| 涂志芳,张子超.国家科学数据中心典型服务案例：对象、内容与成效[J].数字图书馆论坛,2025,21(11):20~29 |
| 国家科学数据中心典型服务案例：对象、内容与成效 |
| Typical Service Cases of National Science Data Centers in China:Object, Content, and Outcome |
| 投稿时间：2025-09-29 |
| DOI：10.3772/j.issn.1673-2286.2025.11.003 |
| 中文关键词: 国家科学数据中心；科学数据服务；服务对象；服务内容；服务成效 |
| 英文关键词: National Science Data Center; Scientific Data Service; Service User; Service Content; Service Outcome |
| 基金项目:本研究得到国家社会科学基金青年项目“开放科学数据的经济价值及其测度研究”（编号：21CTQ019）、2024年度中国科学院文献情报中心青促会项目“科技基础能力建设中的科学数据能力研究：聚焦图书情报机构”（编号：E5550301）资助。 |
| 作者 | 单位 | | 涂志芳 | 中国科学院文献情报中心 | | 张子超 | 中国农业大学图书馆 |
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| 中文摘要: |
| 国家科学数据中心的典型服务案例在很大程度上代表了我国科学数据服务的最佳实践，对其特征的系统分析可为服务的可持续发展提供参考。收集20个国家科学数据中心的292项典型服务案例，采用内容分析法并借鉴拉斯韦尔5W分析框架，从服务对象、服务内容与方式、服务成效3个维度进行分析。统计分析显示，服务对象主要为高等院校和科研院所（62.7%），其次为企业和市场用户（22.3%）以及政府和公共部门（26.7%），社会公众占比仅为2.4%。服务内容与方式以基础数据服务（66.1%）和技术服务与智力支持（46.9%）为主，系统与工具平台服务（8.2%）及其他服务（6.5%）相对较少。服务成效以科学技术成效（59.6%）为主，经济成效（24.7%）和社会成效（28.1%）也较为明显。交叉分析表明，不同用户群体在接受数据服务时产生的服务成效类型存在显著差异：科研类用户主要产生科学技术成效，企业类用户更突出经济成效，而政府类用户则以社会成效为主。基于分析结果，为数据服务机构提出发展建议：延伸服务覆盖范围与协同机制、不断升级服务能力体系、拓展价值实现路径与评估机制。 |
| 英文摘要: |
| The typical service cases of China’s national science data centers largely represent best practices in scientific data services. A systematic analysis of their characteristics can provide valuable references for the sustainable development of such services. This study collects 292 service cases from 20 national science data centers and conducts a content analysis along with Lasswell’s 5W analytical framework to examine the cases from three dimensions: service users, service contents and methods, and service outcomes. The results show that the primary users are higher education institutions and research institutes (62.7%), followed by enterprise and market users (22.3%) and government and public sector users (26.7%), while the general public users account for only 2.4%. In terms of contents and methods, basic data services (66.1%) and technical and intellectual support services (46.9%) are the most common, whereas system and tool platform services (8.2%) and other services (6.5%) are relatively limited. Regarding outcomes, scientific and technological achievements are the most prominent (59.6%), with notable economic (24.7%) and social (28.1%) impacts as well. The cross-analysis indicates that different user groups exhibit significant differences in the types of service outcomes they achieve when receiving data services. Research-oriented users primarily generate scientific and technological outcomes. Enterprise users tend to achieve economic outcomes. Government users mainly realize social outcomes. Based on the findings, this study proposes several recommendations for data service institutions: expanding service coverage and coordination mechanisms, upgrading service capacity system, and broadening value realization and evaluation pathways. |
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