[1] LIM T C. Patterns in environmental priorities revealed through government open data portals[EB/OL]. [2024-08-26]. https://www.sciencedirect.com/science/article/pii/S0736585321001179?via%3Dihub.
[2] 黄如花, 吴应强, 李白杨. 中国省级政府数据开放平台利用水平的组态效应研究——基于NCA与fsQCA的实证分析[J]. 图书情报工作, 2024, 68(10): 66-80. (HUANG R H, WU Y Q, LI B Y. Research on the configuration effect of the utilization level of China’s provincial open government data platform: empirical analysis based on NCA and fsQCA[J]. Library and information service, 2024, 68(10): 66-80.)
[3] 中国地方政府数据开放报告——省域[R]. 上海: 复旦大学数字与移动治理实验室, 2021. (China's Local Government Data Openness Report: Provincial Areas[R]. Shanghai: Lab for Digital & Mobile Governance, Fudan University, 2021.)
[4] 刘旭然. 数字化转型视角下政务服务跨域治理的特征、模式和路径——以“跨省通办”为例[J]. 电子政务, 2022(9): 112-124. (LIU X R. The characteristics, models, and pathways of cross- domain governance in public services from the perspective of digital transformation: the case of “cross- provincial facilitation”[J]. E-government, 2022(9): 112-124.)
[5] 方彬楠, 陆珊珊. 施工图来了!政务大数据将全国一体化[N]. 北京商报, 2022-10-31(2). (FANG B N LU S S. The construction plan is here! big data for government affairs to be integrated nationwide[N]. Beijing business today, 2022-10-31(2).)
[6] CRUSOE J, SIMONOFSKI A, CLARINVAL A, et al. The impact of impediments on open government data use: insights from users[C]//Proceedings of the 13th IEEE international conference on research challenges in information science. Brussels: ICES Journal of Marine Science, 2019: 279-290.
[7] 孙嘉睿, 安小米. 开放政府数据质量评估指标体系研究[J]. 情报理论与实践, 2023, 46(6): 94-100, 78. (SUN J R, AN X M. Research on open government data quality evaluation index system[J]. Information studies: theory & application, 2023, 46(6): 94-100, 78.)
[8] WIEDENHÖFT G C, MATHEUS R, SAXENA S, et al. Barriers towards open government data value co-creation: an empirical investigation[EB/OL]. [2024-08-26]. https://onlinelibrary.wiley.com/doi/10.1002/isd2.12270.
[9] 王博, 温继文. 基于元数据的林业开放政府数据质量评估[J]. 情报学报, 2021, 40(2): 173-183. (WANG B, WEN J W. Quality evaluation of forestry open government data based on metadata[J]. Journal of the China Society for Scientific and Technical Information, 2021, 40(2): 173-183.)
[10] STUERMER M, DAPP M M. Measuring the promise of open data: development of the impact monitoring framework[C]//2016 conference for e-democracy and open government. Krems: Institute of Electrical and Electronics Engineers, 2016: 197-203.
[11] 张晓娟, 谭婧. 我国省级政府数据开放平台元数据质量评估研究[J]. 电子政务, 2019(3): 58-71. (ZHANG X J, TAN J. Research on metadata quality assessment of provincial government data open platform in China[J]. E-government, 2019(3): 58-71.)
[12] PARYCEK P, HCHTL J, GINNER M. Open government data implementation evaluation[J]. Journal of theoretical and applied electronic commerce research, 2014, 9(2): 80-99.
[13] YILMAZ C, CÖMERT Ç. Ontology based quality evaluation for spatial data[C]//Proceedings of the ISPRS geospatial week. La Grande Motte: International Society for Photogrammetry and Remote Sensing, 2015: 95-99.
[14] SCHNEIDER F D, FICHTMUELLER D, GOSSNER M M, et al. Towards an ecological trait-data standard[J]. Methods in ecology and evolution, 2019, 10(12): 2006-2019.
[15] CHAIGNON L, EGRET D. Identifying scientific publications countrywide and measuring their open access: the case of the French Open Science Barometer (BSO)[J]. Quantitative science studies, 2022, 3(1): 18-36.
[16] 盛小平, 焦凤枝. 国内外开放数据评价研究综述[J]. 情报杂志, 2022, 41(8): 131-137. (SHENG X P, JIAO F Z. A review of open data evaluation at home and abroad[J]. Journal of intelligence, 2022, 41(8): 131-137.)
[17] LNENICKA M, LUTEREK M, NIKIFOROVA A. Benchmarking open data efforts through indices and rankings: assessing development and contexts of use[EB/OL]. [2024-08-26]. https://www.sciencedirect.com/science/article/pii/S0736585321001842?via%3Dihub.
