z-logo
open-access-imgOpen Access
Development of a decision-support tool to quantify authorship contributions in clinical trial publications
Author(s) -
Sam T. Mathew,
Habeeb Ibrahim Abdul Razack,
Prasanth Viswanathan
Publication year - 2022
Publication title -
science editing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.354
H-Index - 11
eISSN - 2288-8063
pISSN - 2288-7474
DOI - 10.6087/kcse.259
Subject(s) - likert scale , computer science , scale (ratio) , microsoft excel , medical journal , macro , data mining , information retrieval , medical physics , data science , statistics , medicine , mathematics , library science , physics , quantum mechanics , programming language , operating system
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom