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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
Alternative TitleData Management Services in the Transition of Research Model: An Approach of Implementing Open Access, Open Data and Open Science
Source Publication中国图书馆学报
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。
Other Abstract
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, information centers, and so on. (2) To determine content of data management 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 tab. 7 refs.
Keyword数据管理 开放科学 开放获取 开放数据 数据权益 数据对话 科研模式 Open Science Open Data Open Access Data rights Data conversation Data management
Subject Area图书馆、情报与文献学
WOS KeywordOpen Science ; Open Data ; Open Access ; Data rights ; Data conversation ; Data management
Indexed ByCSSCI
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Document Type期刊论文
Corresponding Author顾立平
Recommended Citation
GB/T 7714
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(238):43-58.
APA 顾立平.(2018).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.中国图书馆学报,44(238),43-58.
MLA 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".中国图书馆学报 44.238(2018):43-58.
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