文章摘要

顾立平.科研模式变革中的数据管理服务:实现开放获取、开放数据、开放科学的途径[J].中国图书馆学报,2018,44(6):43~58
科研模式变革中的数据管理服务:实现开放获取、开放数据、开放科学的途径
Data Management Services in the Transition of Research Model:An Approach of Implementing Open Access, Open Data and Open Science
投稿时间:2018-08-09  修订日期:2018-11-04
DOI:
中文关键词: 科研模式变革  数据管理服务  开放获取  开放数据  开放科学  数据对话
英文关键词: Research mode transition  Data management service  Open access  Open data  Open science  Data conversation
基金项目:
作者单位E-mail
顾立平 中国科学院文献情报中心副研究员 北京 100190
中国科学院大学图书情报与档案管理系岗位教授 北京 100049 
gulp@mail.las.as.cn,gulp@mail.las.as.cn 
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中文摘要:
      随着信息技术的发展与普及,全球学术交流模式总体朝着开放获取的趋势发展,信息时代的科学活动需要更多的数据开放和共享。开放数据是公众参与科学、推动社会进步的必要条件。无论是对于图书馆工作还是对于信息服务、知识服务来说,科研模式的变革都是一种新的挑战。与此同时,在此背景下,也产生了一种新的机遇,即与科研数据管理相关的一系列新内容,包括:明确科研数据管理各利益方;明确数据管理服务的主要内容;塑造科研数据开放共享文化,开展各个利益相关者之间的数据对话;进行科学数据开放共享各个环节的政策研究;明确数据馆员发挥的作用和职业价值。表6。参考文献70。
英文摘要:
With the development and popularization of information technology, the global academic exchange model has generally developed towards open access. Scientific activity in the information age requires more data to be opened and shared. From open access to open data and to open science, each step is fulfilled with innovation and challenge.Whether it is for library or for information service and knowledge service, the transition of research model is a new challenge. At the same time, a new opportunity is created in this environment, which is a series of new contents related to the research data management, including: 1)To determine each stakeholder in data management, including research funding institutions, research education institutions, research teams and their members, data centers of key project, Cross border Internet operators, international publisher/association or society publishing houses and libraries, information centers, informationization centers, and so on. 2)To determine content of data management, including data creation, data processing, data analysis, data preservation, data acquisition and data reuse. 3)Building open and sharing culture of research data and promoting data conversation among stakeholders. 4)To conduct policy research on scientific data openness, and conduct data management standards during life cycle of scientific research data. Scientific data open policy including, but not limited to state administrative level policy, research funding institution policy, research education institution policy, library and data center policy, publisher group and academic journal policy, and policy on institutional repository, academic repository and data repository, data management plan, data management service, data curation policy, and data level metric. Data management standards during life cycle of scientific research data have five nodes (data backup, data gathering, data selection, data collection, data sharing), four policy categories (project data, multi source data, fixed elements and variable elements), and three simple implementation steps (data deposit layer, data storage layer, data usage layer). 5)To definite role and value of data librarian. Data librarians implement data management service with professional knowledge, Library Science and Information Science knowledge, and promote open access, open data and open science. 6 tabs. 70 refs.
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