figshare
Browse

Conflict of Interest: A data driven approach to categorisation of COI statements.

Published on by Pritha Sarkar

Properly declaring conflicts of Interest (COI) is essential to assessing potential bias in scholarly articles. Authors have an ethical obligation to transparently disclose their involvement in research to avoid misleading COI statements. This study presents a comprehensive analysis to identify and categorise how authors declare their conflicts of interest in academic articles.

Furthermore, the Retraction Watch data is used in tandem with the findings from above research to analyse the correlation between reported COI statements and the reason of retraction being COI.

Cite items from this project

DataCite
3 Biotech
3D Printing in Medicine
3D Research
3D-Printed Materials and Systems
4OR
AAPG Bulletin
AAPS Open
AAPS PharmSciTech
Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg
ABI Technik (German)
Academic Medicine
Academic Pediatrics
Academic Psychiatry
Academic Questions
Academy of Management Discoveries
Academy of Management Journal
Academy of Management Learning and Education
Academy of Management Perspectives
Academy of Management Proceedings
Academy of Management Review

cite all items

Share

email