中文    English

Journal of Library and Information Science in Agriculture ›› 2023, Vol. 35 ›› Issue (1): 56-72.doi: 10.13998/j.cnki.issn1002-1248.22-0740

Previous Articles     Next Articles

Construction and Application of the Evaluation Indicator System of Government Data Openness Maturity in China

WANG Lin1, YAO Feifei2   

  1. 1. Chinese Academy of Science and Education Evaluation, Hangzhou Dianzi University, Hangzhou 310018;
    2. School of Management, Hangzhou Dianzi University, Hangzhou 310018
  • Received:2022-09-30 Online:2023-01-05 Published:2023-03-07

PDF (PC)

659

Abstract: [Purpose/Significance] At present, governments at different levels in China are faced with some problems and challenges in opening up government data such as lagging policy legislation, data unable to meet public demand, insufficient platform service function and integration, imperfect data openness innovation mechanism, and a lack of unified management institutions. The purpose of this paper aims at construction of a stage maturity model to build an evaluation indicator system to measure government data openness maturity, It is important for the local government to understand which level of development their open data is at and which areas need to be improved, in order to comprehensively understand and grasp the actual level of local government data openness in China, which is important for strengthening the construction of sunshine government and e-government, optimizing the process of government data openness, and promoting the innovative development of government data openness. [Method/Process] Based on the idea of the software capability maturity model Capability Maturity Model (CMM), the Chinese government data openness maturity model was constructed, and then a data openness evaluation indicator system was also established on the basis of the maturity model. The government data openness maturity model includes strategic level, data level, technical level, organizational level and application level, and the levels are divided into five categories: initial level, document level, development level, open level and optimization level. The evaluation indicator system consists of 5 primary indicators, 11 secondary indicators and 35 tertiary indicators. The combination weights of the indicators were calculated by using the AHP-entropy weight method. Then, we designed the scoring rules, set the scoring criteria, and scored the four municipalities directly under the central government of China according to the actual situation. [Results/Conclusions] According to the ratings of the four municipalities, Shanghai has a good overall performance, followed by Beijing, Tianjin, and Chongqing. The municipalities directly under the central government are better in terms of related policies launched, but they are lacking in terms of platform function construction, the degree of perfection of local policies and regulations, and the interaction ability with users, which need to be further strengthened. The open government data evaluation indicator system proposed in this paper needs continuous improvement in terms of indicator selection and scoring criteria. In some aspects, the effect of using one indicator alone may not be satisfactory, and the follow-up study involving more elements will summarize more experiences and collect more experts' opinions in the field of government data openness to further improve the government data openness maturity evaluation indicator system.

Key words: open government data, mature model, indicator system, AHP-entropy

CLC Number: 

