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“Big data” driven tech mining and ST&I management: an introduction
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 confe...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399567/ https://www.ncbi.nlm.nih.gov/pubmed/36036022 http://dx.doi.org/10.1007/s11192-022-04507-2 |
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author | Huang, Ying Wang, Xuefeng Zhang, Yi Chiavetta, Denise Porter, Alan L. |
author_facet | Huang, Ying Wang, Xuefeng Zhang, Yi Chiavetta, Denise Porter, Alan L. |
author_sort | Huang, Ying |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9399567 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-93995672022-08-24 “Big data” driven tech mining and ST&I management: an introduction Huang, Ying Wang, Xuefeng Zhang, Yi Chiavetta, Denise Porter, Alan L. Scientometrics Article 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. Springer International Publishing 2022-08-24 2022 /pmc/articles/PMC9399567/ /pubmed/36036022 http://dx.doi.org/10.1007/s11192-022-04507-2 Text en © Akadémiai Kiadó, Budapest, Hungary 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Huang, Ying Wang, Xuefeng Zhang, Yi Chiavetta, Denise Porter, Alan L. “Big data” driven tech mining and ST&I management: an introduction |
title | “Big data” driven tech mining and ST&I management: an introduction |
title_full | “Big data” driven tech mining and ST&I management: an introduction |
title_fullStr | “Big data” driven tech mining and ST&I management: an introduction |
title_full_unstemmed | “Big data” driven tech mining and ST&I management: an introduction |
title_short | “Big data” driven tech mining and ST&I management: an introduction |
title_sort | “big data” driven tech mining and st&i management: an introduction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399567/ https://www.ncbi.nlm.nih.gov/pubmed/36036022 http://dx.doi.org/10.1007/s11192-022-04507-2 |
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