[1] 新华社. 中共中央、国务院关于构建更加完善的要素市场化配置体制机制的意见[EB/OL]. [2025-07-16]. https://www.gov.cn/gongbao/content/2020/content_5503537.htm. (XinHua News Agency. The Central Committee of the Communist Party of China and The State Council. Opinions on building a more complete market-based mechanism for the allocation of factors[EB/OL]. [2025-07-16]. https://www.gov.cn/gongbao/content/2020/content_5503537.htm.)
[2] 国家发展和改革委员会. 国家数据局成立恰逢其时意义深远[EB/OL]. [2025-07-16]. https://www.ndrc.gov.cn/wsdwhfz/202311/t20231107_1361831.html. (National Development and Reform Commission. The establishment of the National Data Bureau is timely and of profound significance[EB/OL]. [2025-07-16]. https://www.ndrc.gov.cn/wsdwhfz/202311/t20231107_1361831.html.)
[3] 深圳市新材料行业协会.数据交易时代，全国数据交易所已达58家（附完整名单）[EB/OL]. [2025-07-16]. https://mp.weixin.qq.com/s?__biz=MzAxNDUwNzY5OA==&mid=2651768096&idx=6&sn=9a04b06b16fe128331abb4ae9aad5aea&chksm=819bf396d34d33b53470f2431a4368c47ff5eb55ca8ac9c330e089b58b5e27d8c4c2eec7b2c0&scene=27. (Shenzhen New Materials Industry Association. In the era of data trading, there are already 58 data exchanges in China (complete list attached)[EB/OL]. [2025-07-16]. https://mp.weixin.qq.com/s?__biz=MzAxNDUwNzY5OA==&mid=2651768096&idx=6&sn=9a04b06b16fe128331abb4ae9aad5aea&chksm=819bf396d34d33b53470f2431a4368c47ff5eb55ca8ac9c330e089b58b5e27d8c4c2eec7b2c0&scene=27.)
[4] 夏义堃, 丁念. 开放政府数据的发展及其对政府信息活动的影响[J]. 情报理论与实践, 2015, 38(12): 1-6, 19. (XIA Y K, DING N. The development of open government data and its impact on government information activities[J]. Information studies: theory & application, 2015, 38(12): 1-6, 19.)
[5] 付熙雯, 郑磊. 政府数据开放国内研究综述[J]. 电子政务, 2013(6): 8-15. (FU X W, ZHENG L. A review of domestic research on open government data[J]. E-government, 2013(6): 8-15.)
[6] 赵龙文, 洪逸飞, 赵雪琦. 政府开放数据资源利用与创新应用效能评价研究[J]. 现代情报, 2023, 43(7): 133-144. (ZHAO L W, HONG Y F, ZHAO X Q. Research on efficiency evaluation of open government data resource utilization and innovative application[J]. Journal of modern information, 2023, 43(7): 133-144.)
[7] DANNEELS L, VIAENE S, VAN DEN BERGH J. Open data platforms: discussing alternative knowledge epistemologies[J]. Government information quarterly, 2017, 34(3): 365-378.
[8] HOSSAIN M A, DWIVEDI Y K, RANA N P. State-of-the-art in open data research: insights from existing literature and a research agenda[J]. Journal of organizational computing and electronic commerce, 2016, 26(1/2): 14-40.
[9] MILLETTE C, HOSEIN P. A consumer focused open data platform[C]//20163rd MEC international conference on big data and smart city (ICBDSC). St. Augustine: University of the West Indies, 2016: 1-6.
[10] 复旦DMG. 中国地方公共数据开放利用报告（2025年度）[EB/OL]. [2026-01-28]. http://ifopendata.fudan.edu.cn/report. (Fudan University's DMG. China Local Government Public Data Openness and Utilization Report (2025)[EB/OL]. [2026-01-28]. http://ifopendata.fudan.edu.cn/report.)
[11] WANG F, ZHANG Z Q, MA X, et al. Paths to open government data reuse: a three-dimensional framework of information need, data and government preparation[J]. Information and management, 2023, 60(8): 103879.
[12] RYSSEVIK J. The Data Documentation Initiative (DDI) metadata specification[EB/OL]. [2025-07-16]. https://ddialliance.org/hubfs/sites/default/files/ryssevik_0.pdf.
[13] 袁红, 邱子清. 基于政府开放数据价值实现的公众参与行为生成机理及仿真研究：MOA框架下的探索[J]. 情报资料工作, 2023, 44(4): 54-65. (YUAN H, QIU Z Q. Generating mechanism and simulation research of public participation behavior based on value realization of government open data: exploration under MOA framework[J]. Information and documentation services, 2023, 44(4): 54-65.)