  • G255.51
[1] 杜振华. 政府数据开放与创新驱动经济增长的关系[J]. 首都师范大学学报(社会科学版), 2020(2): 63-71.
DU Z H.On the relationship between government data opening and innovation-driven economic growth[J]. Journal of capital normal university (social sciences edition), 2020(2): 63-71.
[2] 季统凯, 刘甜甜, 伍小强. 政府数据开放: 概念辨析、价值与现状分析[J]. 北京工业大学学报, 2017, 43(3): 327-334.
JI T K, LIU T T, WU X Q.Government data open: Concept discrimi-nation, value and status analysis[J]. Journal of Beijing university of technology, 2017, 43(3): 327-334.
[3] 宋姗姗, 白文琳. 中国大数据治理研究述评[J]. 农业图书情报学报, 2022, 34(4): 4-17.
SONG S S, BAI W L.A review of big data governance research in China[J]. Journal of library and information science in agriculture, 2022, 34(4): 4-17.
[4] 申媛媛, 邬锦雯, 李丹. 基于熵权法的数字乡村微观测度模型研究[J]. 农业图书情报学报, 2020, 32(4): 68-76.
SHEN Y Y, WU J W, LI Dan.Research on digital village Micro-observation model based on entropy weight method[J]. Journal of library and information science in agriculture, 2020, 32(4): 68-76.
[5] NUGROHO R P, ZUIDERWIJK A, JANSSEN M, et al.A comparison of national open data policies:Lessons learned[J]. Transforming gov-ernment: People, process and policy, 2015 ,9(3): 286-308.
[6] 彭珊, 唐阳. 我国地方政府数据开放政策比较研究[J]. 中国管理信息化, 2020, 23(22): 194-195.
PENG S, TANG Y.A comparative study on the data opening policies of local governments in china[J]. China management informationiza-
7 tion, 2020, 23(22): 194-195.
[7] 王晶. 美国政府数据开放政策最新进展及启示[J]. 信息通信技术与政策, 2019(9): 35-38.
WANG J.The latest progress and enlightenment of the US government data open policy[J]. Information and communications technology and policy, 2019(9): 35-38.
[8] RUIJER E, GRIMMELIKHUIJSEN S, MEIJER A.Open data for democracy: Developing a theoretical framework for open data use[J]. Government information quarterly, 2017, 34(1): 45-52.
[9] 王娟. 国内外政府开放数据质量研究述评[J]. 图书馆理论与实践, 2019(12):27-31.
WANG J.A review of the studies on quality of government open data at home and abroad[J]. Library theory and practice, 2019(12): 27-31.
[10] CHATFIELD A T, REDDICK C G.The role of policy entrepreneurs in open government data policy innovation diffusion: An analysis of australian federal and state governments[J]. Government information quarterly, 2018, 35(1): 123-134.
[11] 杨瑞仙, 毛春蕾, 左泽. 我国政府数据开放平台建设现状与发展对策研究[J]. 情报理论与实践, 2016, 39(6): 27-31.
YANG R X, MAO C L, ZUO Z.A review of the studies on quality of government open data at home and abroad[J]. Library theory and practice, 2016, 39(6): 27-31.
[12] ATTARD J, ORLANDI F, SCERRI S, et al.A systematic review of open government data initiatives[J]. Government information quarterly, 2015, 32(4): 399-418.
[13] GRIMMELIKHUIJSEN S, PORUMBESCU G, HONG B, et al.The effect of transparency on trust in government: A Cross-National comparative experiment[J]. Public administration review: PAR, 2013, 73(4): 575-586.
[14] 周文泓, 张晓宇, 田欣, 等. 我国地方政府开放数据的社会利用现状与促进对策[J]. 图书馆论坛, 2022, 42(4): 76-85.
ZOU W H, ZHANG X Y, TIAN X, et al.Social utilization of local government open data in China and facilitation measures[J]. Library tribune, 2022, 42(4): 76-85.
[15] 王超, 白献阳. 政府数据开放平台建设比较研究——以纽约、伦敦、上海为例[J]. 晋图学刊, 2022(5): 1-7, 14.
WANG C, BAI X Y.A comparative study on the construction of open government data platform[J]. Shanxi library journal, 2022(5): 1-7, 14.
[16] BONINA C, EATON B.Cultivating open government data platform ecosystems through governance: Lessons from buenos aires, mexico city and montevideo[J]. Government information quarterly, 2020, 37(3): 101479.
[17] ANSARI B, BARATI M, MARTIN E.Enhancing the usability and usefulness of open government data: A comprehensive review of the state of open government data visualization research[J]. Government information quarterly, 2022, 39(1): 101657.
[18] MARJANOVIC O, CECEZ-KECMANOVIC D.Open government data platforms -A complex adaptive sociomaterial systems perspective[J]. Information and organization, 2020, 30(4): 100323.
[19] 荣幸, 高秦伟. 政府数据开放平台建设途径研究[J]. 理论探索, 2021(4): 63-70.
RONG X, GAO Q W.Research on the construction ways about open platform of government data[J]. Theoretical exploration, 2021(4): 63-70.
[20] 王林川, 寿志勤, 吴慈生. 政府数据开放平台服务绩效评价指标体系研究: 基于公共价值视角[J]. 中国行政管理, 2022(1): 40-47.
