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

Curiac, Christian-Daniel; Micea, Mihai; Plosca, Traian-Radu; Curiac, Daniel-Ioan; Doboli, Alex

doi:10.1016/j.dib.2024.110275

Data in Brief

2024

DOI: 10.1016/j.dib.2024.110275

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

Christian-Daniel Curiac,

Mihai Micea,

Traian-Radu Plosca

et al.

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2024

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Automating Research Problem Framing and Exploration through Knowledge Extraction from Bibliometric Data

Curiac,

Micea,

Plosca

et al. 2024

Bibliometrics - An Essential Methodological Tool for Research Projects

Self Cite

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The steep rate at which the number of research outputs has been growing (e.g., books, journal articles, conference proceedings, patents, and other work in digital format) produces not only many intriguing opportunities but also significant challenges. Efficiently managing the research outputs in various very large digital databases has become much more difficult and error-prone than before. It is hard to precisely track all published documents in a way that is usable by humans to frame and explore new research problems. Methodologies and software tools are necessary to automate the time and resource-consuming activities in research. This chapter overviews the existing work and envisioned opportunities to automate the analysis of the research outputs available in digital databases to maximize the research quality and impact. A novel system architecture is also suggested to support research problem framing and exploration. The architecture includes smart recommender modules that also address other research activities, like researcher and institution assessment, bibliography recommendation, and research team formation.

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Automating Research Problem Framing and Exploration through Knowledge Extraction from Bibliometric Data

Curiac,

Micea,

Plosca

et al. 2024

Bibliometrics - An Essential Methodological Tool for Research Projects

Self Cite

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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

Cited by 1 publication

References 5 publications

Automating Research Problem Framing and Exploration through Knowledge Extraction from Bibliometric Data

Automating Research Problem Framing and Exploration through Knowledge Extraction from Bibliometric Data

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