“Big data” driven tech mining and ST&I management: an introduction

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

*此作品的通讯作者

    科研成果: 期刊稿件社论

    3 引用 (Scopus)

    摘要

    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.

    源语言英语
    页(从-至)5227-5231
    页数5
    期刊Scientometrics
    127
    9
    DOI
    出版状态已出版 - 9月 2022

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