WANG L C, SHOU Z Q, WU C S.Research on the service performance evaluation index system of the open government data platform: From the perspective of public value[J]. Chinese public administration, 2022(1): 40-47.
[21] 张宇杰, 安小米, 张国庆. 政府大数据治理的成熟度评测指标体系构建[J]. 情报资料工作, 2018(1): 28-32.
ZHANG Y J, AN X M, ZHANG G Q.Construction of maturity evaluation lndex system for government big data governance[J]. Information and documentation services, 2018(1): 28-32.
[22] 吴志刚, 廖昕, 朱胜, 等. 政务大数据成熟度模型研究与应用[J]. 中国科技产业, 2016(8): 77-80.
WU Z G, LIAO X, ZU S, et al.The research and application of gov-ernment big data maturity model[J]. Science & technology industry of China, 2016(8): 77-80.
[23] NASCIO. NASCIO: Data governance part ⅱ: Maturity models - A path to progress[EB/OL].[2014-12-04].http://www.docin.com/p-978629039-f2.htmlUSA.
[24] EDM council. Data management maturity model[EB/OL].[2020-03-12].https://max.book118.com/html/2018/1229/7161105013001200.shtm.
[25] 崔旭, 谢寒冰. 企业档案数据治理成熟度模型构建研究[J]. 档案与建设, 2021(12): 37-41.
CUI X, XIE H B.Research on the construction of maturity model of archive data governance in enterprises[J]. Archives & construction, 2021(12): 37-41.
[26] 迪莉娅. 政府数据开放成熟度模型研究[J]. 现代情报, 2019, 39(1): 103-110.
DI L Y.Studies on maturity model of open government data[J]. Journal of modern information, 2019, 39(1): 103-110.
[27] 叶兰. 研究数据管理能力成熟度模型评析[J]. 图书情报知识, 2015(2): 115-123.
YE L.Review and analysis of capability maturity model for research data management[J]. Documentation, information & knowledge, 2015(2): 115-123.
[28] 刘淑妍, 王湖葩. TOE框架下地方政府数据开放制度绩效评价与路径生成研究——基于20省数据的模糊集定性比较分析[J]. 中国行政管理, 2021(9): 34-41.
LIU S Y, WANG H P.Research on performance evaluation and path generation of local government data open system under TOE framework: Qualitative comparative analysis of fuzzy sets based on datafrom 20 provinces[J]. Chinese public administration, 2021(9): 34-41.
[29] 韩宏宇. 我国政府开放数据利用评价指标体系构建与应用研究[D]. 长春: 东北师范大学, 2021.
HAN H Y.Research on construction and application of evaluation index system of Chinese government open data utilization[D].Chang chun: Northeast normal university, 2021.
[30] 李晓彤, 翟军, 郑贵福. 我国地方政府开放数据的数据质量评价研究——以北京、广州和哈尔滨为例[J]. 情报杂志, 2018, 37(6): 141-145.
LI X T, ZHAI J, ZHENG G F.Data ouality assessment for open government data in Chinese loca governments: Beling, Guangzhou and Harbin[J]. Journal of intelligence, 2018, 37(6): 141-145.
[31] 阮霁阳. 地方政府数据开放平台服务质量评价研究——基于群AHP-熵权法组合权重的TOPSIS实证分析[J]. 云南行政学院学报, 2021, 23(6): 43-52.
RUAN Q Y.Research on service quality evaluation of local government data opening platform[J]. The journal of Yunnan administration college, 2021, 23(6): 43-52.
[32] 孙轩, 王焕骁. 政务大数据安全防护能力建设: 基于技术和管理视角的探讨[J]. 计算机科学, 2022, 49(4): 67-73.
SUN X, WANG H X.Capability building for government big data safety protection: Discussions from technological and management perspectives[J]. Computer science, 2022, 49(4): 67-73.
[33] 文禹衡, 戴文怡. 数据主权安全能力成熟度评估应用研究——以DSSCMM模型应用于中国的评估为例[J]. 图书与情报, 2021(4): 39-51.
WEN Y H, DAI W Y.Research on the maturity evaluation of data sovereignty security capability in china based on DSSCMM discussion on the evaluation process and method of DSSCMM[J]. Library & information, 2021(4): 39-51.
[34] 王锡锌, 黄智杰. 公平利用权: 公共数据开放制度建构的权利基础[J]. 华东政法大学学报, 2022, 25(2): 59-72.
WANG X X, HANG Z J.The right to equitable utilization: The right basis for the construction of open government data systems[J]. ECUPL journal, 2022, 25(2): 59-72.
[35] 白献阳, 孙梦皎, 安小米. 大数据环境下我国政府数据开放政策体系研究[J]. 图书馆学研究, 2018(24): 48-56, 47.
BAI X Y, SUN M J, AN X M.On China's open government data poli-cy system under the background of big data[J]. Research on library science, 2018(24): 48-56, 47.
[36] 侯征. 我国政府开放数据质量评价模型构建研究[D]. 郑州: 郑州航空工业管理学院, 2021.
HOU Z.Research on the construction of the ouality evaluation model of Chinese government open data[D]. Zhengzhou: Zhengzhou university of aeronautics, 2021.
[37] BERTOT J C, GORHAM U, JAEGER P T, et al.Big data, open government and e-government: Issues, policies and recommendations[J]. Information polity, 2014, 19(1): 5-16.
[38] 胡千代, 王芳. 政府数据质量评价指标体系构建研究[J]. 科技情报研究, 2021, 3(3): 17-34.
