Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Editorial
. 2022;127(9):5227-5231.
doi: 10.1007/s11192-022-04507-2. Epub 2022 Aug 24.

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

Ying Huang  1   2   3 , Xuefeng Wang  4 , Yi Zhang  5 , Denise Chiavetta  6 , Alan L Porter  6   7
Affiliations
Editorial

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

Ying Huang et al. Scientometrics. 2022.

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.

Keywords: Competitive Technical Intelligence; GTM; Intelligent Bibliometrics; Science, Technology & Innovation; Tech Mining.

PubMed Disclaimer

References

    1. Porter AL. How "tech mining" can enhance R&D management. Research-Technology Management. 2007;50(2):15–20. doi: 10.1080/08956308.2007.11657425. - DOI
    1. Porter AL, Cunningham SW. Tech mining: Exploiting new technologies for competitive advantage. Wiley; 2004.
    1. Zhang Y, Porter AL, Chiavetta D. Scientometrics for tech mining: An introduction. Scientometrics. 2017;111(3):1875–1878. doi: 10.1007/s11192-017-2344-8. - DOI
    1. Zhang Y, Porter AL, Chiavetta D, Newman NC, Guo Y. Forecasting technical emergence: An introduction. Technological Forecasting and Social Change. 2019;146:626–627. doi: 10.1016/j.techfore.2018.12.025. - DOI
    1. Zhang Y, Porter AL, Cunningham S, Chiavetta D, Newman N. Parallel or intersecting lines? Intelligent bibliometrics for investigating the involvement of data science in policy analysis. IEEE Transactions on Engineering Management. 2020;68(5):1259–1271. doi: 10.1109/TEM.2020.2974761. - DOI

Publication types

LinkOut - more resources