ThinkWithPrompt by SynotticThinkWithPrompt

Agree on authorship and contributions before a collaboration

Drafts a fair authorship and contribution agreement using recognized criteria, to prevent disputes on collaborative papers.

Projects & OperationsFew-ShotStandardResearchWriteFill-in Template

The prompt

Help me set up an authorship and contribution agreement for a collaborative research project. Project and planned outputs: [e.g. "2 papers and a dataset"] Collaborators and expected roles: [NAMES or roles, career stage, institutions] Field norms: [e.g. "first and last author matter", "alphabetical order", "large consortium"] Journal or institutional policy: [e.g. "ICMJE criteria", or "unknown"] Known sensitivities: [e.g. "a student and a postdoc both want first author", "data provider expects authorship"] Draft: 1. The authorship criteria we will use (e.g. ICMJE or field equivalent), explained in plain terms, and who qualifies for acknowledgment instead. 2. A contributions table using the CRediT taxonomy (conceptualization, methodology, software, formal analysis, investigation, data curation, writing - original draft, review and editing, supervision, funding acquisition, etc.) with each person's expected role and level. 3. Proposed author order for each output, with the reasoning. 4. Rules for change: what happens if contributions shift, someone leaves, or new people join, and when we revisit (e.g. at each draft milestone). 5. A dispute process, including who to involve (e.g. research integrity office). Return the agreement as a 1-2 page document plus a short, friendly email to propose it to collaborators. Note that institutional policies take precedence and should be checked.

Highlighted [brackets] are blanks to replace with your own details.

Fill in the blanks and use this promptMore Projects & Operations prompts

What to fill in

  • e.g. "2 papers and a dataset"
  • NAMES or roles, career stage, institutions
  • e.g. "ICMJE criteria", or "unknown"

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

Related prompts

Find more prompts like this