Author Contribution in Manuscript Creation: Description and Announcement

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Abstract

Introduction: The topic of publication ethics is increasingly important in scientific discussions, especially the issues of accurate and honest representation of author contributions in the creation of scientific articles.Description of the CREDIT System: The contribution to authorship of an article is determined not only by participation in writing the text but also by the overall contribution of the participant in conducting the research itself. The CREDIT authorship model allows for precise tracking of each participant's contribution to the research project, describing various author roles, some of which may be independent, while others complement more significant roles.Conclusion: Detailed coverage of the CREDIT taxonomy and the procedure for documenting author contribution enhances the transparency of scientific communication.

About the authors

Anastasia Evgenievna Ryabova

All-Russian Dairy Research Institute

Author for correspondence.
Email: a_ryabova@vnimi.org
ORCID iD: 0000-0002-5712-2020
SPIN-code: 8425-8422

References

  1. Косычева М.А. Система CRediT для описания авторского вклада. Health, Food & Biotechnology. 2023;5(1). https://doi.org/10.36107/hfb.2023.i5.s169
  2. Allen, L., O’Connell, A., & Kiermer, V. (2019). How can we ensure visibility and diversity in research contributions? How the Contributor Role Taxonomy (CRediT) is helping the shift from authorship to contributorship. Learned Publishing, 32, 71–74. https://doi.org/10.1002/leap.1210
  3. Allen, L., Scott, J., Brand, A., Hlava, M., & Altman, M. (2014). Publishing: Credit where credit is due. Nature, 508, 312–313. https://doi.org/10.1038/508312a

Supplementary files

Supplementary Files
Action
1. JATS XML

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).