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A Preliminary Analysis of Geography of Collaboration in Data Papers by S&T Capacity Index.

Authors :
Chen, Pei‐Ying
Li, Kai
Jiao, Chenyue
Source :
Proceedings of the Association for Information Science & Technology; Oct2022, Vol. 59 Issue 1, p642-644, 3p
Publication Year :
2022

Abstract

Geography is one of the defining factors in scientific collaboration. Despite the voluminous evidence for how geographical proximity shapes the formation of collaboration in research articles, it has been rarely examined in the emerging genre of data papers, one that describes research data and has enjoyed growing attention in the data‐driven paradigm of research. This poster presents preliminary findings from our project that aims to evaluate the geographical dynamics behind the production of data papers. We analyze how researchers from different countries collaborate with one another using 6,821 data papers published in Scientific Data and Data in Brief between 2014 and 2020. We found that data papers rely heavily upon domestic collaboration and the collaboration pattern largely mirrors that of research articles, although some distinctiveness was also observed. We discuss future work in conclusion, with the ultimate goal of opening a more meaningful conversation about the relationship between the data‐driven paradigm and knowledge production. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23739231
Volume :
59
Issue :
1
Database :
Complementary Index
Journal :
Proceedings of the Association for Information Science & Technology
Publication Type :
Conference
Accession number :
159688795
Full Text :
https://doi.org/10.1002/pra2.676