Dataset for bibliometric data-driven research team formation: Case of Politehnica University of Timisoara scholars for the interval 2010-2022

被引:0
|
作者
Curiac, Christian -Daniel [1 ]
Micea, Mihai [1 ]
Plosca, Traian-Radu [2 ]
Curiac, Daniel-Ioan [2 ]
Doboli, Alex [3 ]
机构
[1] Politehn Univ Timisoara, Comp & Informat Technol Dept, V Parvan 2, Timisoara 300223, Romania
[2] Politehn Univ Timisoara, Automat & Appl Informat Dept, V Parvan 2, Timisoara 300223, Romania
[3] SUNY Stony Brook, Dept Elect & Comp Engn, Stony Brook, NY 11794 USA
来源
DATA IN BRIEF | 2024年 / 53卷
关键词
Bibliometrics; Team formation; Data science; Collaboration;
D O I
10.1016/j.dib.2024.110275
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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. (c) 2024 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
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