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

Research output: Book chapter › Conference contribution › peer-review

6 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 20th Annual International Conference on Digital Government Research
Subtitle of host publication	Governance in the Age of Artificial Intelligence, dg.o 2019
Editors	Yu-Che Chen, Fadi Salem, Anneke Zuiderwijk
Publisher	Association for Computing Machinery
Pages	265-271
Number of pages	7
ISBN (Electronic)	9781450372046
DOIs	https://doi.org/10.1145/3325112.3325219
Publication status	Published - 18 Jun 2019
Externally published	Yes
Event	20th Annual International Conference on Digital Government Research: Governance in the Age of Artificial Intelligence, dg.o 2019 - Dubai, United Arab Emirates Duration: 18 Jun 2019 → 20 Jun 2019

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	20th Annual International Conference on Digital Government Research: Governance in the Age of Artificial Intelligence, dg.o 2019
Country/Territory	United Arab Emirates
City	Dubai
Period	18/06/19 → 20/06/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Child welfare information systems
Enterprise data management
Information systems

Access to Document

10.1145/3325112.3325219

Cite this

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 (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.",

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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doi = "10.1145/3325112.3325219",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "265--271",

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address = "United States",

}

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 (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, 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. p. 265-271 (ACM International Conference Proceeding Series).

Research output: Book chapter › Conference contribution › peer-review

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

EP - 271

BT - Proceedings of the 20th Annual International Conference on Digital Government Research

A2 - Chen, Yu-Che

A2 - Salem, Fadi

A2 - Zuiderwijk, Anneke

PB - Association for Computing Machinery

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. p. 265-271. (ACM International Conference Proceeding Series). doi: 10.1145/3325112.3325219

Applying an enterprise data model in government:

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this