Development of a decision-support tool to quantify authorship contributions in clinical trial publications

Purpose This study aimed to develop a decision-support tool to quantitatively determine authorship in clinical trial publications. Methods The tool was developed in three phases: consolidation of authorship recommendations from the Good Publication Practice (GPP) and International Committee of Medic...

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Main Authors: Sam T. Mathew, Habeeb Ibrahim Abdul Razack, Prasanth Viswanathan
Format: Article
Language:English
Published: Korean Council of Science Editors 2022-02-01
Series:Science Editing
Subjects:
Online Access:http://www.escienceediting.org/upload/kcse-259.pdf
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author Sam T. Mathew
Habeeb Ibrahim Abdul Razack
Prasanth Viswanathan
author_facet Sam T. Mathew
Habeeb Ibrahim Abdul Razack
Prasanth Viswanathan
author_sort Sam T. Mathew
collection DOAJ
description Purpose This study aimed to develop a decision-support tool to quantitatively determine authorship in clinical trial publications. Methods The tool was developed in three phases: consolidation of authorship recommendations from the Good Publication Practice (GPP) and International Committee of Medical Journal Editors (ICMJE) guidelines, identifying and scoring attributes using a 5-point Likert scale or a dichotomous scale, and soliciting feedback from editors and researchers. Results The authorship criteria stipulated by the ICMJE and GPP recommendations were categorized into 2 Modules. Criterion 1 and the related GPP recommendations formed Module 1 (sub-criteria: contribution to design, data generation, and interpretation), while Module 2 was based on criteria 2 to 4 and the related GPP recommendations (sub-criteria: contribution to manuscript preparation and approval). The two modules with relevant sub-criteria were then differentiated into attributes (n = 17 in Module 1, n = 12 in Module 2). An individual contributor can be scored for each sub-criterion by summing the related attribute values; the sum of sub-criteria scores constituted the module score (Module 1 score: 70 [contribution to conception or design of the study, 20; data acquisition, 7; data analysis, 27; interpretation of data, 16]; Module 2 score: 50 [content development, 27; content review, 18; accountability, 5]). The concept was integrated into Microsoft Excel with adequate formulae and macros. A threshold of 50% for each sub-criterion and each module, with an overall score of 65%, is predefined as qualifying for authorship. Conclusion This authorship decision-support tool would be helpful for clinical trial sponsors to assess and provide authorship to deserving contributors.
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spelling doaj.art-e14bf937727544e2a32e1aa051f95e2e2023-03-06T01:50:08ZengKorean Council of Science EditorsScience Editing2288-80632288-74742022-02-0191222910.6087/kcse.259265Development of a decision-support tool to quantify authorship contributions in clinical trial publicationsSam T. Mathew0Habeeb Ibrahim Abdul Razack1Prasanth Viswanathan2 Researcher and Medical Communications Expert, Bengaluru, Karnataka, India Faculty of Medicine & Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia Mount Zion College of Pharmaceutical Sciences & Research, Adoor, Kerala, IndiaPurpose This study aimed to develop a decision-support tool to quantitatively determine authorship in clinical trial publications. Methods The tool was developed in three phases: consolidation of authorship recommendations from the Good Publication Practice (GPP) and International Committee of Medical Journal Editors (ICMJE) guidelines, identifying and scoring attributes using a 5-point Likert scale or a dichotomous scale, and soliciting feedback from editors and researchers. Results The authorship criteria stipulated by the ICMJE and GPP recommendations were categorized into 2 Modules. Criterion 1 and the related GPP recommendations formed Module 1 (sub-criteria: contribution to design, data generation, and interpretation), while Module 2 was based on criteria 2 to 4 and the related GPP recommendations (sub-criteria: contribution to manuscript preparation and approval). The two modules with relevant sub-criteria were then differentiated into attributes (n = 17 in Module 1, n = 12 in Module 2). An individual contributor can be scored for each sub-criterion by summing the related attribute values; the sum of sub-criteria scores constituted the module score (Module 1 score: 70 [contribution to conception or design of the study, 20; data acquisition, 7; data analysis, 27; interpretation of data, 16]; Module 2 score: 50 [content development, 27; content review, 18; accountability, 5]). The concept was integrated into Microsoft Excel with adequate formulae and macros. A threshold of 50% for each sub-criterion and each module, with an overall score of 65%, is predefined as qualifying for authorship. Conclusion This authorship decision-support tool would be helpful for clinical trial sponsors to assess and provide authorship to deserving contributors.http://www.escienceediting.org/upload/kcse-259.pdfauthorship criteriainternational committee of medical journal editorsgood publication practicedichotomous scaleclinical trial publications
spellingShingle Sam T. Mathew
Habeeb Ibrahim Abdul Razack
Prasanth Viswanathan
Development of a decision-support tool to quantify authorship contributions in clinical trial publications
Science Editing
authorship criteria
international committee of medical journal editors
good publication practice
dichotomous scale
clinical trial publications
title Development of a decision-support tool to quantify authorship contributions in clinical trial publications
title_full Development of a decision-support tool to quantify authorship contributions in clinical trial publications
title_fullStr Development of a decision-support tool to quantify authorship contributions in clinical trial publications
title_full_unstemmed Development of a decision-support tool to quantify authorship contributions in clinical trial publications
title_short Development of a decision-support tool to quantify authorship contributions in clinical trial publications
title_sort development of a decision support tool to quantify authorship contributions in clinical trial publications
topic authorship criteria
international committee of medical journal editors
good publication practice
dichotomous scale
clinical trial publications
url http://www.escienceediting.org/upload/kcse-259.pdf
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AT habeebibrahimabdulrazack developmentofadecisionsupporttooltoquantifyauthorshipcontributionsinclinicaltrialpublications
AT prasanthviswanathan developmentofadecisionsupporttooltoquantifyauthorshipcontributionsinclinicaltrialpublications