[18] WANG X. Research on the discourse power evaluation of academic journals from the perspective of multiple fusion: taking medicine, general and internal journals as an example[EB/OL]. [2024-08-26]. https://journals.sagepub.com/doi/10.1177/01655515221107334.
[19] NIKITIN A, DURAND M, MCMULLEN A, et al. Crushed-rock analysis workflow based on advanced fluid characterization for improved interpretation of core data[J]. Petrophysics, 2019, 60(6): 755-769.
[20] TEKELI A E, SENSOY A, SORMAN A, et al. Accuracy assessment of Modis daily snow albedo retrievals with in situ measurements in Karasu Basin, Turkey[J]. Hydrological processes, 2006, 20(4): 705-721.
[21] 夏义堃, 管茜. 政府数据资产管理的内涵、要素框架与运行模式[J]. 电子政务, 2022(1): 2-13. (XIA Y K, GUAN Q. The connotation, element framework, and operation mode of government data asset management[J]. E-government, 2022(1): 2-13.)
[22] 黄倩倩, 赵正, 刘钊因. 数据流通交易场景下数据质量综合管理体系与技术框架研究[J]. 数据分析与知识发现, 2022, 6(1): 22-34. (HUANG Q Q, ZHAO Z, LIU Z Y. Comprehensive management system and technical framework of data quality in the data circulation transaction scenario[J]. Data analysis and knowledge discovery, 2022, 6(1): 22-34.)
[23] BOUGHERRA M, SHAIKH A K, YENIGUN C, et al. E-government performance in democracies versus autocracies[J]. International journal of organizational analysis, 2023, 31(7): 3275-3294.
[24] COLBORNE A, SMIT M. Characterizing disinformation risk to open data in the post-truth era[EB/OL]. [2024-08-26]. https://dl.acm.org/doi/10.1145/3328747.
[25] CHOI K R, KIM J H, YOO S H. Public perspective on constructing sea forests as a public good: a contingent valuation experiment in south Korea[EB/OL]. [2024-08-26]. https://www.sciencedirect.com/science/article/pii/S0308597X20302979?via%3Dihub.
[26] WHITEHEAD J C, HOBAN T L, CLIFFORD W B. Economic analysis of an estuarine quality improvement program: the Albemarle-pamlico system[J]. Coastal management, 1997, 25(1): 43-57.
[27] LEAL F, CHIS A E, CATON S, et al. Smart pharmaceutical manufacturing: ensuring end-to-end traceability and data integrity in medicine production[EB/OL]. [2024-08-26]. https://www.sciencedirect.com/science/article/pii/S221457962030040X?via%3Dihub.
[28] ZHANG H, XIAO J Y. Quality assessment framework for open government data Meta-synthesis of qualitative research, 2009-2019[J]. Electronic library, 2020, 38(2): 209-222.
[29] ZHOU L X, ROMERO-GARCÍA N, MARTÍNEZ-MIRANDA J, et al. Subphenotyping of mexican patients with covid-19 at preadmission to anticipate severity stratification: age-sex unbiased meta-clustering technique[EB/OL]. [2024-08-26]. https://publichealth.jmir.org/2022/3/e30032.
[30] DALUWATHUMULLAGAMAGE D J. Icarus of the 21st century: bond/monoline insurance[J]. Qualitative research in financial markets, 2022, 14(1): 1-52.
[31] 朱泽, 段尧清, 何丹. 面向政府数据治理的数据资产价值系统仿真评估[J]. 图书馆论坛, 2021, 41(6): 100-105. (ZHU Z, DUAN Y Q, HE D. Simulation and evaluation of the data asset value system oriented to government data governance[J]. Library tribune, 2021, 41(6): 100-105.)
[32] LE P T, CHILESHE N, KIRYTOPOULOS K, et al. Investigating the significance of risks in bot transportation projects in Vietnam[J]. Engineering construction and architectural management, 2020, 27(6): 1401-1425.
[33] AYLOR M D. A definition and valuation of the UK offsite construction sector: ten years on[J]. International journal of construction management, 2022, 22(15): 2877-2885.
[34] 徐丽新, 袁莉. 地方政府数据开放门户的成熟度评估研究[J]. 图书情报工作, 2019, 63(12): 52-58. (XU L X, YUAN L. Research on maturity assessment of local open government data portals[J]. Library and information service, 2019, 63(12): 52-58.)
[35] 张路蓬, 周源, 薛澜. 基于区块链技术的战略性新兴产业知识产权管理及政策研究[J]. 中国科技论坛, 2018, 1(12): 120-126. (ZHANG L P, ZHOU Y, XUE L. Intellectual property management for strategic emerging industries-a blockchain-based approach [J]. Forum on science and technology in China, 2018, 1(12): 120-126.)
