Quality evaluation of government epidemic data openness based on cloud model and PSR theory

Liu Yang; Jian Wang; Zebin Zhao

doi:10.1145/3564858.3564860

Quality evaluation of government epidemic data openness based on cloud model and PSR theory

Liu Yang
, Jian Wang
, Zebin Zhao

School of Management

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Government data opening has become one of the key measures of government emergency management in the big data era. Investigating deeply the quality of government data opening under public health emergencies can help grasp the current situation and provide experience for future work. This paper evaluates the 31 regional health commissions' epidemic data openness using a framework based on PSR theory in China, and the cloud model was used to evaluate the quality of government data opening at the national and regional levels. The comprehensive evaluation level of government data openness under the epidemic situation in China was ordinary level and the level of data openness varies greatly among regions. Data state is the main factor restricting the level of data openness.

Original language	English
Title of host publication	IMMS 2022 - 2022 5th International Conference on Information Management and Management Science
Publisher	Association for Computing Machinery
Pages	7-14
Number of pages	8
ISBN (Electronic)	9781450396721
DOIs	https://doi.org/10.1145/3564858.3564860
State	Published - 26 Aug 2022
Event	5th International Conference on Information Management and Management Science, IMMS 2022 - Chengdu, China Duration: 26 Aug 2022 → 28 Aug 2022

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	5th International Conference on Information Management and Management Science, IMMS 2022
Country/Territory	China
City	Chengdu
Period	26/08/22 → 28/08/22

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

PSR theory
cloud model
open government data
public health emergencies

Access to Document

10.1145/3564858.3564860

Cite this

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title = "Quality evaluation of government epidemic data openness based on cloud model and PSR theory",

abstract = "Government data opening has become one of the key measures of government emergency management in the big data era. Investigating deeply the quality of government data opening under public health emergencies can help grasp the current situation and provide experience for future work. This paper evaluates the 31 regional health commissions' epidemic data openness using a framework based on PSR theory in China, and the cloud model was used to evaluate the quality of government data opening at the national and regional levels. The comprehensive evaluation level of government data openness under the epidemic situation in China was ordinary level and the level of data openness varies greatly among regions. Data state is the main factor restricting the level of data openness.",

keywords = "PSR theory, cloud model, open government data, public health emergencies",

author = "Liu Yang and Jian Wang and Zebin Zhao",

note = "Publisher Copyright: {\textcopyright} 2022 ACM.; 5th International Conference on Information Management and Management Science, IMMS 2022 ; Conference date: 26-08-2022 Through 28-08-2022",

year = "2022",

month = aug,

day = "26",

doi = "10.1145/3564858.3564860",

language = "英语",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery ",

pages = "7--14",

booktitle = "IMMS 2022 - 2022 5th International Conference on Information Management and Management Science",

address = "美国",

}

Yang, L, Wang, J & Zhao, Z 2022, Quality evaluation of government epidemic data openness based on cloud model and PSR theory. in IMMS 2022 - 2022 5th International Conference on Information Management and Management Science. ACM International Conference Proceeding Series, Association for Computing Machinery , pp. 7-14, 5th International Conference on Information Management and Management Science, IMMS 2022, Chengdu, China, 26/08/22. https://doi.org/10.1145/3564858.3564860

Quality evaluation of government epidemic data openness based on cloud model and PSR theory. / Yang, Liu; Wang, Jian ; Zhao, Zebin.
IMMS 2022 - 2022 5th International Conference on Information Management and Management Science. Association for Computing Machinery , 2022. p. 7-14 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Quality evaluation of government epidemic data openness based on cloud model and PSR theory

AU - Yang, Liu

AU - Wang, Jian

AU - Zhao, Zebin

PY - 2022/8/26

Y1 - 2022/8/26

N2 - Government data opening has become one of the key measures of government emergency management in the big data era. Investigating deeply the quality of government data opening under public health emergencies can help grasp the current situation and provide experience for future work. This paper evaluates the 31 regional health commissions' epidemic data openness using a framework based on PSR theory in China, and the cloud model was used to evaluate the quality of government data opening at the national and regional levels. The comprehensive evaluation level of government data openness under the epidemic situation in China was ordinary level and the level of data openness varies greatly among regions. Data state is the main factor restricting the level of data openness.

AB - Government data opening has become one of the key measures of government emergency management in the big data era. Investigating deeply the quality of government data opening under public health emergencies can help grasp the current situation and provide experience for future work. This paper evaluates the 31 regional health commissions' epidemic data openness using a framework based on PSR theory in China, and the cloud model was used to evaluate the quality of government data opening at the national and regional levels. The comprehensive evaluation level of government data openness under the epidemic situation in China was ordinary level and the level of data openness varies greatly among regions. Data state is the main factor restricting the level of data openness.

KW - PSR theory

KW - cloud model

KW - open government data

KW - public health emergencies

UR - https://www.scopus.com/pages/publications/85143895557

U2 - 10.1145/3564858.3564860

DO - 10.1145/3564858.3564860

M3 - 会议稿件

AN - SCOPUS:85143895557

T3 - ACM International Conference Proceeding Series

SP - 7

EP - 14

BT - IMMS 2022 - 2022 5th International Conference on Information Management and Management Science

PB - Association for Computing Machinery

T2 - 5th International Conference on Information Management and Management Science, IMMS 2022

Y2 - 26 August 2022 through 28 August 2022

ER -

Quality evaluation of government epidemic data openness based on cloud model and PSR theory

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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