[14] 袁红, 邱子清. 开放政府数据公众利用意愿与行为悖离的成因及其作用路径研究[J]. 情报资料工作, 2024, 45(6): 50-58. (YUAN H, QIU Z Q. Research on the causes and action paths of the deviation between public willingness and behavior in using open government data[J]. Information and documentation services, 2024, 45(6): 50-58.)
[15] WEIL B H. Standards for writing abstracts [J]. Journal of the American Society for Information Science, 1970, 21(5): 351-357.
[16] DRONBERGER G B, KOWITZ G T. Abstract readability as a factor in information systems [J]. Journal of the American Society for Information Science, 1975, 26(2): 108-111.
[17] 孙瑞英, 吴泠茜. 公共数据开放研究的主题热度演化趋势分析与预测[J]. 情报科学, 2024, 42(12): 214-225. (SUN R Y, WU L Q. Evolutionary trend analysis and prediction of topic popularity on open public data research[J]. Information science, 2024, 42(12): 214-225.)
[18] MOON M J. Shifting from old open government to new open government: four critical dimensions and case illustrations[J]. Public performance & management review, 2020, 43(3): 535-559.
[19] GEIGER C P, VON LUCKE J. Open government and (linked)(open)(government)(data)[J]. JeDEM-ejournal of edemocracy and open government, 2012, 4(2): 265-278.
[20] 周霞, 王萍, 陈为东, 等. 政府开放数据用户认知图式联结模型——数据故事视角[J]. 情报资料工作, 2021, 42(4): 64-71. (ZHOU X, WANG P, CHEN W D, et al. Government open data user cognitive schematic connection model: from the perspective of data story[J]. Information and documentation services, 2021, 42(4): 64-71.)
[21] 黄如花, 王春迎. 我国政府数据开放平台现状调查与分析[J]. 情报理论与实践, 2016, 39(7): 50-55. (HUANG R H, WANG C Y. Survey and analysis of the status of government open data platform in China[J]. Information studies: theory & application, 2016, 39(7): 50-55.)
[22] 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.
[23] 周志峰, 黄如花. 国外政府开放数据门户服务功能探析[J]. 情报杂志, 2013, 32(3): 144-147, 165. (ZHOU Z F, HUANG R H. An analysis on service function of foreign government open data portals[J]. Journal of intelligence, 2013, 32(3): 144-147, 165.)
[24] 王迪, DEBORAH R. 我国省级政府数据开放平台可用性评估[J]. 图书馆论坛, 2021, 41(6): 106-117. (WANG D, DEBORAH R. A usability evaluation of province-level open government portals in China[J]. Library tribune, 2021, 41(6): 106-117.)
[25] 段尧清, 邱雪婷, 何思奇. 主题与区域视角下我国城市政府开放数据利用现状分析[J]. 图书情报工作, 2018, 62(20): 65-76. (DUAN Y Q, QIU X T, HE S Q. Analysis on the status of China's urban government open data utilization from the thematic and regional perspectives[J]. Library and information service, 2018, 62(20): 65-76.)
[26] QUARATI A. Open government data: usage trends and metadata quality[J]. Journal of information science, 2023, 49(4): 887-910.
[27] 赵龙文, 莫荔媛, 黄跃萍. 基于结构和属性特征的政府开放数据检索方法研究[J]. 情报杂志, 2017, 36(5): 148-152, 123. (ZHAO L W, MO L Y, HUANG Y P. Retrieval method for open government data based on structure and attribute[J]. Journal of intelligence, 2017, 36(5): 148-152, 123.)
[28] 林鑫, 龙存钰, 罗宇. 面向政府开放数据的分面检索研究[J]. 图书情报工作, 2021, 65(16): 130-137. (LIN X, LONG C Y, LUO Y. Research on faceted search of government open data[J]. Library and information service, 2021, 65(16): 130-137.)
[29] 陈美, 何祺. 基于文本挖掘的我国省级政府开放数据平台比较研究[J]. 图书情报工作, 2022, 66(7): 88-98. (CHEN M, HE Q.A comparative study on open data platforms of provincial government in China based on text mining[J]. Library and information service, 2022, 66(7): 88-98.)
[30] MARTINO D, ROSIM S, QUARATI A. Hydrographic datasets in open government data portals: mitigation of reusability issues through provenance documentation[C]//Research conference on metadata and semantics research. Cham: Springer, 2019: 307-319.
[31] 朱红灿, 沈超. 认知视角下科研用户政府开放数据利用影响因素研究——基于扎根理论的探索性分析[J]. 现代情报, 2021, 41(10): 40-46, 100. (ZHU H C, SHEN C. Research on the factors influencing the use of open government data of scientific research users from the perspective of cognition: exploratory analysis based on grounded theory[J]. Journal of modern information, 2021, 41(10): 40-46, 100.)
[32] 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.)
