SAFE Labs

Starting Aware Fair & Equitable Labs

I commit to publicly document which contributions constitute authorship on a scientific paper

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This page collects real-world examples from labs around the world. We encourage all labs implementing the SAFE Labs Handbook to share their own commitments/statements here.

France

GalupaLab_2025: Please find important information about publishing (including authorships, open science policies, choice of journals) in the Lab Guide: Galupa_lab_guide_shared.

Germany

OttLab_2025: Authorship vs acknowledgement is not always obvious in advance, but typically all contributors to a paper are included as authors, where contribution is broadly defined by CRediT Taxonomy (https://credit.niso.org/). For example, developing a new technique for a project, or contributing previously unpublished data/figures would constitute authorship. Conversely, routine experimental work, sharing basic analysis code, or proof-reading a paper would not constitute authorship. Authorship is ultimately decided in discussions between the PI, project lead(s), and any other potential authors. Although the scientific process is unpredictable, authorship will be discussed when a lab member begins, or becomes involved with, a project. Whenever possible, we publish a matrix of contributions at the end of each paper.

Italy

ReinhardLab_2025: It is impossible to do modern neuroscience alone. Techniques are too difficult, algorithms too complicated for one person to be able to do everything. In our lab, PhDs and postdocs will have their main project, but everyone will be involved in at least one additional project by contributing specific expertise. Hence, papers with only 2 authors (First + PI) will be impossible or at least extremely rare. We also don’t believe in authorship gatekeeping or that papers are worth less if there are more authors. The following steps are taken for transparent authorships:

We generally follow the CRediT Taxonomy guidelines of what authorship constitutes. For example, developing a new technique for a project, or contributing previously unpublished data/figures would constitute authorship. Conversely, routine experimental work, sharing basic analysis code, or proof-reading a paper would not constitute authorship.

Authorship will be discussed with all involved researchers whenever a person starts contributing to a new project or a new collaboration is established.

Netherlands

INSIGHTLab_2026: Be comprehensive and generous in crediting contributions. Nothing is lost by giving people fair credit. For published work, report each author’s contribution according to the CRediT taxonomy. When planning the work, fill out a CRediT taxonomy to define intended roles at the start. If project roles and levels of contribution change, update the CRediT taxonomy accordingly. Before publishing a version of the manuscript, check that all authors recognize the CRediT taxonomy as accurate representation of the work done.

UraiLab_2026: Scientific autorship is a tricky business. I aim to discuss authorship early on, clarify expectations, and give regular updates when a project changes. If you are unsure about authorship, please let me know asap.

I aim to have an honest authorship discussion at the moment a project looks like it might become a paper. Early on, we will try to settle on an initial authorship order that everybody is happy with, and clarify the expectations of everyone in the group. When the work changes, new people come on board or someone leaves, we should discuss again. Ideally, we discuss authorship expectations at every 6-month review meeting.

Whatever authorship scheme we settle on, I encourage using the Credit scheme with additional detail to keep track of everybody’s contributions.

United Kingdom

CoenLab_2025: Authorship vs acknowledgement is not always clear for a publication, but typically all contributors to a paper are included as authors, where contribution is broadly defined by CRediT Taxonomy. For example, developing a new technique for a project, or contributing previously unpublished data/figures would constitute authorship. Conversely, routine experimental work, sharing basic analysis code, or proof-reading a paper would not constitute authorship. Authorship is ultimately decided in discussions between the group leader, project lead(s), and any other potential authors. Although the scientific process is unpredictable, authorship will be discussed when a lab member begins, or becomes involved with, a project. Whenever possible, we publish a matrix of contributions at the end of each paper.

SuperLab_2026: According to the criteria recommended by the International Committee of Medical Journal Editors (ICMJE), to qualify for authorship, individuals must meet all the following conditions:

  • Substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data;
  • Drafting the work or revising it critically for important intellectual content;
  • Final approval of the version to be published; and
  • Agreement to be accountable for all aspects of the work and to ensure that questions related to the accuracy or integrity of any part are appropriately investigated and resolved.

The order of authors should reflect the relative contributions of each individual to the work. The order should be agreed upon before manuscript writing, but it is subject to change (slightly) as peer review progresses.

The first author is typically the person who contributed the most to the project and writing. In cases of equal contribution, the default is co-first authorship.

The last author is usually the lead supervisor who secured funding and oversaw the research. Exceptions can be discussed and agreed upon.

The Superlab is committed to mentoring and recognizing the contributions of students and trainees. When students make substantial contributions to a project, they will be offered authorship and mentorship on writing and publishing.

United States

AeryJonesLab_2026: We follow ICMJE authorship guidelines. Authorship is granted when the paper could not have happened without their contribution. This could be a substantial intellectual, data collection, analysis, or data sharing contribution. All authors are expected to contribute to manuscript writing, editing, and journal revisions.