How to Evaluate and Select a Data Repository for Humanities and Social Science: A Case Study of Fudan University Data Repository for Humanities and Social Science
Yin, Shenqin; Zhang, Jilong; Jia, Menghao; Hu, Jie
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https://hdl.handle.net/2142/109279
Description
Title
How to Evaluate and Select a Data Repository for Humanities and Social Science: A Case Study of Fudan University Data Repository for Humanities and Social Science
Author(s)
Yin, Shenqin
Zhang, Jilong
Jia, Menghao
Hu, Jie
Issue Date
2020
Keyword(s)
data repository
social science
humanties
Geographic Coverage
China
Abstract
The evaluation and selection of the Data Repository for Humanities and Social Science (DRHSS) lacks efficient reference models, which affects the quality of DRHSS selection decision making. Based on literature research, field research, and a focus group method, this research proposes an evaluation criteria framework for the DRHSS system, which comprehensively uses qualitative assessment and quantitative assessment methods. Qualitative assessment focuses on comparative analysis of system functions, and a quantitative assessment describes the evaluation criteria framework and its comprehensive weighting score system. We want to apply the evaluation and selection criteria framework to assess the most appropriate system to ensure economical and technical feasibility. This case study looks at Fudan University’s investigation of the four major data repository platforms, Dspace, Fedora Commons, Dataverse, Nesstar, and an online analysis software application, SDA. Furthermore, we provide guidance for using the framework along with recommendations and limitations.
Publisher
Johns Hopkins University Press and the Illinois School of Information Sciences, University of Illinois at Urbana-Champaign
Series/Report Name or Number
Library Trends 69 (1). Summer 2020
ISSN
0024-2594
Type of Resource
text
Language
en
Permalink
http://hdl.handle.net/2142/109279
DOI
https://doi.org/10.1353/lib.2020.0024
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