期刊文献+

全球科研范式数字化转型趋势研究 被引量:8

Study on the Trend of Digital Transformation of Global Scientific Research Paradigm
下载PDF
导出
摘要 新一代信息技术的发展正不断推动科研范式的数字化转型,为科学发现、知识创新和信息传播提供了新的途径。系统地梳理了科研范式的演变与发展过程,洞察和分析了科研范式数字化转型的最新趋势。研究发现:科研范式的数字化转型主要涉及第四范式(数据密集型科学)和开放科学。第四范式完成了由假设驱动向数据驱动的转变,实现了科研范式的数字化转型;而开放科学则进一步深化了科研范式数字化转型,在议题选定、实验方式、知识共享和公众参与等层面重新定义了科学研究。 The development of a new generation of information technology has promoted the digital transformation of scientific research paradigms, providing new and effective ways for scientific discovery, knowledge innovation and information dissemination. This paper systematically sorted out the evolution and development process of the scientific research paradigm, observed and analyzed the latest trends in the digital transformation of the scientific research paradigm. The study found that the digital transformation of scientific research paradigms mainly involves the Fourth Paradigm(data-intensive science) and Open Science. The Fourth Paradigm has completed the transformation from hypothesis-driven to data-driven, and realized the digital transformation of scientific research paradigm. While Open Science has further deepened the digital transformation of scientific research paradigm in the context of the digital wave. Digitalization is redefining many layers of scientific research, including agenda setting, experimental methods, knowledge sharing and public engagement.
作者 薛菁华 徐慧婷 陈广玉 XUE Jinghua;XU Huiting;CHEN Guangyu(MIRU,Shanghai 200031,China)
机构地区 汇视研究
出处 《竞争情报》 2022年第6期54-63,共10页 Competitive Intelligence
基金 2021年上海市软科学计划资助项目“上海科创数字化转型国内外对标与实施路径研究”(编号:21692110001)的研究成果之一。
关键词 科研范式 数字化转型 数据密集型科学 开放科学 scientific research paradigms digital transformation data-intensive science open science
  • 相关文献

参考文献3

二级参考文献24

  • 1肖大成.二次文献在数字化进程中的生存危机与对策研究[J].图书馆理论与实践,2005(3):47-49. 被引量:13
  • 2HEYT,TANSLEYS,TOLLEk第四范式:数据密集型科学发现[M].潘教峰,张晓林,等,译.北京:科学出版社,2012:197-203.
  • 3梁占平.中国情报学百科全书[M].北京:中国大百科全书出版社,2010.
  • 4History of the DCC[EB/OL].[2016-01-24].http://www.dcc.ac.uk/about-us/history-dcc/history-dcc.
  • 5About ANDS[EB/OL].[2016-01-24].http://www.ands.org.au/about-ands.html.
  • 6What is Data ONE[EB/OL].[2016-01-24].https://www.dataone.org/what-dataone.
  • 7Curation Continuum[EB/OL].[2016-01-24].http://ands.org.au/guides/curation.continuum.html.
  • 8Metadata Store[EB/OL].[2016-01-24].https://www.datacite.org/services/metadata-store.html.
  • 9QIN J,D'LGNAZIO J.Lessons Learned from a Two-Year Experience in Science Data Literacy Education[C/OL].[2016-01-24].http://docs.lib.purdue.edu/cgi/viewcontent.cgiarticle=1009&context=iatul2010.
  • 10王学勤,Amy Stout,Howard Silver.建立数据驱动的e-Science图书馆服务:机遇和挑战[J].图书情报工作,2011,55(13):80-83. 被引量:24

共引文献51

同被引文献103

引证文献8

二级引证文献15

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部