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CLOSET: Data-Driven COI Detection and Management in Peer-Review Venues.

Authors :
BHOWMICK, SOURAV S.
Source :
Communications of the ACM. Jul2023, Vol. 66 Issue 7, p70-71. 2p. 1 Color Photograph, 1 Diagram.
Publication Year :
2023

Abstract

This article presents CLOSET, a new data-driven system for the detection and reporting of conflicts of interest (COI) designed and developed at Nanyang Technological University. The article details the need for this system in research publishing, as well as its framework and capabilities, and how CLOSET is currently being used.

Subjects

Subjects :
*CONFLICT of interests
*AUTOMATION
*AUTHORS
*SCHOLARLY peer review
*SCHOLARLY publishing
*CONFERENCES & conventions
*RELATIONAL databases

Details

Language :
English
ISSN :
00010782
Volume :
66
Issue :
7
Database :
Academic Search Index
Journal :
Communications of the ACM
Publication Type :
Periodical
Accession number :
164454623
Full Text :
https://doi.org/10.1145/3589151
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