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Impact of Inter-Community Collaboration in Large-scale Research Infrastructures on Scientific Performance

Year: 2024

Type: conference-paper

Abstract: In the context of Large-scale Research Infrastructures (LSRIs), based on the publication data collected from five world-leading Synchrotron light sources, this study discovers that inter-community collaboration can improve academic teams’ scientific performance. Specifically, LSRIs’ staff scientists participating in users’ teams assist in outputting more disruptive and novel scientific knowledge. However, as user-oriented facilities, the participation of staff is still at an underrepresented status. Therefore, more actions to construct collaborative relationships and encourage scientific communication and interactions between users and staff should be carried out in future research in LSRIs.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14028146

Authors: LI, Zexia, ZHANG, Mingze, WANG, Lili

Institutions: Chinese Academy of Sciences, National Science Library, University of Chinese Academy of Sciences, United Nations University – Maastricht Economic and Social Research Institute on Innovation and Technology, Maastricht University

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funder: National Office for Philosophy and Social Sciences

OpenAlex ID: W6930425116

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