[目的/意义] 政府数据开放的准备度是为向社会提供更高价值数据所做准备的完善程度，考察影响地方政府数据开放准备度的差异影响因素并据此提出推进路径，旨在促进数据开放实践可持续。[方法/过程] 运用定性比较分析方法，以13个省级政府数据开放准备度政策等作为研究样本，分析影响政府数据开放准备度的多种因素的"联合效应"和各因素之间的"互动关系"。[结果/结论] 研究发现，安全保障是政府数据开放准备度的必要条件，数据管理、数据利用、部门职责、安全保障4种要素需同时具备，文本效力、领导公开支持以辅助条件形式与数据管理、数据利用、安全保障、部门职责要素组合在一起使用。
[Purpose/significance] The readiness of government data opening is the perfection of the preparation for providing higher value data to the society, which is the foundation and support of open data. Based on the analysis of the influencing factors of local governments’ data openness readiness, this paper proposes the path to promote the sustainable practice of data openness. [Method/process] Using qualitative comparative analysis method (QCA), the data openness readiness policies of 13 provincial governments are taken as the research samples. This paper analyzes the "combined effect" and "interactive relationship" of various factors affecting the readiness of government data opening. [Result/conclusion] The study found that security assurance is an indispensable prerequisite for high readiness for government data openness. The four elements of data management, data utilization, departmental responsibilities, and security assurance must be available at the same time. Text effectiveness and leadership public support are used in the form of auxiliary conditions combined with data management, data utilization, security assurance, and departmental responsibilities.
[1] United Nations. Guidelines on open government data for citizen engagement[EB/OL].[2020-06-15].http://www.gaportal.org/resources/detail/guidelines-on-open-government-data-for-citizen-engagement.
[2] 国务院关于印发促进大数据发展行动纲要的通知[EB/OL].[2020-06-15].http://www.gov.cn/zhengce/content/2015-09/05/content_10137.htm.
[3] 政府工作报告——2019年3月5日在第十三届全国人民代表大会第二次会议上[EB/OL].[2020-07-03].http://www.gov.cn/premier/2019-03/16/content_5374314.htm.
[4] Open Data Index.[EB/OL].[2020-07-01]. https://blog.okfn.org/tag/global-open-data-index/.
[5] DAVIES T. Open data barometer-2013 global report[R/OL].World Wide Web Foundation.[2020-07-15].http://www.opendataresearch.org/dl/odb2013/Open-DataBarometer-2013-Glo bal-Report.pdf.
[6] 张晓娟,孙成,向锦鹏.基于开放数据晴雨表的我国政府数据开放提升路径分析[J].图书情报知识,2017(6):60-72.
[7] World Bank's Open Government Data Working Group. Part a:open data readiness assessment users' guide[EB/OL].[2020-07-20].http://opendatatoolkit.org/docs/odra/.
[8] 2019年中国开放树林指数[EB/OL].[2020-07-19].http://ifopendata.fudan.edu.cn/.
[9] RAGIN C. Configurational comparative methods qualitative comparative analysis (QCA) and related techniques[M]. New Delhi:India Safe Publications,2008.
[10] ISHIDA A, YONETANI M, KOSAKA K. Determinants of linguistic human rights movements:an analysis of multiple causation of LHRs movements using a Boolean approach[J]. Social forces,2006(4):1937-1955.
[11] 程聪,贾良定.我国企业跨国并购驱动机制研究——基于清晰集的定性比较分析[J].南开管理评论,2016,19(6):113-121.
[12] 伯努瓦里豪克斯,查尔斯C拉.QCA设计原理与应用——超越定性与定量研究的新方法[M].杜运周,李永发,译.北京:机械工业出版社,2017.
[13] 邓胜利,付少雄.定性比较分析(QCA)在图书情报学中的应用——以网络社区健康信息搜寻影响因素研究为例[J].情报理论与实践,2017,40(12):23-28,11.
[14] 杨金龙,胡广伟.移动学习采纳转化为持续的动因及其组态效应研究[J].情报科学,2019,37(7):125-132.
[15] 杨洋洋,谢雪梅.基于QCA的网络舆情热度影响因素构型分析[J].情报杂志,2019,38(5):142-146.
[16] 洪京一.从G8开放数据宪章看国外开放政府数据的新进展[J].世界电信,2014(Z1):55-60.
[17] 联合国经济和社会事务部.2016联合国电子政务调查报告——电子政务促进可持续发展[R/OL].[2020-05-04].http://workspace.unpan.org/sites/Internet/Documents/UNPAN96420.pdf.
[18] 刘新萍,袁佳蕾,郑磊.地方政府数据开放准备度研究:框架与发现[J].电子政务,2019(9):2-11.
[19] 浙江省大数据发展管理局/机构职能[EB/OL].[2020-05-15]. http://www.zj.gov.cn/col/col1629359/index.html.
[20] 加快数据汇聚开放共享推进大数据产业发展[EB/OL].[2020-05-15]. https://data.fujian.gov.cn/odweb/news/newsDetail.htm?news_id=35.
[21] 山东省地方标准[EB/OL].[2020-06-15].http://data.sd.gov.cn/odweb/news/newsDetail.htm?news_id=51.
[22] 广东省数据开放和共享系列标准正式发布[EB/OL].[2020-06-15].https://gddata.gd.gov.cn/article/article/toArticleDetails/48.
[23] 张磊.我国政府数据开放机制研究[J].情报探索,2015(9):25-27.
[24] ZUIDERWIJK A, JANSSEN M. Open data policies, their implementation and impact:a framework for comparison[J]. Government information quarterly, 2014,31(1):17-29.
[25] World Wide Web Foundation. Open data barometer-ODB global report. Third Edition[R/OL].[2020-05-04].http://opendatabarometer.org/3rdEdition/report/#readiness.
[26] 上海市人民政府办公厅印发《关于推进政府信息资源向社会开放利用工作实施意见》的通知[EB/OL].[2020-06-08]. http://www.shanghai.gov.cn/nw2/nw2314/nw2319/nw22421/nw44400/u26aw39095.html.
[27] 浙江省公共数据开放与安全管理暂行办法[EB/OL].[2020-06-17]. http://www.zj.gov.cn/art/2020/6/17/art_1229017137_557682.html.
[28] 贵州省政务数据资源管理暂行办法[EB/OL].[2020-06-08]. http://www.guizhou.gov.cn/zwgk/zcfg/szfwj_8191/qfbf_8196/201709/t20170925_823937.html.
[29] 天津市促进大数据发展应用条例[EB/OL].[2020-06-08]. http://zscq.tj.gov.cn/zcfg/qt/201912/t20191203_147664.html.
[30] 上海市公共数据资源开放2020年度工作计划[EB/OL].[2020-07-08].http://www.e-gov.org.cn/article-171842.html.
