this initiative, but are aware of the importance of exploiting the data to obtain useful knowledge for the development of their businesses.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2019-10-21T16:47:34Z
dc.date.available.none.fl_str_mv 2019-10-21T16:47:34Z
dc.date.issued.none.fl_str_mv 2019-03
dc.type.eng.fl_str_mv article
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.identifier.issn.eng.fl_str_mv 21945357
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12442/4184
identifier_str_mv 21945357
url https://hdl.handle.net/20.500.12442/4184
dc.language.iso.eng.fl_str_mv eng
language eng
dc.rights.*.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
http://purl.org/coar/access_right/c_16ec
dc.publisher.eng.fl_str_mv Springer
dc.source.eng.fl_str_mv Advances in Intelligent Systems and Computing
Volumen 930
institution Universidad Simón Bolívar
dc.source.uri.spa.fl_str_mv https://doi.org/10.1007/978-3-030-16181-1_59
dc.source.bibliographicCitation.eng.fl_str_mv Al-Ruithe, M., Benkhelifa, E., Hameed, K.: A systematic literature review of data governance and cloud data governance. Pers. Ubiquit. Comput. 22, 1–21 (2018) CrossRef
The Data Governance Institute, The Data Governance Framework. http://www.datagovernance.com/wp-content/uploads/2014/11/dgi_framework.pdf. Accessed Feb 2018
DeStefano, R., Tao, L., Gai, K.: Improving data governance in large organizations through ontology and linked data. In: IEEE 3rd International Conference on Cyber Security and Cloud Computing, Beijing (2016)
Tallon, P.: Corporate governance of big data: perspectives on value. Risk Cost Comput. 46(6), 32–38 (2013)
Castillo, L., Raymundo, C., Domínguez, F.: Information architecture model for the successful data governance initiative in the Peruvian higher education sector. In: IEEE XXIV International Conference on Electronics, Electrical Engineering and Computing (INTERCON), Cusco (2017)
Kim, H., Cho, J.: Data governance framework for big data implementation with a case of Korea. In: IEEE 6th International Congress on Big Data, Honolulu (2017)
Wróbel, A., Komnata, K., Rudek, K.: IBM data governance solutions. In: International Conference on Behavioral, Economic, Socio-cultural Computing (BESC), Krakow (2017)
Bhansali, N.: The Role of Data Governance in an Organization, Data Governance: Creating Value from Information Assets, p. 268. Auerbach Publications (2013)
Zhan, S., Gao, H., Yang, L., Song, J.: Research on big data governance based on actor-network theory and petri nets. In: Proceedings of the 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design, Wellington (2017)
Khatri, V., Brown, C.: Designing data governance. Commun. ACM 53(1), 148–152 (2010) CrossRef
Yulfitri, A.: Modeling operational model of data governance in government. In: International Conference on Information Technology Systems and Innovation (ICITSI), Bandung (2016)
Yamada, A., Peran, M.: Governance framework for enterprise analytics and data. In: IEEE International Conference on Big Data (BIGDATA), Boston (2017)
Nwabude, C., Begg, C., McRobbie, G.: Data governance in small businesses – why small business framework should be different. In: 3rd International Conference on Business, Management and Governance, Las Vegas (2014)
Eber, K., Otto, B., Österle, H.: One size does not fit all—a contingency approach to data governance. ACM J. Data Inf. Qual. 1(1), 1–27 (2009)
Al- Riuthe, M., Benkhelifa, E.: A conceptual framework for cloud data governance-driven decision making. In: International Conference on the Frontiers and Advances in Data Science (FADS), Xian (2017)
Al-Ruithe, M., Benkhelifa, E., Hameed, K.: Key dimensions for cloud data governance. In: IEEE 4th International Conference on Future Internet of Things and Cloud, Vienna (2016)
Stanford University: Data Governance at Stanford: A Data Governance Overview. http://web.stanford.edu/dept/pres-provost/irds/dg/files/DG-News001.pdf. Accessed Mar 2017
Stanford University: Data Governance Maturity Model - Guiding Questions for each Component-Dimension, https://web.stanford.edu/dept/pres-provost/irds/dg/files/StanfordDataGovernanceMaturityModel.pdf. Accessed Mar 2018
IBM Corporation: IBM Data Governance Council Maturity Model, IBM Corp. (2007)
dc.source.bibliographicCitation.spa.fl_str_mv Mejía Jaramillo, M.: Arquitectura TI Colombia. http://www.mintic.gov.co/arquitecturati/630/w3-article-9258.html. Accessed: Apr 2018
Osorio, M., Guerrero, C., González-Zabala, M.: La gobernabilidad de datos como apoyo en la gestión de datos de instituciones de educación superior, Revista Espacios, 38(51), 11–23 (2017)
Anaya, B.: Plan de Gobernabilidad de Datos Abiertos Para Entidades Públicas Territoriales del Área Metropolitana de Bucaramanga, Bucaramanga (2017)
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spelling Heredia-Vizcaíno, Diana673a3d69-fc5b-4a23-8f04-9845fd75eaaaNieto, Wilsonfe2eaabc-b08a-4b7d-8ccc-17698f5245e72019-10-21T16:47:34Z2019-10-21T16:47:34Z2019-0321945357https://hdl.handle.net/20.500.12442/4184Historically, data has been seen as the result of business transactions, with a little value beyond them, but they were not treated as a valuable shared asset. From the early 1990s, business decisions and processes started to be driven increasingly by data and data analysis. Further investment in data management was the approach taken to tackle the increasing volume, velocity, and variety of data, such as complex data repositories, data warehouses, and complex information systems. Data needed to be shared between multiple systems, which gave origin to the master data management. The