[33] KING R. A comparison of the readability of abstracts with their source documents [J]. Journal of the American Society for Information Science, 1976, 27(2): 118-121.
[34] DUPREE L H, CASAPAO, A M. Research and scholarly methods: writing abstracts [J]. Journal of the American College of Clinical Pharmacy, 2023(6): 1146-1155.
[35] TENOPIR C, JASCO P. Quality of abstracts[EB/OL]. [2025-07-16]. https://trace.tennessee.edu/cgi/viewcontent.cgi?article=1134&context=utk_infosciepubs.
[36] PINTO M. A grounded theory on abstracts quality: weighting variables and attributes[J]. Scientometrics, 2006, 69(2): 213-226.
[37] Guidelines for Abstracts: an American National Standard: ANSI/Z39-14-1997(R2015)[S]. Baltimore: National Information Standards Organization, 2015.
[38] Documentation-Abstracts for publications and documentation: ISO 214:1976[S]. Switzerland: International Organization for Standardization, 1976.
[39] 王义真, 欧石燕, 陈金菊. 民事裁判文书两阶段式自动摘要研究[J]. 数据分析与知识发现, 2021, 5(5): 104-114. (WANG Y Z, OU S Y, CHEN J J. Automatic abstracting civil judgment documents with two-stage procedure[J]. Data analysis and knowledge discovery, 2021, 5(5): 104-114.)
[40] 赵洪. 生成式自动文摘的深度学习方法综述[J]. 情报学报, 2020, 39(3): 330-344. (ZHAO H. A Survey of deep learning methods for abstractive text summarization[J]. Journal of the China Society for Scientific and Technical Information, 2020, 39(3): 330-344.)
[41] 毛兴静, 魏勇, 杨昱睿, 等. 基于关键词异构图的生成式摘要研究[J]. 计算机科学, 2024, 51(7): 278-286. (MAO X J, WEI Y, YANG Y R, et al. KHGAS: keywords guided heterogeneous graph for abstractive summarization[J]. Computer science, 2024, 51(7): 278-286.)
[42] MURRAY G, RENALS S, CARLETTA J, et al. Evaluating automatic summaries of meeting recordings[EB/OL]. [2025-07-16]. https://era.ed.ac.uk/bitstream/handle/1842/1039/murray-mtse05.pdf?sequence=1&isAllowed=y.
[43] 张乐, 冷基栋, 吕学强, 等. RLCPAR:一种基于强化学习的中文专利摘要改写模型[J]. 数据分析与知识发现, 2021, 5(7): 59-69. (ZHANG L, LENG J D, LÜ X Q, et al. RLCPAR: a rewriting model for Chinese patent abstracts based on reinforcement learning[J]. Data analysis and knowledge discovery, 2021, 5(7): 59-69.)
[44] LLORET E, PALOMAR M. Challenging issues of automatic summarization: relevance detection and quality-based evaluation[J]. Informatica, 2010, 34(1): 29-35.
[45] ERMAKOVA L, FIRSOV A. GRAD: a metric for evaluating summaries[EB/OL]. [2025-07-16]. https://www.asso-aria.org/coria/2018/paper6.pdf.
[46] ORǍSAN C. An evolutionary approach for improving the quality of automatic summaries[C]//Proceedings of the ACL 2003 workshop on multilingual summarization and question answering. Sapporo: Association for Computational Linguistics, 2003: 37-45.
[47] CAO M, ZHUGE H. Automatic evaluation of text summarization based on semantic link network[C]//201915th international conference on semantics, knowledge and grids (SKG). Zhuhai: IEEE, 2019: 107-114.
[48] 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 evaluation of provincial open government data platforms in China[J]. E-government, 2019(3): 58-71.)
[49] MOEN W E. The government information locator service: discovering, identifying, and accessing spatial data[EB/OL]. [2025-07-16]. https://www.ideals.illinois.edu/items/442.
[50] Cabinet Office, e-Government Unit.e-Government Metadata Standard v3.1[EB/OL]. [2025-07-16]. https://cdn.nationalarchives.gov.uk/documents/information-management/egms-metadata-standard.pdf.
[51] 郑磊, 韩笑, 朱晓婷. 地方政府数据开放平台研究: 功能与体验[J]. 电子政务, 2019(9): 12-22. (ZHENG L, HAN X, ZHU X T. Research on local open government data platform: functions and experience[J]. E-government, 2019(9): 12-22.)
[52] WANG V, SHEPHERD D. Exploring the extent of openness of open government data-a critique of open government datasets in the UK[J]. Government information quarterly, 2020, 37(1): 101405.
[53] HOXHA J, BRAHAJ A. Open government data on the web: a semantic approach[C]//2011 international conference on emerging intelligent data and web technologies. Tirana: IEEE, 2011: 107-113.
