Public Demand Oriented Quality Evaluation Model for Rainstorm Disaster Information Disclosure

Author:

Yan Tianan,Zhang Yifan,Hua Ruikai

Abstract

By investigating the current situation of information disclosure and public demand during rainstorm disaster in Henan Province, this paper builds a model of factors affecting the quality of information disclosure characterized by rainstorm disaster information based on TOE framework theory, metadata evaluation model, resource based theory and resource confirmation theory. With the help of the current situation and demand characteristics of the public’s actual information acquisition, it designs a model with information disclosure content quality, information disclosure accessibility, information disclosure process completeness 10 test dimensions of government information disclosure ability, government feedback ability, minimum information disclosure acceptance ability, information disclosure technology support ability, right to know protection ability, privacy protection ability, right to equality protection ability, and 35 test items of rainstorm disaster information disclosure quality impact factor evaluation scale. The research provides help for government information disclosure to more accurately identify public needs, provides targeted evaluation models and operable evaluation models for rainstorm disaster information quality evaluation in Henan, and provides ideas and strategies for improving rainstorm disaster information quality.

Publisher

EDP Sciences

Subject

General Medicine

Reference22 articles.

1. The processes of technological innovation

2. What factors drive open innovation in China's public sector? A case study of official document exchange via microblogging (ODEM) in Haining

3. Bruce T R, Hillmann D I. The Continuum of Metadata Quality: Defining, Expressing, Exploiting[J]. D.hillman & L.westbrooks Metadata in Practice, 2004.

4. Huang Y, Li J. Research on Metadata Quality Assessment Methods and Models [J]. Library science Research, 2013 (12): 52-56+51.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3