HU Q D, WANG F.Constructing an evaluation indicator system for government data quality[J]. Scientific information research, 2021, 3(3): 17-34.
[39] 王芳, 张百慧, 杨灵芝, 等. 基于大数据应用的政府治理效能评价指标体系构建研究[J]. 信息资源管理学报, 2020, 10(2): 17-28.
WANG F, ZHANG B H, YANG L Z, et al.Constructing an evaluation index system for the government efficacy in governance using big data[J]. Journal of information resources management, 2020, 10(2): 17-28.
[40] 段忠贤, 吴艳秋. 政府数据开放度评价指标体系构建与实证测度[J]. 统计与决策, 2019, 35(22): 23-27.
DUAN Z X, WU Y Q.Evaluation index system construction and actual measurement of government data openness[J]. Statistics & decision, 2019, 35(22): 23-27.
[41] 赵豫生, 林少敏, 郑少褕. 大数据治理机构职能及其评价指标体系构建研究[J]. 中国行政管理, 2020(7): 70-77.
ZHAO Y S, LIN S M, ZHENG S C.Research on functions of big data governance lnstitutions and evaluation index system[J]. Chinese public administration, 2020(7): 70-77.
[42] ZHAO Y, FAN B.Exploring open government data capacity of government agency: Based on the resource-based theory[J]. Government information quarterly, 2018, 35(1): 1-12.
[43] JETZEK T.Sustainable value of open government data: Uncovering the generative mechanisms of open data through a mixed methods approach[D]. Copenhagen: Copenhagen business school, 2015.
[44] 温祖卿, 郑磊. 地方政府开放数据的利用与产出研究[J]. 电子政务, 2019(9): 23-31.
WEN Z Q, ZHENG L.Research on the utilization and output of local government open data[J]. E-Government, 2019(9): 23-31.
[45] FAN B, ZHAO Y.The moderating effect of external pressure on the relationship between internal organizational factors and the quality of open government data[J]. Government information quarterly, 2017, 34(3): 396-405.
[46] 王珂, 王健, 向彪. 新时代体育学硕士研究生信息素养评价指标体系构建研究[J]. 武汉体育学院学报, 2022, 56(3): 93-100.
WANG K, WANG J, XIANG B.Studies on evaluation index system of lnformation literacy for postgraduate students majoring in PE and sports in new era[J]. Journal of Wuhan sports university, 2022, 56(3): 93-100.
[47] 刘静羽, 贾毓洁, 黄金霞, 等. 开放科学创新生态构建中的数据处理伦理准则框架研究[J]. 农业图书情报学报, 2022, 34(9): 29-43.
LIU J Y, JIA Y J, HUANG J X, et al.Ethics principle framework of data handling for open scientific innovation ecology[J]. Journal of library and information science in agriculture, 2022, 34(9): 29-43.
[48] 王昊, 侯雨欣, 高然, 等. 基于AHP—熵权法的不动产统一登记制度实施评估研究[J]. 中国软科学, 2021(s1): 324-332.
WANG H, HOU Y X, GAO R, et al.Evaluation for the implementation of unified real estate registration system based on AHP-Entropy weight method[J]. China soft science, 2021(s1): 324-332.
[49] 林明燕, 张廷君. 地方政府数据开放平台绩效评估指标体系实证研究[J]. 图书馆理论与实践, 2019(12): 46-54.
LIN M Y, ZHANG T J.Empirical research on performance evaluation lndex system of local government data open platform[J]. Library theory and practice, 2019(12): 46-54.
[50] 胡贝贝. 我国地方政府开放数据评价研究[D]. 武汉: 华中科技大学, 2019.
HU B B.Research on the evaluation of open data of local govern-ments in China[D]. Wuhan: Huazhong university of science and technology, 2019.
[51] 姬卓君. 大数据环境下我国政府开放数据开放状况评价分析[D]. 哈尔滨: 黑龙江大学, 2017.
JI Z J.Evaluation and analysis of open government data openness in China under big data environment[D]. Harbin: Heilongjiang university, 2017.
[52] ZHANG W, JIANG H, SHAO Q, et al.Construction of the evaluation model of open government data platform: From the perspective of citizens' sustainable use[J] Sustainability, 2022, 14(3): 1415.
[1] JIANG Enbo, LI Na. Analysis and Evaluation of Chinese Open Government Agricultural Data [J]. Journal of Library and Information Science in Agriculture, 2020, 32(10): 4-15.
[2] TIAN Ye. Semantic Sharing Mechanism of Heterogeneous Government Data Based on Blockchain [J]. Journal of Library and Information Science in Agriculture, 2020, 32(1): 12-22.
[3] YAN Xiaojing. Study on Data Management Policies of Open Government [J]. , 2017, 29(12): 81-84.
[4] ZHANG Zheng-ya,GU Chao-bing,GENG Xiao. Study of Performance Evaluation of Enterprise Competitive Intelligence [J]. , 2014, 26(9): 36-41.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Editorial Board of Journal of Library and Information Science in Agriculture
Tel：(010)82109667　Fax：(010)82109667　E-mail：xuekan＠caas.cn
Powered by Beijing Magtech Co., Ltd.
知识共享许可协议