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国外高校科研数据服务需求识别模型特点与启示
引用本文:迟玉琢,王延飞.国外高校科研数据服务需求识别模型特点与启示[J].图书情报工作,2016,60(4):37-43.
作者姓名:迟玉琢  王延飞
作者单位:1. 北京大学信息管理系 北京 100871; 2. 哈尔滨工程大学图书馆 哈尔滨 150001; 3. 北京大学海洋战略研究中心 北京 100871
基金项目:本文系黑龙江省高校图工委第四届科研课题"高校科研数据服务需求研究"(项目编号:2015-B-026)研究成果之一。
摘    要:目的/意义] 为启发我国高校科研数据管理工作,介绍并分析国外高校科研数据服务需求识别模型,为我国高校开展科研数据管理服务提供参考借鉴。方法/过程] 采用文献研究和案例分析方法,比较国外高校科研数据服务需求识别模型、实施过程和方法,分析模型特点,从而提出对我国的启示。结果/结论] 国外高校科研数据服务需求识别分需求调查和需求评估两个主要环节,模型功能各有侧重,使用指导详尽具体,实施过程弹性灵活。建议我国高校在采用上述模型进行科研数据服务需求识别研究时,应以科研项目或团队为调查范围,与调查对象建立良好的沟通,并根据具体情况进行弹性调整。

关 键 词:科研数据管理  科研数据服务需求  Data  asset  framework  Data  curation  profiles  AIDA  CARDIO  
收稿时间:2015-01-12
修稿时间:2016-02-10

The Characteristics and Enlightenments of Research Data Service Requirements Identification Model in Foreign High Education Institutions
Chi Yuzhuo,Wang Yanfei.The Characteristics and Enlightenments of Research Data Service Requirements Identification Model in Foreign High Education Institutions[J].Library and Information Service,2016,60(4):37-43.
Authors:Chi Yuzhuo  Wang Yanfei
Affiliation:1. Department of Information Management, Peking University, Beijing 100871; 2. Harbin Engineering University Library, Harbin 150001; 3. Ocean Strategy Research Center, Peking University, Beijing 100871
Abstract:Purpose/significance] Taking inspiring research data management of high education institutions(HEIs) as a starting point, this paper introduces and analyses foreign HEIs'research data services requirements identification model and provides reference for the research data services planning of HEIs for our country. Method/process] This paper uses literature research and case analysis to compare the processes and methods, analyzes the features of research data service requirements identification models and prompts the enlightenment. Result/conclusion] This research shows that research data services requirements identification of HEIs are divided into two key phrases which are requirements survey and assessment. The model's functions focus on the two key phrasesse parately, the guidance of the models detailed and concrete, and the implement flexible. It recommends that we should choose research projects or research teams as objects, have a good communication with them and give an adjustment according to the situation.
Keywords:research data management  research data service requirements  Data asset framework  Data curation profiles  AIDA  CARDIO  
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