摘要
[目的/意义]针对科学数据开放政策与个人数据保护政策两类政策群通过政策文本内容分析法进行政策协同评估,以期从政策文本量化分析的研究视角为现行科学数据开放政策的制定与完善提出政策建议.[方法/过程]首先从科学数据开放政策和个人数据保护政策两类政策群中选取若干标杆政策,其次通过内容分析法针对标杆政策构建两类政策群之间政策协同观测的政策文本内容分析单元,然后通过对比类推法针对两类政策群之间的政策协同情况进行政策协同评估,最后通过描述性推论针对政策协同评估结果对现行科学数据开放政策的制定与完善提出政策建议.[结果/结论]建议各个利益相关者中的主要政策主体尽快制定与发布独立的个人数据保护相关政策文件,依据所涉及的全部数据生命周期阶段制定更为完整、细化的个人数据保护相关政策内容,并依据新出台的个人数据保护法针对数据权利、处理目的、处理方式等相关政策内容进行补充、调整与完善.
[Purpose/significance]This paper conducted policy synergy assessment for the two policy groups of open scientific data policy and personal data protection policy with the method of policy text content analysis,in order to make policy suggestions for the formulation and improvement of the current open scientific data policies from the research perspective of quantitative analysis of policy texts.[Method/process]This paper first firstly selected some benchmark policies from the two policy groups of open scientific data policy and personal data protection policy,secondly constructed the policy text content analysis units of policy synergy observation between the two types of policy groups through the content analysis method,and then conducted policy synergy assess・ment for the two types of policy groups through the contrast analogy method,and finally made policy suggestions for the formulation and improvement of the current open scientific data policies through descriptive inference for the results of above policy synergy assessment.[Result/conclusion]It is recommended that the main policy subjects of the various stakeholders develop and publish independent personal protection policy documents as soon as possible,and formulate more complete and detailed policy contents related to personal data protection based on all the data lifecycle phases involved,and also supplement,adjust and improve the relevant policy contents of data rights,processing purposes,processing methods and so forth according to the newly introduced personal data protections laws.
出处
《情报理论与实践》
CSSCI
北大核心
2019年第12期49-54,93,共7页
Information Studies:Theory & Application
基金
国家社会科学基金项目“科学数据开放政策分析与评估研究”的成果之一,项目编号:16BTQ060
