联系我们

论文查询结果	返回搜索

论文编号：	10083
作者编号：	2120162794
上传时间：	2018/6/8 9:49:16
中文题目：	国内外科学数据管护政策比较研究
英文题目：	Comparative Research on Scientific Data Curation Policy at Home and Abroad
指导老师：	王芳
中文关键字：	科学数据；数据管护；政策
英文关键字：	scientific data；data curation；policy
中文摘要：	本文以科学数据管护政策为研究对象，通过对中国、英国、美国、澳大利 亚科学数据管护体系和内容要素的研究，将科学数据管护与科研活动实践相结 合，探究四国政策制定的实践进展和管理侧重，对完善我国科学数据管护政策 体系具有重要的实践意义，也将促进我国科学数据有序管理，实现价值最大化。 国外对科学数据管护的研究早在2000 年左右就已经开展起来，国内进展相 对缓慢。目前，对科学数据管护政策的研究主要集中在对管理、开发与共享、 存储和保存等某一方面的研究，全面研究科学数据管护政策的文献相对较少， 且没有形成完备的体系。随着科学数据量的激增，对其进行主动性、持续性管 护需求日渐增强，从政策机制上保障科学数据管护过程将更为迫切。 本文采用内容分析、比较研究和文献计量的研究方法，对中国、英国、美 国、澳大利亚的科学数据管护政策进行外部特征和内容要素的比较分析。主要 的研究内容分为三个部分：（1）全面搜集中国、英国、美国、澳大利亚四个国 家包括政府、科研资助机构和大学制定的科学数据管护政策。（2）四国科学数 据管护政策的外部特征分析。首先，从发布时间、发布数量、发布机构全面把 握四个国家政策制定的实践历程和宏观进展。然后，运用KNIME 对政策文本进 行词频统计，梳理出现在各国政策中的高频词汇。最后，通过对外部特征分析， 总结政策制定的总体特点。（3）四国科学数据管护政策的内容要素分析和比较。 首先，根据英国和美国对科研资助机构政策评估的内容要素表，提出本研究所 需的科学数据管护政策内容要素表。然后，对各国政策进行逐项分析，比较各 国政策的管理侧重和共同关注点。最后，从分析比较中发现各国在政策制定的 突出之处，提出我国制定科学数据管护政策的有益建议。 通过对比四国政策的外部特征和内容要素得出，我国科学数据管护政策的 制定实践应当从宏观和微观层面进行改进。宏观层面，政策制定应当政府先行， 积极引导。同时，大学作为科学数据的重要产出地，也应成为政策制定的重要 力量。此外，逐步提高科研人员的数据管护意识。微观层面，政策应当逐步完 善数据组织、数据共享、数据复用、数据处置方面的内容要素。
英文摘要：	This thesis takes scientific data curation policy as research objective, and it combines scientific data curation policy with scientific research practice through a study on Chinese, British, American and Australian scientific data curation systems and their corresponding contents. The thesis probes into the policy-making practice process and management emphasis, which is of great practical significance to China’s scientific data curation policy systems, and it shall promote the orderly management of China’s scientific data, thus maximizing the value of data. Overseas scientific data curation research starts around the year 2000, but domestic research is in slow progress. In present days, the research on scientific data curation policy mainly lies in one aspect of management, development and sharing, storage and preservation, and there are limited references on the overall research of scientific data curation policy, yet there is no complete system. As the surging of scientific data, the need for continuously protecting scientific dada is becoming stronger, and it is more urgent to ensure scientific data curation from policies. This thesis adopted contents analysis, comparison study and qualitative reference research methods, and conducted a comparison research on the external features and internal contents of the scientific data curation policies from China, the United Kingdom, the United States and Australia. The main research contents are divided into three parts: (1) Collect the scientific data curation policies of China, the United Kingdom, the United States and Australia, including those made by governments, scientific research institutes and universities. (2) Analyze the external features of the scientific data curation policies of the four countries. Firstly, make an overall study of the practice courses and macro-progress of the policies made by the four countries from the aspects of issuing time, issuing quantity and issuing institutes. Secondly, use KNIME to calculate the word frequencies of the policies and collect high-frequency words. Finally, summarize the overall features of policy-making. (3) Analyze and compare the contents of the scientific data curation policy of the four countries. Firstly, make a contents table needed in this research based on British and American policy evaluation. Secondly, compare each item of all policies, and compare the management emphasis and common focus of all policies. Finally, find the highlights of policy-making from different analysis and comparison, and make suggestions on China’s scientific data curation policy. Through the comparison of the external features and contents of the policies of the four countries, China’s scientific data curation policy-making practice needs macro-level and micro-level improvements. In the macro-level, governments need to initiate and guide the policy-making. Meanwhile, universities need to become important sources of policy-making as an important output of scientific data. Moreover, raise the scientific data curation awareness of researchers. In the micro-level, improvements are needed regarding data organization, data sharing, data reusing and data disposal in policies.
查看全文：	预览  下载(下载需要进行登录)