El gobierno “archivístico” del dato

Jordi Serra Serra

doi:10.51598/tab.1017

Studia

Núm. 27 (2024): Sostenibilidad, territorio y valor. IX Congreso de Archivos de Castilla y León

El gobierno “archivístico” del dato

Jordi Serra Serra ^▸^▾

Suscripción o acceso de pago pdf (EUR 3)

DOI: https://doi.org/10.51598/tab.1017
Enviado: November 5, 2024
Publicado: 2024-11-19

Resumen

Podemos afirmar que el concepto de “gobierno del dato” es, junto con el de inteligencia artificial, el trending topic de la bibliografía reciente. Distintos ámbitos convergen en destacar repetidamente su transcendencia en tanto que elemento clave de una óptima gestión de la información. El objetivo de este artículo es conocer el contexto de este concepto, sus formas de aplicación y las tecnologías que utiliza, y su relación con la gestión documental y los archivos. El artículo plantea como conclusión una propuesta metodológica para poder gobernar los datos desde una perspectiva archivística.

We can see the concept of “data governance” as the trending topic of recent bibliography, together with that of artificial intelligence. Many knowledge areas agree to highlight the importance of this concept as a key element of an optimal information management. The objective of this article is to know about the context of this concept, how is it implemented and what kind of technologies it uses, and also its relationship with records management and archives. The article concludes with a methodological proposal to govern data from an archival perspective.

Citas

Alalwan, J., & Thomas, M. (2011). Designing ERM ontology to evaluate records management system. Proceedings of the Annual Hawaii International Conference on System Sciences.
Bustelo, C. (2011). Norma ISO 30300. Management system for records. Anuario ThinkEPI, 5.
Butler, D. (2011). Master Data Management (An Oracle White Paper). Oracle Corporation.
Chen, Z. (2022). Observations and Expectations on Recent Developments of Data Lakes. Procedia Computer Science, 214.
Codd, E. F. (1970). A relational model of data for large shared data banks. Communications of the ACM, 13(6).
Data Catalog Vocabulary (DCAT)—Version 2. (2020). W3C Recommendation. https://www.w3.org/TR/vocab-dcat-2/
Dixon, J. (2010). Pentaho, Hadoop, and Data Lakes. James Dixon’s Blog. https://jamesdixon .wordpress.com/2010/10/14/pentaho-hadoop-and-data-lakes/
Earley, S., & Henderson, D. (Ed.). (2017). DAMA-DMBOK: Data management body of knowledge (2nd edition). Data Management Association.
Foscarini, F. (2012). Understanding functions: An organizational culture perspective. Records Management Journal, 22(1).
Ghiran, A.-M., & Buchmann, R. A. (2019). The Model-Driven Enterprise Data Fabric: A Proposal Based on Conceptual Modelling and Knowledge Graphs. En Knowledge Science, Engineering and Management. Springer International Publishing.
ISO/TC46/SC11-Archives/records management (2023). Comparison of ISO 24143-Information Governance and ISO 30300 Management Systems for Records. International Organization for Standardization.
Johnson, T., & Dasu, T. (2003). Data quality and data cleaning: An overview. SIGMOD/PODS03: International Conference on Management of Data and Symposium on Principles Database and Systems, San Diego California.
Julbe, F. (2023). Evolució del processat de dades: Des dels processos manuals fins el Big Data i els nous paradigmes. Lligall; Revista catalana d’arxivística, 46.
Kandel, S., Heer, J., Plaisant, C., Kennedy, J., Van Ham, F., Riche, N. H., Weaver, C., Lee, B., Brodbeck, D., & Buono, P. (2011). Research directions in data wrangling: Visualizations and transformations for usable and credible data. Information Visualization, 10(4).
Khine, P. P., & Wang, Z. S. (2018). Data lake: A new ideology in big data era. ITM Web of Conferences, 17, 03025.
Klischewski, R. (2006). Ontologies for e‐document management in public administration. Business Process Management Journal, 12(1).
Labadie, C., Legner, C., Eurich, M., & Fadler, M. (2020). FAIR Enough? Enhancing the Usage of Enterprise Data with Data Catalogs. IEEE 22nd Conference on Business Informatics (CBI), Antwerp, Belgium.
Lappin, J. (2010). What will be the next records management orthodoxy? Records Management Journal, 20(3).
Lemieux, V. L., Gormly, B., & Rowledge, L. (2014). Meeting Big Data challenges with visual analytics: The role of records management. Records Management Journal, 24(2).
Ludlow, S. (2016). ECM Is Not Doomed to Fail. Enterprise Information Management. https://www.opentext.jp/file_source/OpenText/en_US/PDF/opentext-article-kmworld-stephen-ludlow-ecm-is-not-doomed-to-fail-en.pdf
Quílez, J. (2011). Aproximació a les ontologies: Definició i construcció. Aplicació al camp de l’arxivística. Lligall; Revista catalana d’arxivística, 32.
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Sarkar, P. (2015). Data as a service: A framework for providing reusable enterprise data services. IEEE.
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Smit, F., Glaudemans, A., & Jonker, R. (Ed.). (2017). Archives in liquid times. Stichting Archiefpublicaties.
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Upward, F. (1997). Structuring the records continuum (Series of two parts) Part 2: Structuration theory and recordkeeping. Archives and Manuscripts, 25(1).
Ur, A., Muzammal, M., David, G., & Ribeiro, C. (2015). Database Preservation: The DBPreserve Approach. International Journal of Advanced Computer Science and Applications, 6(12).
Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J. W., da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., … Mons, B. (2016). Comment: The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3.

