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

Producció científica: Capítol de llibre › Contribució a congrés/conferència › Avaluat per experts

6 Cites (Scopus)

Resum

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	Anglès
Títol de la publicació	Proceedings of the 20th Annual International Conference on Digital Government Research
Subtítol de la publicació	Governance in the Age of Artificial Intelligence, dg.o 2019
Editors	Yu-Che Chen, Fadi Salem, Anneke Zuiderwijk
Editor	Association for Computing Machinery
Pàgines	265-271
Nombre de pàgines	7
ISBN (electrònic)	9781450372046
DOIs	https://doi.org/10.1145/3325112.3325219
Estat de la publicació	Publicada - 18 de juny 2019
Publicat externament	Sí
Esdeveniment	20th Annual International Conference on Digital Government Research: Governance in the Age of Artificial Intelligence, dg.o 2019 - Dubai, United Arab Emirates Durada: 18 de juny 2019 → 20 de juny 2019

Sèrie de publicacions

Nom	ACM International Conference Proceeding Series

Conferència

Conferència	20th Annual International Conference on Digital Government Research: Governance in the Age of Artificial Intelligence, dg.o 2019
País/Territori	United Arab Emirates
Ciutat	Dubai
Període	18/06/19 → 20/06/19

SDG de les Nacions Unides

Aquest resultat contribueix als següents objectius de desenvolupament sostenible.

ODS 3 Salut i benestar

Accés al document

10.1145/3325112.3325219

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Com citar-ho

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: In Y.-C. Chen, F. Salem, & A. Zuiderwijk (Ed.), Proceedings of the 20th Annual International Conference on Digital Government Research: Governance in the Age of Artificial Intelligence, dg.o 2019 (pàg. 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. pàg. 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.",

keywords = "Child welfare information systems, Enterprise data management, Information systems",

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: in Y-C Chen, F Salem & A Zuiderwijk (ed.), 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, pàg. 265-271, 20th Annual International Conference on Digital Government Research: Governance in the Age of Artificial Intelligence, dg.o 2019, Dubai, United Arab Emirates, 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. pàg. 265-271 (ACM International Conference Proceeding Series).

Producció científica: Capítol de llibre › Contribució a congrés/conferència › Avaluat per experts

TY - GEN

T1 - Applying an enterprise data model in government:

AU - Harrison, Teresa M.

AU - Avila-Marilla, Martha

AU - Canestraro, Donna

AU - Soto, Nicolas

AU - Pardo, Theresa

AU - Sutherland, Megan

AU - Brian Burke, B.

AU - Gasco, Mila

PY - 2019/6/18

Y1 - 2019/6/18

N2 - 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.

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.

KW - Child welfare information systems

KW - Enterprise data management

KW - Information systems

UR - https://www.scopus.com/pages/publications/85068605045

U2 - 10.1145/3325112.3325219

DO - 10.1145/3325112.3325219

M3 - Conference contribution

AN - SCOPUS:85068605045

T3 - ACM International Conference Proceeding Series

SP - 265

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A2 - Chen, Yu-Che

A2 - Salem, Fadi

A2 - Zuiderwijk, Anneke

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T2 - 20th Annual International Conference on Digital Government Research: Governance in the Age of Artificial Intelligence, dg.o 2019

Y2 - 18 June 2019 through 20 June 2019

ER -

Harrison TM, Avila-Marilla M, Canestraro D, Soto N, Pardo T, Sutherland M et al. Applying an enterprise data model in government: In Chen YC, Salem F, Zuiderwijk A, editors, 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. pàg. 265-271. (ACM International Conference Proceeding Series). doi: 10.1145/3325112.3325219

Applying an enterprise data model in government:

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