Modeling operational model of data governance in government: Case study: Government agency X in Jakarta

Yulfitri, Alivia

doi:10.1109/icitsi.2016.7858207

Cited by 13 publications

(7 citation statements)

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“…Maturity Model, namely people, policies, and capabilities in the component of the foundation and project aspects, also on specific data management planning activity contained in the DMBOK data governance so that organization can improve. This aligns with another research that data governance is needed efforts to make sure the improvement of data management quality also reducing inaccurate data within the organization (Yulfitri, 2016).…”

Section: Recommendations Are Based On Each Dimension and Component Of...supporting

confidence: 81%

Data Governance Maturity Level at the National Archives of the Republic of Indonesia

Wulandari

2020

j. penelit. pos inform.

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The National Archives of the Republic of Indonesia (ANRI) as an institution given mandate to carry out state duty in the field of archives has vision as a pillar of good governance and nation’s collective memory. To implement it, the study of the grand design of the archival system arranged. That is very related to the data governance implementation. Therefore, ANRI needs to know the maturity level of the data governance function which had been held. The assessment was done by referring to the Stanford Data Governance Model. The result showed that data governance is still at an initial level. The foundational aspects are on an average of 1,2 which contains awareness, formalization, and metadata. While on project aspects are on average of 1,5 consisting of stewardship, data quality, and master data. In total, ANRI is at the level of 1,35. ANRI needs to make improvements for data management planning activities referring to Data Management Body of Knowledge (DMBOK) with a focus on people, policies, and capabilities dimensions in all aspects. This research is expected to be helpful for ANRI to make improvements corresponding to the recommendations thus ANRI could implement national data archival properly.

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Section: Recommendations Are Based On Each Dimension and Component Of...supporting

confidence: 81%

Data Governance Maturity Level at the National Archives of the Republic of Indonesia

Wulandari

2020

j. penelit. pos inform.

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“…Data governance involves processes and controls to ensure that information at the data level raw alphanumeric characters that the organization is gathering and inputting is true and accurate, and unique. It involves data cleansing, data inaccurate, or extraneous data and data deduplication, to eliminate redundant occurrences of data [9].…”

Section: Fig 3 Comparison Results Of Clustering Betweenmentioning

confidence: 99%

Deduplication for Data Profiling using Open Source Platform

Gunatama¹,

Fabrianti²,

Hasibuan

2019

Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018)

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Many companies still do not know of the importance of data quality for the company's improvement. Many companies in Indonesia, especially BUMN and Government companies have only single application with single database, which cause a problem related to duplication of data between columns, tables and applications when the application is integrated with other applications. This problem can be handled by doing the data preprocess, one of the data preprocess method is data profiling. Data profiling is the process of gathering information that can be determined by process or logic. The process of profiling data can be done with various tools both paid and open source tools, each has advantages both in performance and in data processing according to the desired case study. In this study, the main focus is on data analysis by conducting data profiling using deduplication method. The results of the profiling will be implemented in logical form in open source application and will do comparisons between open source applications.

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“…Sin embargo, este puede ser complementado con los marcos de referencia acorde a las capacidades de la entidad o construir un modelo propio. Los resultados reportados por investigaciones en gestión y GD, presentan análisis concluyentes relacionados con la entrega de estándares y modelos para la implementación de GD en empresas de diferentes tamaños [7]; modelo operativo que incluye roles y responsabilidades [30]; modelos colaborativos entre instituciones a partir de combinaciones de marcos [31]; modelos que orientan la evaluación de un GD [32]; marco de arquitectura de información para la gobernanza de la información [33]; marco conceptual para el GD a partir de revisiones bibliográficas estructuradas de artículos de investigación y publicaciones profesionales [6] y demás referentes de la literatura especializada que sirven para generar aportes o proporcionen herramientas bases para que las entidades públicas puedan tener su GD.…”

Section: Discussionunclassified

Caracterización de marcos de referencia que apoyan la implementación del gobierno de datos propuesto por MinTIC para entidades públicas

Ordóñez

González

2021

Investigación e Innovación en Ingenierías

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El gobierno de datos (GD) asegura que los datos cumplan con las expectativas del negocio, reduzca costos de gestión, protección y desarrolle los datos como un activo estratégico y de valor. En Colombia, el Ministerio de Tecnologías de la Información y las Comunicaciones (MinTIC) ha entregado una herramienta conceptual para que las entidades públicas puedan adoptar la Arquitectura TI Colombia, definiendo lineamientos y guías para facilitar su entendimiento y aplicación. Este artículo tiene como Objetivo: Caracterizar el alcance de los marcos de referencia para facilitar la implementación del GD establecido por MinTIC para las entidades públicas. Metodología: El proceso consistió en: 1) identificar marcos de referencia, 2) caracterizar relación de marcos de referencia con lineamientos y elementos, 3) identificar alineación de los ámbitos y aportes de los marcos de gestión y GD para la implementación del GD, y 4) analizar los resultados de la investigación. Resultados: El proceso permitió identificar los elementos que cada marco de referencia aporta a la implementación del GD de acuerdo a los lineamientos establecidos por el MinTIC. Conclusiones: El Data Management Body of Knowledge del Data Management Association (DAMA) entrega herramientas y técnicas que facilitan la implementación de lo estipulado por el ministerio, el cual puede complementarse con elementos del Data Governance Framework del Data Governance Institute (DGI) y The Open Group Architecture Framework (TOGAF).

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Modeling operational model of data governance in government: Case study: Government agency X in Jakarta

Cited by 13 publications

References 0 publications

Data Governance Maturity Level at the National Archives of the Republic of Indonesia

Data Governance Maturity Level at the National Archives of the Republic of Indonesia

Deduplication for Data Profiling using Open Source Platform

Caracterización de marcos de referencia que apoyan la implementación del gobierno de datos propuesto por MinTIC para entidades públicas

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