Palabras clave

GOBIERNO DEL DATO
GOBIERNO DE LA INFORMACIÓN
GESTIÓN DOCUMENTAL
DATA GOVERNANCE
NFORMATION GOVERNANCE
RECORDS MANAGEMENT

Cómo citar

Serra Serra , J. (2024). El gobierno “archivístico” del dato. Tábula, (27), 187–204. https://doi.org/10.51598/tab.1017

Aviso de derechos de autor/a

[1] Alalwan, J., & Thomas, M. (2011). Designing ERM ontology to evaluate records management system. Proceedings of the Annual Hawaii International Conference on System Sciences.

[2] Bustelo, C. (2011). Norma ISO 30300. Management system for records. Anuario ThinkEPI, 5.

[3] Butler, D. (2011). Master Data Management (An Oracle White Paper). Oracle Corporation.

[4] Chen, Z. (2022). Observations and Expectations on Recent Developments of Data Lakes. Procedia Computer Science, 214.

[5] Codd, E. F. (1970). A relational model of data for large shared data banks. Communications of the ACM, 13(6).

[6] Data Catalog Vocabulary (DCAT)—Version 2. (2020). W3C Recommendation. https://www.w3.org/TR/vocab-dcat-2/

[7] Dixon, J. (2010). Pentaho, Hadoop, and Data Lakes. James Dixon’s Blog. https://jamesdixon .wordpress.com/2010/10/14/pentaho-hadoop-and-data-lakes/

[8] Earley, S., & Henderson, D. (Ed.). (2017). DAMA-DMBOK: Data management body of knowledge (2nd edition). Data Management Association.

[9] Foscarini, F. (2012). Understanding functions: An organizational culture perspective. Records Management Journal, 22(1).

[10] Ghiran, A.-M., & Buchmann, R. A. (2019). The Model-Driven Enterprise Data Fabric: A Proposal Based on Conceptual Modelling and Knowledge Graphs. En Knowledge Science, Engineering and Management. Springer International Publishing.

[11] ISO/TC46/SC11-Archives/records management (2023). Comparison of ISO 24143-Information Governance and ISO 30300 Management Systems for Records. International Organization for Standardization.

[12] Johnson, T., & Dasu, T. (2003). Data quality and data cleaning: An overview. SIGMOD/PODS03: International Conference on Management of Data and Symposium on Principles Database and Systems, San Diego California.

[13] Julbe, F. (2023). Evolució del processat de dades: Des dels processos manuals fins el Big Data i els nous paradigmes. Lligall; Revista catalana d’arxivística, 46.

[14] Kandel, S., Heer, J., Plaisant, C., Kennedy, J., Van Ham, F., Riche, N. H., Weaver, C., Lee, B., Brodbeck, D., & Buono, P. (2011). Research directions in data wrangling: Visualizations and transformations for usable and credible data. Information Visualization, 10(4).

[15] Khine, P. P., & Wang, Z. S. (2018). Data lake: A new ideology in big data era. ITM Web of Conferences, 17, 03025.

[16] Klischewski, R. (2006). Ontologies for e‐document management in public administration. Business Process Management Journal, 12(1).

[17] Labadie, C., Legner, C., Eurich, M., & Fadler, M. (2020). FAIR Enough? Enhancing the Usage of Enterprise Data with Data Catalogs. IEEE 22nd Conference on Business Informatics (CBI), Antwerp, Belgium.

[18] Lappin, J. (2010). What will be the next records management orthodoxy? Records Management Journal, 20(3).

[19] Lemieux, V. L., Gormly, B., & Rowledge, L. (2014). Meeting Big Data challenges with visual analytics: The role of records management. Records Management Journal, 24(2).

[20] Ludlow, S. (2016). ECM Is Not Doomed to Fail. Enterprise Information Management. https://www.opentext.jp/file_source/OpenText/en_US/PDF/opentext-article-kmworld-stephen-ludlow-ecm-is-not-doomed-to-fail-en.pdf

[21] Quílez, J. (2011). Aproximació a les ontologies: Definició i construcció. Aplicació al camp de l’arxivística. Lligall; Revista catalana d’arxivística, 32.

[22] Radio, E., & Kalwara, J. (2022). The trajectory of linked data in late capitalism. Journal of Documentation, 78(3).

[23] Reina, L. (2023). Noves arquitectures de dades. Lligall; Revista catalana d’arxivística, 46.

[24] Sarkar, P. (2015). Data as a service: A framework for providing reusable enterprise data services. IEEE.

[25] Serra, J. (2024). El rol de la sèrie documental en entorns de gestió dadificats: Una proposta metodològica en el marc de la governança de la informació. Tesi doctoral. Universitat de Barcelona. http://hdl.handle.net/10803/690381.

[26] SIARD-2.2 Format Specification (versión 2.2). (2021). DILCIS Board, Swiss Federal Archives. https://siard.dilcis.eu/SIARD%202.2/SIARD%202.2.pdf

[27] Smit, F., Glaudemans, A., & Jonker, R. (Ed.). (2017). Archives in liquid times. Stichting Archiefpublicaties.

[28] Upward, F. (1996). Structuring the records continuum (Series of two parts) Part 1: Post custodial principles and properties. Archives and Manuscripts, 24(2).

[29] Upward, F. (1997). Structuring the records continuum (Series of two parts) Part 2: Structuration theory and recordkeeping. Archives and Manuscripts, 25(1).

[30] Ur, A., Muzammal, M., David, G., & Ribeiro, C. (2015). Database Preservation: The DBPreserve Approach. International Journal of Advanced Computer Science and Applications, 6(12).

[31] Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J. W., da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., … Mons, B. (2016). Comment: The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3.