first attempts of Data Management and Data Governance were failed, owing that, they were conducted by Information Technology division; today, Data Governance is still an under-researched area. In Colombia, very few organizations have started to implement Data Governance programs. There are IT Governance initiatives, within which there may be some particular linings for Data Quality or Metadata Management, as well as for Information Security. In the year 2014, the Ministerio de Tecnologías de la Información (MinTIC, a national government organization) designed a guide for Data Governance, which must be followed by every public institution, as part of the national policies such as Gobierno Digital Colombia. Small organizations, generally, know little or nothing about this initiative, but are aware of the importance of exploiting the data to obtain useful knowledge for the development of their businesses.engSpringerAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/http://purl.org/coar/access_right/c_16ecAdvances in Intelligent Systems and ComputingVolumen 930https://doi.org/10.1007/978-3-030-16181-1_59Al-Ruithe, M., Benkhelifa, E., Hameed, K.: A systematic literature review of data governance and cloud data governance. Pers. Ubiquit. Comput. 22, 1–21 (2018) CrossRefThe Data Governance Institute, The Data Governance Framework. http://www.datagovernance.com/wp-content/uploads/2014/11/dgi_framework.pdf. Accessed Feb 2018DeStefano, R., Tao, L., Gai, K.: Improving data governance in large organizations through ontology and linked data. In: IEEE 3rd International Conference on Cyber Security and Cloud Computing, Beijing (2016)Tallon, P.: Corporate governance of big data: perspectives on value. Risk Cost Comput. 46(6), 32–38 (2013)Castillo, L., Raymundo, C., Domínguez, F.: Information architecture model for the successful data governance initiative in the Peruvian higher education sector. In: IEEE XXIV International Conference on Electronics, Electrical Engineering and Computing (INTERCON), Cusco (2017)Kim, H., Cho, J.: Data governance framework for big data implementation with a case of Korea. In: IEEE 6th International Congress on Big Data, Honolulu (2017)Wróbel, A., Komnata, K., Rudek, K.: IBM data governance solutions. In: International Conference on Behavioral, Economic, Socio-cultural Computing (BESC), Krakow (2017)Bhansali, N.: The Role of Data Governance in an Organization, Data Governance: Creating Value from Information Assets, p. 268. Auerbach Publications (2013)Zhan, S., Gao, H., Yang, L., Song, J.: Research on big data governance based on actor-network theory and petri nets. In: Proceedings of the 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design, Wellington (2017)Khatri, V., Brown, C.: Designing data governance. Commun. ACM 53(1), 148–152 (2010) CrossRefYulfitri, A.: Modeling operational model of data governance in government. In: International Conference on Information Technology Systems and Innovation (ICITSI), Bandung (2016)Yamada, A., Peran, M.: Governance framework for enterprise analytics and data. In: IEEE International Conference on Big Data (BIGDATA), Boston (2017)Nwabude, C., Begg, C., McRobbie, G.: Data governance in small businesses – why small business framework should be different. In: 3rd International Conference on Business, Management and Governance, Las Vegas (2014)Eber, K., Otto, B., Österle, H.: One size does not fit all—a contingency approach to data governance. ACM J. Data Inf. Qual. 1(1), 1–27 (2009)Al- Riuthe, M., Benkhelifa, E.: A conceptual framework for cloud data governance-driven decision making. In: International Conference on the Frontiers and Advances in Data Science (FADS), Xian (2017)Al-Ruithe, M., Benkhelifa, E., Hameed, K.: Key dimensions for cloud data governance. In: IEEE 4th International Conference on Future Internet of Things and Cloud, Vienna (2016)Stanford University: Data Governance at Stanford: A Data Governance Overview. http://web.stanford.edu/dept/pres-provost/irds/dg/files/DG-News001.pdf. Accessed Mar 2017Stanford University: Data Governance Maturity Model - Guiding Questions for each Component-Dimension, https://web.stanford.edu/dept/pres-provost/irds/dg/files/StanfordDataGovernanceMaturityModel.pdf. Accessed Mar 2018IBM Corporation: IBM Data Governance Council Maturity Model, IBM Corp. (2007)Mejía Jaramillo, M.: Arquitectura TI Colombia. http://www.mintic.gov.co/arquitecturati/630/w3-article-9258.html. Accessed: Apr 2018Osorio, M., Guerrero, C., González-Zabala, M.: La gobernabilidad de datos como apoyo en la gestión de datos de instituciones de educación superior, Revista Espacios, 38(51), 11–23 (2017)Anaya, B.: Plan de Gobernabilidad de Datos Abiertos Para Entidades Públicas Territoriales del Área Metropolitana de Bucaramanga, Bucaramanga (2017)Data governanceData driven organizationsA Governing Framework for Data-Driven Small Organizations in Colombiaarticlehttp://purl.org/coar/resource_type/c_6501CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://bonga.unisimon.edu.co/bitstreams/b809f42e-67f6-4c5c-b562-9269c5d4dd28/download4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-8381https://bonga.unisimon.edu.co/bitstreams/3de0fd0b-ec2d-4293-8292-373e84dfc053/download733bec43a0bf5ade4d97db708e29b185MD5320.500.12442/4184oai:bonga.unisimon.edu.co:20.500.12442/41842024-08-14 21:53:20.262http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internacionalmetadata.onlyhttps://bonga.unisimon.edu.coRepositorio Digital Universidad Simón Bolívarrepositorio.digital@unisimon.edu.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