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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Format: | Article |
Language: | English |
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Korean Council of Science Editors
2022-02-01
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Series: | Science Editing |
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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. |
first_indexed | 2024-04-10T05:46:55Z |
format | Article |
id | doaj.art-e14bf937727544e2a32e1aa051f95e2e |
institution | Directory Open Access Journal |
issn | 2288-8063 2288-7474 |
language | English |
last_indexed | 2024-04-10T05:46:55Z |
publishDate | 2022-02-01 |
publisher | Korean Council of Science Editors |
record_format | Article |
series | Science Editing |
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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