Applying an enterprise data model in government:

Teresa M. Harrison; Martha Avila-Marilla; Donna Canestraro; Nicolas Soto; Theresa Pardo; Megan Sutherland; B. Brian Burke; Mila Gasco

doi:10.1145/3325112.3325219

Applying an enterprise data model in government:

Teresa M. Harrison, Martha Avila-Marilla, Donna Canestraro, Nicolas Soto, Theresa Pardo, Megan Sutherland, B. Brian Burke, Mila Gasco

Producción científica: Capítulo del libro › Contribución a congreso/conferencia › revisión exhaustiva

5 Citas (Scopus)

Resumen

We describe the experience of a sample of US state child welfare organizations that are implementing, or deciding to transition, to a new model of information system, now explicitly recommended by the Department of Health and Human Services of the US Federal Government. The new Comprehensive Child Welfare Information System was intended to replace an older problematic model of information management and draws inspiration from enterprise-level data intensive thinking. It promises to enable states to design systems that meet federal reporting requirements and improve case-related and policy decision making.

Idioma original	Inglés
Título de la publicación alojada	Proceedings of the 20th Annual International Conference on Digital Government Research
Subtítulo de la publicación alojada	Governance in the Age of Artificial Intelligence, dg.o 2019
Editores	Yu-Che Chen, Fadi Salem, Anneke Zuiderwijk
Editorial	Association for Computing Machinery
Páginas	265-271
Número de páginas	7
ISBN (versión digital)	9781450372046
DOI	https://doi.org/10.1145/3325112.3325219
Estado	Publicada - 18 jun 2019
Publicado de forma externa	Sí
Evento	20th Annual International Conference on Digital Government Research: Governance in the Age of Artificial Intelligence, dg.o 2019 - Dubai, Emiratos Árabes Unidos Duración: 18 jun 2019 → 20 jun 2019

Serie de la publicación

Nombre	ACM International Conference Proceeding Series

Conferencia

Conferencia	20th Annual International Conference on Digital Government Research: Governance in the Age of Artificial Intelligence, dg.o 2019
País/Territorio	Emiratos Árabes Unidos
Ciudad	Dubai
Período	18/06/19 → 20/06/19

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1145/3325112.3325219

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Harrison, T. M., Avila-Marilla, M., Canestraro, D., Soto, N., Pardo, T., Sutherland, M., Brian Burke, B., & Gasco, M. (2019). Applying an enterprise data model in government: En Y.-C. Chen, F. Salem, & A. Zuiderwijk (Eds.), Proceedings of the 20th Annual International Conference on Digital Government Research: Governance in the Age of Artificial Intelligence, dg.o 2019 (pp. 265-271). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3325112.3325219

Harrison, Teresa M. ; Avila-Marilla, Martha ; Canestraro, Donna et al. / Applying an enterprise data model in government:. Proceedings of the 20th Annual International Conference on Digital Government Research: Governance in the Age of Artificial Intelligence, dg.o 2019. editor / Yu-Che Chen ; Fadi Salem ; Anneke Zuiderwijk. Association for Computing Machinery, 2019. pp. 265-271 (ACM International Conference Proceeding Series).

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title = "Applying an enterprise data model in government:",

abstract = "We describe the experience of a sample of US state child welfare organizations that are implementing, or deciding to transition, to a new model of information system, now explicitly recommended by the Department of Health and Human Services of the US Federal Government. The new Comprehensive Child Welfare Information System was intended to replace an older problematic model of information management and draws inspiration from enterprise-level data intensive thinking. It promises to enable states to design systems that meet federal reporting requirements and improve case-related and policy decision making.",

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author = "Harrison, {Teresa M.} and Martha Avila-Marilla and Donna Canestraro and Nicolas Soto and Theresa Pardo and Megan Sutherland and {Brian Burke}, B. and Mila Gasco",

note = "Publisher Copyright: {\textcopyright} 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM.; 20th Annual International Conference on Digital Government Research: Governance in the Age of Artificial Intelligence, dg.o 2019 ; Conference date: 18-06-2019 Through 20-06-2019",

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Harrison, TM, Avila-Marilla, M, Canestraro, D, Soto, N, Pardo, T, Sutherland, M, Brian Burke, B & Gasco, M 2019, Applying an enterprise data model in government: En Y-C Chen, F Salem & A Zuiderwijk (eds.), Proceedings of the 20th Annual International Conference on Digital Government Research: Governance in the Age of Artificial Intelligence, dg.o 2019. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 265-271, 20th Annual International Conference on Digital Government Research: Governance in the Age of Artificial Intelligence, dg.o 2019, Dubai, Emiratos Árabes Unidos, 18/06/19. https://doi.org/10.1145/3325112.3325219

Applying an enterprise data model in government: / Harrison, Teresa M.; Avila-Marilla, Martha; Canestraro, Donna et al.
Proceedings of the 20th Annual International Conference on Digital Government Research: Governance in the Age of Artificial Intelligence, dg.o 2019. ed. / Yu-Che Chen; Fadi Salem; Anneke Zuiderwijk. Association for Computing Machinery, 2019. p. 265-271 (ACM International Conference Proceeding Series).

Producción científica: Capítulo del libro › Contribución a congreso/conferencia › revisión exhaustiva

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AU - Brian Burke, B.

AU - Gasco, Mila

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AB - We describe the experience of a sample of US state child welfare organizations that are implementing, or deciding to transition, to a new model of information system, now explicitly recommended by the Department of Health and Human Services of the US Federal Government. The new Comprehensive Child Welfare Information System was intended to replace an older problematic model of information management and draws inspiration from enterprise-level data intensive thinking. It promises to enable states to design systems that meet federal reporting requirements and improve case-related and policy decision making.

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Harrison TM, Avila-Marilla M, Canestraro D, Soto N, Pardo T, Sutherland M et al. Applying an enterprise data model in government: En Chen YC, Salem F, Zuiderwijk A, editores, Proceedings of the 20th Annual International Conference on Digital Government Research: Governance in the Age of Artificial Intelligence, dg.o 2019. Association for Computing Machinery. 2019. p. 265-271. (ACM International Conference Proceeding Series). doi: 10.1145/3325112.3325219

Applying an enterprise data model in government:

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