Some articles are easy: one researcher did all the analysis and wrote all the words. But some articles are complex: some papers in science and medicine have 50+ authors. Sometimes other individuals contribute to research in a particular way other than writing the manuscript.
So how do you decide who gets listed in the byline under the article's title??
The primary standard for defining authorship in scientific publishing comes from the International Committee of Medical Journal Editors (ICMJE). They state that authors must have made significant contributions to study ideation and/or design. Their criteria for authorship include:
The following people should NOT be listed as authors in the byline, but may be acknowledged separately.
Instances of exaggerated or disregarded authorship are not acceptable. This may include:
The guidelines linked below also provide direction on group authorship and addressing authorship by deceased or incapacitated authors (see section 2.2.2).
Can I list an A.I. Program As a Co-Author?
Following the emergence of generative AI programs such as ChatGPT, several publishers have implemented new guidelines prohibiting AI programs as co-authors and requesting transparent reporting of when generative AI is used in a study.
For more details, refer to the SHSU library presentation shared below (recording will start at 32:29, and the slideshow begins at slide 27, to highlight the discussion of publisher policies).
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License -- meaning you are free to share and adapt this work for non-commercial purposes as long as you give credit to the original creator and share your adapted work under this same license (without greater copyright restrictions).
The significance of an author's name appearing first, last, or in any particular position varies between disciplines.
In many cases, a position as first author indicates the primary contributor to the work. Other authors are listed in order of the significance of their contributions, from those most involved to those who provided study oversight.
Ultimately, it is up to the scholars conducting the work to determine who receives credit and in what order.
Collaborators are encouraged to discuss this issue at the beginning of a project, in order to avoid conflict later on.
Defining how both authors and non-authors contributed allows us to give credit and also avoid any confusion about what the order of authors' names might mean.
One useful tool for explaining the roles of all contributors is the Contributor Roles Taxonomy, or CRediT (managed by NISO).
CRediT defines 14 roles typically played by contributors to research outputs. A Contribution statement can be included in a paper (often just before the reference list) to associate each contributor's name with the roles they played.
Below are two examples of a Contribution statement using CRediT, borrowed from the website of the journal Evidence Based Library and Information Practice.
Example 1
Zhang Lee: Conceptualization, Methodology, Software Aditi Singh: Data curation, Writing - original draft Neeru Acharya: Visualization, Investigation Noel Jenson: Supervision Vijay Kumar: Software, Validation Caryn Dillon: Writing - review & editing
Example 2 (illustrating optional degrees of contribution)
Pierro Correia: Writing - review & editing (equal) Anna Berkowitz: Conceptualization (lead), Writing - original draft (lead), Formal analysis (lead), Writing - review & editing (equal) Yolanda Roberto: Software (lead), Writing - review & editing (equal) Takaaki Yamada: Methodology (lead), Writing - review & editing (equal) Qian Wu: Conceptualization (supporting), Writing - original draft (supporting), Writing - review & editing (equal)
This contribution statement can appear in the paper, often just before the references list. Note that individual journals who have formally adopted CRediT may require alternate formatting of the statement or may need it to be entered in a more structured way as part of their manuscript submission process.
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