收稿日期: 2015-01-12
修回日期: 2016-02-10
网络出版日期: 2016-02-20
基金资助
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。
The Characteristics and Enlightenments of Research Data Service Requirements Identification Model in Foreign High Education Institutions
Received date: 2015-01-12
Revised date: 2016-02-10
Online published: 2016-02-20
[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。
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 . DOI: 10.13266/j.issn.0252-3116.2016.04.005
[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.
[1] 颜世霞. 加州理工大学图书馆数据监管需求评估项目的启示和思考[J].医学信息学杂志, 2014(12): 64-67.
[2] 张娟. 基于用户需求的高校图书馆科学数据服务研究[J].图书馆学研究, 2015(19): 74-79.
[3] 尹春晓. 高校科学数据管理服务模式研究[D].北京:中国科学院大学,2014.
[4] 胡永生,刘颖. 基于用户调查的高校科学数据管理需求分析[J].图书情报工作, 2013,57(6): 28-32,78.
[5] 项英, 赖剑菲,丁宁. 高校图书馆科学数据管理服务实践探索——以武汉大学社会科学数据管理为例[J].情报理论与实践, 2013(12): 89-93.
[6] Data asset framework[EB/OL].[2015-11-25].http://www.data-audit.eu/index.html.
[7] SARAH J, ALEXANDER B,UNA E. The data audit framework: a first step in the data management challenge[J].International journal of digital curation, 2008, 3 (2): 112-120.
[8] SARAH J, SEAMUS R,RAIVO R. The data audit framework: a toolkit to identify research assets and improve data management in research led institutions[EB/OL].[2015-12-14]. http://www.data-audit.eu/docs/DAF_iPRES_paper.pdf.
[9] 许丽丽. 英国高校科研数据管理研究[J].图书与情报, 2015(4): 123-127.
[10] Lessons learned from the intial four pilot audits[EB/OL].[2016-02-08].http://www.data-audit.eu/docs/DAF_lessons_learned.pdf.
[11] EDINA[EB/OL].[2015-11-28].http://edina.ac.uk/about/background.html.
[12] HARRY G. Southampton data survey: our experience and lessons learned[EB/OL].[2015-12-14]. http://eidcsr.oucs.ox.ac.uk/docs/EIDCSR%20Final%20Report%20v1%201.pdf.
[13] LUIS M. Using the data audit framework: an Oxford case study[EB/OL].[2015-12-14]. http://www.ict.ox.ac.uk/odit/projects/digitalrepository/findings.xml.
[14] BRIAN W. Data services for the sciences:a needs assessment[EB/OL].[2015-12-14]. http://www.ariadne.ac.uk/issue64/westra.
[15] THOMAS P. Creating a research data management service[J].International journal of digital curation, 2013, 8 (2): 146-156.
[16] Data curation profile[EB/OL].[2015-12-08].www.datacurationprofiles.org.
[17] SARAH J, WENDY A K, DIANNE D,et al. Using data curation profiles to design the datastar dataset registry[EB/OL].[2016-02-08].http://www.dlib.org/dlib/july13/wright/07wright.html.
[18] LANIECE M, MIRIAM B,MELANIE S. Evaluation of the assessing institutional digital assets (AIDA) toolkit[J].Science & technology libraries, 2012, 31 (1): 92-99.
[19] Using DAF and AIDA to scope data managment needs[EB/OL].[2015-11-28].http://www.data-audit.eu/docs/DC101_DAFAIDA_150709.pdf.
[20] CARDIO quick start guide[EB/OL].[2015-11-28].http://cardio.dcc.ac.uk/help/CARDIO_Quick_Start_Guide.pdf.
[21] SARA J,SEAMUS R,RAIVO R,et al. Data audit framework methodology[EB/OL].[2015-12-22]. http://www.data-audit.eu/DAF_Methodology.pdf.
[22] DAF online tool[EB/OL].[2016-02-10].http://www.data-audit.eu/tool2.
[23] DAF[EB/OL].[2016-02-10].http://www.data-audit.eu.
[24] The data asset framework implementation guide[EB/OL].[2015-12-14].http://www.data-audit.eu/docs/DAF_Implementation_Guide.pdf.
[25] JAKE C. The data curation profiles toolkit[EB/OL].[2015-12-04]. http://docs.lib.purdue.edu/dcptoolkit.
[26] JACOB C, MICHAEL W D, SCOTT B. Constructing data curation profiles[J].The international journal of digital curation, 2009, 4 (3): 93-103.
[27] AIDA self-assessment toolkit[EB/OL].[2016-02-08]. http://www.webarchive.org.uk/wayback/archive/20100711124750/http://aida.jiscinvolve.org/wp/toolkit.
[28] AIDA[EB/OL].[2015-12-02].http://aida.da.ulcc.ac.uk/wiki/index.php/The_AIDA_Toolkit.
[29] CARDIO[EB/OL].[2015-12-01].http://cardio.dcc.ac.uk.
[30] NANCY Y M,ANNE R K.The five organizational stages of digital preservation[EB/OL].[2015-12-01].http://readyresources-leslierknoblauch.com/2011/08/30/five-organizational-stages-of-digital-preservation/.
[31] SUZIE A, ANGUS W. How to discover requirements for research data management services[EB/OL].[2015-12-15]. http://www.dcc.ac.uk/resources/how-guides/how-develop-rdm-services.
/
| 〈 |
|
〉 |
