Suppr超能文献

“大数据”驱动的技术挖掘与科技情报管理:引言

"Big data" driven tech mining and ST&I management: an introduction.

作者信息

Huang Ying, Wang Xuefeng, Zhang Yi, Chiavetta Denise, Porter Alan L

机构信息

Center for Studies of Information Resources, School of Information Management, Wuhan University, Wuhan, China.

Center for Science, Technology and Education Assessment (CSTEA), Wuhan University, Wuhan, China.

出版信息

Scientometrics. 2022;127(9):5227-5231. doi: 10.1007/s11192-022-04507-2. Epub 2022 Aug 24.

Abstract

Since the first Global Tech Mining (GTM) conference was held in Atlanta in 2011, the GTM conference has created a platform to connect tech mining researchers, exchange ideas and research progress, and promote collaborations. When it came to its 10th anniversary in 2020, COVID-19 forced the GTM conference into an online format. In tumultuous times for ST&I research activity, the GTM conference sought to focus on several issues: How to better collect and combine multiple "large data" sources? How to analyze these data effectively? And how to utilize these results more powerfully in ST&I management? In this collection, 15 papers are selected after evaluating by the science advisory committee, the guest editor team, and our peer review experts to address the following aspects regarding "tech mining": (1) DATA: Maximizing the potential of traditional and novel data; (2) METHODS: Advancing and integrating methods; (3) APPLICATIONS: Innovative analyses translating to usefulintelligence.

摘要

自2011年首届全球技术挖掘(GTM)会议在亚特兰大召开以来,GTM会议搭建了一个平台,供技术挖掘研究人员交流想法和研究进展,并促进合作。到2020年迎来其十周年之际,新冠疫情迫使GTM会议改为线上形式。在科技与创新(ST&I)研究活动的动荡时期,GTM会议力求聚焦几个问题:如何更好地收集和整合多个“大数据”源?如何有效分析这些数据?以及如何在ST&I管理中更有力地利用这些成果?在本论文集中,经过科学顾问委员会、客座编辑团队及同行评审专家评估后,挑选出15篇论文,以探讨关于“技术挖掘”的以下几个方面:(1)数据:最大化传统数据和新型数据的潜力;(2)方法:推进和整合方法;(3)应用:将创新分析转化为有用情报。

相似文献

1
"Big data" driven tech mining and ST&I management: an introduction.“大数据”驱动的技术挖掘与科技情报管理:引言
Scientometrics. 2022;127(9):5227-5231. doi: 10.1007/s11192-022-04507-2. Epub 2022 Aug 24.
2
Tech mining: a revisit and navigation.技术挖掘:重新审视与导航
Front Res Metr Anal. 2024 Apr 29;9:1364053. doi: 10.3389/frma.2024.1364053. eCollection 2024.
5
Data, Big Tech, and the New Concept of Sovereignty.数据、科技巨头与主权新概念。
J Chin Polit Sci. 2023 May 3:1-22. doi: 10.1007/s11366-023-09855-1.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验