[Purpose/significance]The organizational structure of government data governance is a key factor which affects the effectiveness of government digital governance and the benefits of data development and utilization. By the comparative analysis of the government's chief data officer system and China's big data bureau model, it can provide useful reference and guidance for promoting the reform of China's government data management agency.[Method/process] Through extensive text analysis and comparative analysis, this paper systematically sorted out the connotation and institutional positioning of foreign government chief data officer system and big data bureau model, focusing on the operating characteristics comparison, such as power operation structure, cross-department communication, team work and diversified operation mechanism on the business of government data.[Result/conclusion] Then, it points out the inherent logical relationship between big data bureau model and government data governance in China. It also summarizes the practice and innovation of China's big data bureau model, including centralization of responsibilities and authorities, intensification of power operation, clustering of work networks and resource operation. Based on comparative analysis, it concludes that big data bureau should learn from the experience of the chief data officer system, needing further improvement in the areas of responsibilities, power structure and data-driven government construction.
Xia Yikun
. Innovation of the Government Chief Data Officer System in China: Discussion on the Logic, Development and Improvement Space of Big Data Bureau Model[J]. Library and Information Service, 2020
, 64(18)
: 21
-29
.
DOI: 10.13266/j.issn.0252-3116.2020.18.003
[1] 联合国贸发会.2019年数字经济报告[R/OL].[2020-02-12].http://www.sohu.com/a/341786213_481840.
[2] GRIFFIN J. The role of the chief data officer[J]. Information management, 2008, 18(2):28.
[3] CDO Action Plan:preparing and empowering the role of CDO[R/OL].[2020-02-15]. https://www.grantthornton.com/library/whitepapers/advisory/2019/CDO-action-plan.aspx.
[4] HILL G, TOWERS C, BORNE K. Rise of the chief data officer[R]//Big Data White Paper. San Diego:Tealium, 2014.
[5] JIM H, HUGHES A.The State of the Union of Open Data[EB/OL].[2020-02-12]. https://www.datafoundation.org/cover-page-ed-3-sotu.
[6] Open data policy-managing information as an asset[EB/OL].[2020-02-12].https://project-open-data.cio.gov/cdo.
[7] Senate and House of Representatives of the United States of America in Congress.The Foundations for Evidence-Based Policymaking Act (H.R. 4174 and S.2046)[EB/OL].[2020-02-12].https://www.congress.gov/115/plaws/publ435/PLAW-115publ435.pdf.
[8] 夏义堃. 政府首席数据官制度的核心要义与运行分析[J]. 图书情报知识, 2020 (1):74-83.
[9] Mayor Nutter appointed Mark Headd as the city's first Chief Data Officer (CDO)[EB/OL].[2020-01-06].http://cityofphiladelphia.wordpress.com/2012/09/06/mayor-nutter-appoints-first-chief-data-officer/.
[10] PANETTIERI J. Inside the numbers:Time Inc.'s new chief data officer[EB/OL].[2020-02-10].https://www.information-management.com/news/inside-the-numbers-time-incs-new-chiefdata-officer.
[11] GUESS A.Fed agency chief data officers emerge as big data heroes[EB/OL].[2020-02-10].https://www.dataversity.net/fed-agency-chief-data-officers-emerge-big-data-heroes/.
[12] NEWCOMBE T. Big data or big hype? has data analytics delivered on its radical promise? from public CIO special report, center for digital government[R/OL].[2020-02-10].https://media.erepublic.com/document/PCIO_DataAnalytics_SR2018.pdf.
[13] ELLINGSON A. L.A. appoints first chief data officer[EB/OL].[2020-01-21]. https://www.bizjournals.com/losangeles/news/2014/08/21/l-a-appoints-first-chief-data-officer.htmll.
[14] CASEY K M. A comprehensive analysis of the roles, responsibilities, and impact of the chief data officer at institutions of higher learning[D]. Little Rock:University of Arkansas at Little Rock, 2019.
[15] WISEMAN J M. Data-driven government:the role of chief data officers[R/OL].[2020-02-14].http://www.businessofgovernment.org/sites/default/files/Data-Driven%20Government_0.pdf.
[16] LEE Y, MADNICK S, WANG R, el al. A cubic framework for the chief data officer:succeeding in a world of big data[J]. MIS quarterly executive, 2014,13(1):1-13.
[17] OECD. Open government data report:enhancing policy maturity for sustainable impact[EB/OL].[2020-03-12].https://dx.doi.org/10.1787/9789264305847-en.
[18] 程莹.美国发布《联邦数据战略与2020行动计划》[EB/OL].[2020-02-09].http://www.echinagov.com/news/272975.htm.
[19] Government of Canada. A data strategy roadmap for the federal public service[EB/OL].[2020-02-09].https://www.canada.ca/en/privy-council/corporate/clerk/publications/data-strategy.html.
[20] WISEMAN J. Lessons from Leading CDOs:a framework for better civic analytics[EB/OL].[2019-02-06]. http://ash.harvard.edu/files/ash/files/leasons_from_leading_cdos.pdf.
[21] NOH K S. A study on the position of CDO for improving competitiveness based big data in cluster computing environment[J]. Cluster comput, 2016, 19:1659-1669.
[22] U.S. General Services Administration. GSA strategic plan:fiscal years 2018-2022[R/OL].[2020-02-19].https://www.gsa.gov/cdnstatic/GSA%20FY%2020182022%20Strategic%20Plan%20-%20FINAL.pdf.
[23] Final CDO roles and responsibilities document prepared by the data talent working group[R/OL].[2020-02-19].https://www.ntis.gov/TheDataCabinet/assets/CDORolesAndResponsibilities.pdf.
[24] Deloitte Center for Government Insight. The chief data officer in Government[EB/OL].[2019-02-17].https://www2.deloitte.com/insights/us/en/industry/public-sector/chief-data-officer-government-playbook.html.
[25] 张克. 省级大数据局的机构设置与职能配置:基于新一轮机构改革的实证分析[J]. 电子政务, 2019 (6):113-120.
[26] 门理想.地方政府数据治理机构研究:组建方式与职能界定[J].兰州学刊,2019(11):146-156.
[27] BROUS P, JANSSEN M, VILMINKO-HEIKKINEN R. Coordinating decision-making in data management activities:a systematic review of data governance principles[C]//International conference on electronic government. Cham:Springer, 2016:115-125.
[28] 黄璜.美国联邦政府数据治理:政策与结构[J].中国行政管理,2017(8):47-56.
[29] 门理想.地方政府数据治理机构研究:组建方式与职能界定[J].兰州学刊,2019(11):146-156.
[30] WISEMAN J. Analytics excellence roadmap:a four-stage maturity model for data——driven government[EB/OL].[2020-02-14]. https://datasmart.ash.harvard.edu/sites/default/files/201801/AnalyticsExcellenceRoadmap.pdf.
[31] GOVER J A. Analytics in city government:how the civic analytics network cities are using data to support public safety, housing, public health, and transportation[EB/OL].[2020-02-16]. https://ash.harvard.edu/files/ash/files/281995_hvd_ash_paper_v4.pdf.