[54] NIKIFOROVA A, MCBRIDE K. Open government data portal usability: a user-centred usability analysis of 41 open government data portals[J]. Telematics and informatics, 2021, 58(4): 101539
[55] RILEY M, KILKENNY M F, ROBINSON K, et al. A documentary analysis of Victorian government health information assets’ Websites to identify availability of documentation for data sharing and reuse in Australia[J]. Health information management journal, 2023, 54(1): 84-92.
[56] 周文泓, 夏俊英, 谢玉雪. 我国地方政府开放数据的进展、问题与对策[J]. 图书馆论坛, 2018, 38(7): 72-79. (ZHOU W H, XIA J Y, XIE Y X. Progress, problems and countermeasures of Chinese local governments' open data[J]. Library tribune, 2018, 38(7): 72-79.)
[57] 郭鑫, 聂磊, 王继民, 等. 面向数据检索的我国政府开放数据质量评估方法研究[J]. 数据分析与知识发现, 2025, 9(4): 85-98. (GUO X, NIE L, WANG J M, et al. Research on China's government open data quality assessment methods for data retrieval[J]. Data analysis and knowledge discovery, 2025, 9(4): 85-98.)
[58] SWELLER J. Cognitive load during problem solving: effects on learning[J]. Cognitive science, 1988, 12(2): 257-285.
[59] 曹芬芳, 程静, 叶顺强, 等. 认知负荷视角下数字图书馆用户从众信息使用行为研究[J]. 图书情报工作, 2023, 67(2): 52-63. (CAO F F, CHENG J, YE S Q, et al. Research on user herd information use behavior in the context of digital library from the perspective of cognitive load[J]. Library and information service, 2023, 67(2): 52-63.)
[60] GIBSON J J. The perception of the visual world[M]. Boston: Houghton Mifflin, 1950.
[61] NORMAN D A. Affordance, conventions, and design[J]. Interactions, 1999, 6(3): 38-43.
[62] 赵宇翔, 朱庆华. 感知示能性在社会化媒体后续采纳阶段的调节效应初探[J]. 情报学报, 2013, 32(10): 1099-1111. (ZHAO Y X, ZHU Q H. Exploring the moderating effects of perceived affordance at social media post-adoption stage[J]. Journal of the China Society for Scientific and Technical Information, 2013, 32(10): 1099-1111.)
[63] 王芳, 李兆静, 白美玲. 基于VFT的电子政府项目评价指标体系构建[J]. 中国行政管理, 2014(3): 32-37. (WANG F, LI Z J, BAI M L. Developing an evaluation indicator system for e-government project: using a VFT approach[J]. Chinese public administration, 2014(3): 32-37.)
[64] KEENEY R L. Value-focused thinking: identifying decision opportunities and creating alternatives[J]. European journal of operational research, 1996, 92(3): 537-549.
[65] PARNELL G S. Value-Focused thinking[EB/OL]. [2025-07-16]. https://www.academia.edu/2817001/Value_Focused_Thinking.
[66] 陈琪, 葛志松, 许骏龙. 软件文档质量评价方法研究[J]. 电脑知识与技术, 2018, 14(30): 60-61, 69. (CHEN Q, GE Z S, XV J L. Research on software document quality evaluation methods[J]. Computer knowledge and technology, 2018, 14(30): 60-61, 69.)
[67] HAHS-VAUGHN D L, ONWUEGBUZIE A J. Quality of abstracts in articles submitted to a scholarly journal: a mixed methods case study of the journal Research in the Schools[J]. Library & information science research, 2010, 32(1): 53-61.
[68] DRONBERGER G B, KOWITZ G T. Abstract readability as a factor in information systems [J]. Journal of the American Society for Information Science, 1975, 26(2): 108-111.
[69] PITLER E, LOUIS A, NENKOVA A. Automatic evaluation of linguistic quality in multi-document summarization[C]//Proceedings of the 48th annual meeting of the Association for Computational Linguistics. Uppsala: Association for Computational Linguistics, 2010: 544-554.
[70] MOLINA M P. Documentary abstracting: toward a methodological model[J]. Journal of the American Society for Information Science, 1995, 46(3): 225-234.
[71] GOLDSTEIN J, MITTAL V, CARBONELL J, et al. Creating and evaluating multi-document sentence extract summaries[C]//Proceedings of the Ninth international conference on information and knowledge management. New York: Association for Computing Machinery, 2000: 165-172.
[72] 复旦大学数字与移动治理实验室. 中国地方公共数据开放利用报告——省域(2023年度)[EB/OL]. [2025-07-16]. http://ifopendata.fudan.edu.cn/report. (Fudan University's DMG.Report on the open utilization of local public data in China - provincial level (2023)[EB/OL]. [2025-07-16]. http://ifopendata.fudan.edu.cn/report.)