[36] 王丹丹, 刘亚宁. 科学数据价值：研究述评与展望[J]. 图书情报工作, 2023, 67(9): 141-150. (WANG D D, LIU Y N. The value of scientific data: research review and prospect[J]. Library and information service, 2023, 67(9): 141-150.)
[37] LI X T, ZHAI J, ZHENG G F, et al. Quality assessment for open government data in China[C]//Proceedings of the 10th international conference on information management and engineering. Manchester: University of Salford, 2018: 209-222.
[38] 臧国全, 张凯亮, 闫励. 个人数据价值计量研究——基于改造的BDM机制[J]. 图书情报工作, 2020, 64(7): 103-109. (ZANG G Q, ZHANG K L, YAN L. Research on personal data value measurement based on modified BDM experiment[J]. Library and information service, 2020, 64(7): 103-109.)
[39] LIU L Z. The rise of data politics: digital China and the world[J]. Studies in comparative international development, 2021, 56(1): 45-67.
[40] SLIBAR B, ORESKI D, REDEP N B. Importance of the open data assessment: an insight into the (meta) data quality dimensions[EB/OL]. [2024-08-26]. https://journals.sagepub.com/doi/10.1177/21582440211023178.
[41] MARMIER A, METTLER T. Developing an index for measuring OGD publisher compliance to good practice standards: insights from opendata.swiss[J]. Information polity, 2020, 25(1): 91-110.
[42] MILETIC A, DIVJAK A K, DONKER F W. Assessment of the Croatian open data portal using user-oriented metrics[EB/OL]. [2024-08-26]. https://www.mdpi.com/2220-9964/12/5/185.
[43] CHIDAMA Y E, ONONIWU C G. Mechanisms fostering the sustainability of actualized value propositions of implemented e-government projects in sub-saharan Africa: a realist evaluation case of Nigeria and Rwanda[EB/OL]. [2024-08-26]. https://onlinelibrary.wiley.com/doi/10.1002/isd2.12256.
[44] ÇALDAG M T, GÖKALP E. The maturity of open government data maturity: a multivocal literature review[J]. Aslib journal of information management, 2022, 74(6): 1007-1030.
[45] NOGUERAS-ISO J, LACASTA J, UREÑA-CÁMARA M A, et al. Quality of metadata in open data portals[J]. IEEE access, 2021, 9: 60364-60382.
[46] KUMAR V, CHANDRAPPA, HARINARAYANA N S. Exploring dimensions of metadata quality assessment: a scoping review[EB/OL]. [2024-08-26]. https://journals.sagepub.com/doi/10.1177/09610006241239080.
[47] 曾照云, 程晓康. 德尔菲法应用研究中存在的问题分析——基于38种CSSCI(2014-2015)来源期刊[J]. 图书情报工作, 2016, 60(16): 116-120. (ZENG Z Y, CHENG X K. Problem analysis in Delphi study: based on 38 journals included by CSSCI (2014-2015)[J]. Library and information service, 2016, 60(16): 116-120.)
[48] GARCIA-CASANOVAS A, RUIZ-LÓPEZ P M, BLANCH C, et al. Practical considerations for implementing health outcomes measurement projects within a healthcare organization: Delphi expert consensus study[J]. Journal of healthcare quality research, 2022, 37(5): 326-334.
[49] URRUTIA M J, BEDREGAL P, LIZAMA M. Adapting a quality of life scale for children and young people with down syndrome in Chile[J]. American journal of medical genetics part a, 2024, 194(2): 233-242.
[50] DEMIR G, RIAZ M, ALMALKI Y. Multi-criteria decision making in evaluation of open government data indicators: an application in G20 countries[J]. Aims mathematics, 2023, 8(8): 18408-18434.
[51] 张晓娟, 部闫若, 莫富传. 政策工具视角下我国地方政府公共数据治理政策研究[J]. 情报理论与实践, 2024, 47(6): 21-30. (ZHANG X J, DUAN Y R, MO F C. Research on public data governance policies of local governments in China from the perspective of policy instruments[J]. Information studies: theory & application, 2024, 47(6): 21-30.)
[52] SILVA T, SONG H, PERELLO-NIETO M, et al. Classifier calibration: a survey on how to assess and improve predicted class probabilities[J]. Machine learning, 2023, 112(9): 3211-3260.
[53] LNENICKA M, NIKIFOROVA A, LUTEREK M, et al. Identifying patterns and recommendations of and for sustainable open data initiatives: a benchmarking-driven analysis of open government data initiatives among European countries[EB/OL]. [2024-08-26]. https://www.sciencedirect.com/science/article/pii/S0740624X23000989?via%3Dihub.
[54] KIRSHENBOIM Z, MAROM E M, MAYER A, et al. Liver attenuation assessment in reduced radiation chest computed tomography[J]. Journal of computer assisted tomography, 2022, 46(5): 682-687.
