图书情报知识 ›› 2022, Vol. 39 ›› Issue (1): 119-129.doi: 10.13366/j.dik.2022.01.119

• 知识、学习与管理 • 上一篇    下一篇

科学数据中心用户注册协议的合规性评估研究

文禹衡,金铭   

  • 出版日期:2022-01-10 发布日期:2022-03-19

Compliance Assessment of User Registration Agreements of Scientific Centers

  • Online:2022-01-10 Published:2022-03-19

摘要: [目的/意义]构建科学数据中心用户注册协议合规评估指标体系并呈现合规程度,旨在促进科学数据中心依规建设和完善。[研究设计/方法]运用扎根理论,以用户注册协议为样本建立合规评估点,并对照合规依据逐一分析得出评估结果。[结论/发现]构建包括5项一级指标、13项二级指标、83项三级指标在内的评估指标体系,评估后可知:科学数据中心用户注册协议的总体合规程度不高;合规点方面,平台自我免责方面的合规性相对较高,付费模式和数据归属方面的合规性较低;平台方面,国家林业和草原科学数据中心、国家气象科学数据中心合规程度相对较高,国家海洋科学数据中心合规程度相对较低。为提升科学数据中心用户注册协议合规性,需要完善风险预警机制,充分保护用户信息,建立数据产权机制,优化服务付费模式,以及重新平衡用户与平台间的权利与义务。[创新/价值]以科学数据中心的用户注册协议为研究对象,构建评估用户注册协议合规性的指标体系,并提出具体评估的操作方法,可为其他领域用户注册协议合规性评估提供框架基础。

关键词: 合规性, 用户协议, 数据中心, 科学数据, 扎根理论

Abstract: [Purpose/Significance] This paper aims to promote the construction and improvement of scientific data centers in accordance with laws and regulations by building a scientific data center user registration agreements' compliance assessment system and presenting the compliance of scientific data centers' user registration agreements. [Design/Methodology] With the use of grounded theory , user registration agreements were used as samples to establish compliance assessment points, and the results were analyzed one by one according to the compliance regulations. [Findings/Conclusion] This paper builds an assessment system which includes five first-level indicators, thirteen second-level indicators, and eighty-three third-level indicators. After the assessment, it has been found that the overall compliance rate of user registration agreements of scientific data centers is not high; in terms of compliance points, the rate of platforms' compliance with self-exemption is relatively high, and the rate of compliance with payment models and data affiliation is relatively low; in terms of platforms, the compliance level of the National Forestry and Grassland Science Data Center and the National Meteorological Science Data Center is relatively high, and the compliance level of the National Ocean Science Data Center is relatively low. In order to promote the compliance of the scientific data centers' user registration agreements, it is necessary to improve the risk forewarning mechanism, fully protect user information, establish a mechanism for data property and right, optimize the service paying model, and rebalance the rights and obligations between users and platforms. [Originality/Value] By taking the user registration agreements of scientific data centers as the research object, the system for compliance assessment of user registration agreements and the specific assessing methods have been proposed, which could provide a framework for the compliance assessment of user registration agreements in other fields.

Keywords: Compliance, User agreement, Data center, Scientific data, Grounded theory