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我国科研数据开放共享政策供需匹配研究

范昊 郑小川 热孜亚·艾海提

信息资源管理学报2023,Vol.13Issue(6):156-165,10.
信息资源管理学报2023,Vol.13Issue(6):156-165,10.DOI:10.13365/j.jirm.2023.06.156

我国科研数据开放共享政策供需匹配研究

Research on the Match between Chinese Research Data Open Sharing Policy Sup-ply and User Demand

范昊 1郑小川 1热孜亚·艾海提2

作者信息

  • 1. 武汉大学信息管理学院,武汉,430072
  • 2. 新疆财经大学信息管理学院,乌鲁木齐,830012
  • 折叠

摘要

Abstract

Understanding the supply-demand matching of policy on openness and sharing of scientific re-search data is significant important for the optimization and adjustment of policies.On the basis of clarifying the supply and demand entities and their functional relationships,we constructed a matching indicator system consisting of 5 first level dimensions and 17 second level dimensions;The content analysis method is used to code 61 policy texts to obtain the matching order value of the supply side;The questionnaire survey method is used to conduct an empirical survey on user needs to obtain the matching order value of the demand side;Finally,the supply and demand matching is analyzed from two aspects of content matching and environment matching.At present,the overall supply and demand matching of China's open sharing policy for scientific research data is good,but the matching degree of data availability,hierarchical classification,infrastructure construction,platform service capacity,and evaluation mechanism is relatively low.Among them,the de-mand for data availability and platform service capacity is large but the supply is insufficient.The hierarchi-cal classification,platform infrastructure construction,and evaluation mechanism all show a feature of over-supply,reflecting the imbalance between supply and demand,such as policy weaknesses and oversupply caused by insufficient understanding or weak motivation of research subjects.

关键词

政策供需匹配/数据开放共享/科研数据/政策计量/内容分析

Key words

Policy supply and demand matching/Data openness and sharing/Research data/Policio-metrics/Content analysis

分类

社会科学

引用本文复制引用

范昊,郑小川,热孜亚·艾海提..我国科研数据开放共享政策供需匹配研究[J].信息资源管理学报,2023,13(6):156-165,10.

基金项目

本文系国家自然科学基金面上项目"基于科学共同体知识大图的隐性合作关系发现与深度挖掘"(72074172)研究成果之一. (72074172)

信息资源管理学报

OACHSSCDCSSCI

2095-2171

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