Dataset for bibliometric data-driven research team formation: Case of Politehnica University of Timisoara scholars for the interval 2010–2022
Data-driven expert team formation is a complicated and multifaceted process that requires access to accurate information to identify researchers’ areas and level of expertise and their collaborative prospects. In this respect, bibliometric data represents a valuable and reliable source of informatio...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-04-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924002440 |
| _version_ | 1827313668930404352 |
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| author | Christian-Daniel Curiac Mihai Micea Traian-Radu Plosca Daniel-Ioan Curiac Alex Doboli |
| author_facet | Christian-Daniel Curiac Mihai Micea Traian-Radu Plosca Daniel-Ioan Curiac Alex Doboli |
| author_sort | Christian-Daniel Curiac |
| collection | DOAJ |
| description | Data-driven expert team formation is a complicated and multifaceted process that requires access to accurate information to identify researchers’ areas and level of expertise and their collaborative prospects. In this respect, bibliometric data represents a valuable and reliable source of information that can be effectively employed in revealing key insights regarding candidates. Due to its complex and complete structure of publication metadata records, IEEE Xplore database may offer the possibility to compute an extensive set of indicators about researchers’ publication production and how they have interacted during time. Considering the case of Politehnica University of Timisoara scholars for the interval 2010–2022, current dataset encapsulates relevant and rich information for assembling multidisciplinary research teams, being also a testing ground for experimenting and calibrating the expert team formation methods and mechanisms. |
| first_indexed | 2024-03-07T14:01:09Z |
| format | Article |
| id | doaj.art-7236a362d3d2475bba9382ae2a763d38 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-24T22:20:21Z |
| publishDate | 2024-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-7236a362d3d2475bba9382ae2a763d382024-03-20T06:10:18ZengElsevierData in Brief2352-34092024-04-0153110275Dataset for bibliometric data-driven research team formation: Case of Politehnica University of Timisoara scholars for the interval 2010–2022Christian-Daniel Curiac0Mihai Micea1Traian-Radu Plosca2Daniel-Ioan Curiac3Alex Doboli4Computer and Information Technology Department, Politehnica University of Timisoara, V. Parvan 2, 300223 Timisoara, RomaniaComputer and Information Technology Department, Politehnica University of Timisoara, V. Parvan 2, 300223 Timisoara, RomaniaAutomation and Applied Informatics Department, Politehnica University of Timisoara, V. Parvan 2, 300223 Timisoara, RomaniaAutomation and Applied Informatics Department, Politehnica University of Timisoara, V. Parvan 2, 300223 Timisoara, Romania; Corresponding author.Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY 11794-2350, USAData-driven expert team formation is a complicated and multifaceted process that requires access to accurate information to identify researchers’ areas and level of expertise and their collaborative prospects. In this respect, bibliometric data represents a valuable and reliable source of information that can be effectively employed in revealing key insights regarding candidates. Due to its complex and complete structure of publication metadata records, IEEE Xplore database may offer the possibility to compute an extensive set of indicators about researchers’ publication production and how they have interacted during time. Considering the case of Politehnica University of Timisoara scholars for the interval 2010–2022, current dataset encapsulates relevant and rich information for assembling multidisciplinary research teams, being also a testing ground for experimenting and calibrating the expert team formation methods and mechanisms.http://www.sciencedirect.com/science/article/pii/S2352340924002440BibliometricsTeam formationData scienceCollaboration |
| spellingShingle | Christian-Daniel Curiac Mihai Micea Traian-Radu Plosca Daniel-Ioan Curiac Alex Doboli Dataset for bibliometric data-driven research team formation: Case of Politehnica University of Timisoara scholars for the interval 2010–2022 Data in Brief Bibliometrics Team formation Data science Collaboration |
| title | Dataset for bibliometric data-driven research team formation: Case of Politehnica University of Timisoara scholars for the interval 2010–2022 |
| title_full | Dataset for bibliometric data-driven research team formation: Case of Politehnica University of Timisoara scholars for the interval 2010–2022 |
| title_fullStr | Dataset for bibliometric data-driven research team formation: Case of Politehnica University of Timisoara scholars for the interval 2010–2022 |
| title_full_unstemmed | Dataset for bibliometric data-driven research team formation: Case of Politehnica University of Timisoara scholars for the interval 2010–2022 |
| title_short | Dataset for bibliometric data-driven research team formation: Case of Politehnica University of Timisoara scholars for the interval 2010–2022 |
| title_sort | dataset for bibliometric data driven research team formation case of politehnica university of timisoara scholars for the interval 2010 2022 |
| topic | Bibliometrics Team formation Data science Collaboration |
| url | http://www.sciencedirect.com/science/article/pii/S2352340924002440 |
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