An empirical study on the performance evaluation of scientific data sharing platforms in China
| Date | 15 June 2015 |
| Pages | 211-229 |
| Published date | 15 June 2015 |
| DOI | https://doi.org/10.1108/LHT-09-2014-0093 |
| Author | Li Si,Yueting Li,Xiaozhe Zhuang,Wenming Xing,Xiaoqin Hua,Xin Li,Juanjuan Xin |
| Subject Matter | Library & information science,Librarianship/library management,Library technology |
An empirical study on the
performance evaluation
of scientific data sharing
platforms in China
Li Si
Center for the Studies of Information Resources,
Wuhan University, Wuhan, China
Yueting Li and Xiaozhe Zhuang
Department of Library Science,
School of Information Management,
Wuhan University, Wuhan, China
Wenming Xing
Department of Library Science,
School of Public Administration,
Xiangtan University, Xiangtan, China
Xiaoqin Hua
Zhejiang Institute of Hydraulics &Estuary, Hangzhou, China, and
Xin Li and Juanjuan Xin
Department of Library Science,
School of Information Management, Wuhan University, Wuhan, China
Abstract
Purpose –The purpose of this paper is to conduct performance evaluation of eight main
scientific data sharing platforms in China and find existing problems, thus providing reference
for maximizing the value of scientific data and enhancing scientific research efficiency.
Design/methodology/approach –First, the authors built an evaluation indicator system for the
performance of scientific data sharing platforms. Next, the analytic hierarchy process was employed to
set indicator weights. Then, the authors use experts grading method to give scored for each indicator
and calculated the scoring results of the scientific data sharing platform performance evaluation.
Finally, an analysis of the results was conducted.
Findings –The performance evaluation of eight platforms is arrangedb y descendingorder by the
value of F: the Data Sharing Infrastructure of Earth System Science (76.962), the Basic Science
Data Sharing Center (76.595), the National Scientific Data Sharing Platform for Population and
Health (71.577), the China Earthquake Data Center (66.296), the China Meteorological Data Sharing
Service System (65.159), the National Agricultural Scientific Data Sharing Center (55.068),
the Chinese Forestry Science Data Center (56.894) and the National Scientific Data Sharing &
Service Network on Material Environmental Corrosion (Aging) (52.528). And some existing
shortcomings such as the relevant policies and regulation, standards of data description and
organization, data availability and the services should be improved.
Library Hi Tech
Vol. 33 No. 2, 2015
pp. 211-229
©Emerald Group Publis hing Limited
0737-8831
DOI 10.1108/LHT-09-2014-0093
Received 26 September 2014
Revised 18 December 2014
Accepted 6 March 2015
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/0737-8831.htm
This paper is one of the research outcomes of a Humanities and Social Sciences Project supported
by the Ministry of Education of P.R. China (Project Name: Study on the Guarantee of Scientific
Data Integration and Sharing in China, Project No. 13YJA870016).
211
Scientific data
sharing
platforms in
China
Originality/value –This paper is mainly discussing about the performance evaluation system
covering operation management, data resource, platform function, service efficiency and influence of
eight scientificdata sharing centers and made comparative analysis. Itreflected the reality development
of scientific data sharing in China.
Keywords Performance measurement, Data management
Paper type Research paper
1. Introduction
Scientific data refers to the raw and basic data acquired in scientific activities (such as
experiment, observation, detection, survey) or in other ways as well as the data sets
processed and organized systematicallyaccording to different scientific activities’needs.
Since 2003, the Chinese government has invested more than two billion RMB ($320
million) to the National Science & Technology Infrastructure Program. Currently, the
program has achieved remarkable progress in the integration and sharing of scientific
resources, involving large-scale scientific instruments, natural science and technology
resources, scientific data and literature. In 2011, the Ministry of Science and Technology
and the Ministry of Finance of the People’s Republic of China jointly invited experts to
assess the first batch of National Science & Technology Infrastructure. In total, 23
platforms obtained qualifications, among which seven focussed on scientific data
sharing. The authors selected these seven platforms as the evaluation objects, along
with the Basic Science Data Sharing Center (shown in Table I), and conducted an
No. Name of platform
Construction unit of platform
(competent department) URL
1 National Scientific Data
Sharing & Service
Network on Material
Environmental
Corrosion (Aging)
University of Science and
Technology Beijing (Ministry of
Education)
www.ecorr.org/
2 Chinese Forestry
Science Data Center
Chinese Academy of Forestry
(State Forestry Administration)
www.cfsdc.org
3 Data Sharing
Infrastructure of Earth
System Science
Institute of Geographical Sciences
and Natural Resources Research,
Chinese Academy of Sciences
(Academy of Sciences)
www.geodata.cn/Portal/?
isCookieChecked ¼true
4 National Scientific Data
Sharing Platform for
Population and Health
Chinese Academy of Medical
Sciences (Ministry of Health)
www.ncmi.cn/1
5 National Agricultural
Scientific Data Sharing
Center
Agriculture Information Institute
of Chinese Academy of Agriculture
Science (Ministry of Agriculture)
www.agridata.cn/
6 China Earthquake Data
Center
China Earthquake Networks
Center (China Earthquake
Administration)
http://data.earthquake.cn/
index.html
7 China Meteorological
Data Sharing Service
System
National Meteorological
Information Center (China
Meteorological Administration)
http://cdc.cma.gov.cn/home.do
8 Basic Science Data
Sharing Center
Chinese Academy of Sciences
(Ministry of Science and
Technology)
www.nsdc.cn/index.html
Table I.
The list of eight
scientific data
sharing platforms
212
LHT
33,2
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