Why this discipline needs its own guide
Background
Basic-science papers tend to have small, deeply collaborative author lists where everyone has had their hands on the data at some point. CRediT in this context distinguishes the conceptual contribution (the hypothesis, the model, the prediction) from the experimental contribution (running the assays, the syntheses, the simulations) and from the analytical contribution (fitting the model, doing the statistics).
The high-impact basic-science journals — Cell, Nature, Science and the discipline-specific Cell Press, Nature Portfolio and Royal Society of Chemistry titles — all accept CRediT statements. Some still print only a narrative paragraph, but the underlying structured metadata is increasingly captured at submission.
Key considerations
How to assign the roles
- Conceptualization in basic science is often where the senior PI’s role concentrates: the idea, the framing, the question. Distinguish from Supervision, which is about ongoing oversight.
- Methodology covers protocol development; Investigation covers running the experiment. Where the methodology is novel and the paper’s contribution is partly methodological, recognise both.
- Computational work in basic science is Software (writing the code) plus Formal Analysis (running it on the data) plus often Methodology (designing the computational approach).
- Reagent generation — plasmids, antibodies, mouse lines, compound libraries — is Resources. When the reagent itself is the contribution of a separate group, cite their preceding paper and name them under Resources.
- Theoretical-only papers are an awkward fit. Treat the derivation as Methodology + Formal Analysis; treat the framing as Conceptualization; treat the writing as Writing – Original Draft.
Reporting Guideline Integration
MDAR to CRediT Crosswalk
Mapping Materials, Design, Analysis, and Reporting to CRediT Roles
The MDAR framework is a unified policy standard for journals to improve reproducibility across basic and translational sciences. This crosswalk aligns MDAR checklist requirements with corresponding CRediT contributor roles.
| Checklist Item / Phase | Mapped CRediT Role(s) | Guidance & Practical Allocation |
|---|---|---|
| MDAR Materials: ReagentsDocumenting cell lines, primary antibodies, and chemical compounds. | ResourcesValidation | Purchasing or providing standard reagents is Resources. Performing validation tests (e.g., western blots to prove antibody specificity) is Validation. |
| MDAR Materials: ModelsCharacterizing model organisms and transgenic strains. | ResourcesInvestigation | Providing, importing, or breeding transgenic mouse lines maps to Resources. Executing the experimental animal assays is Investigation. |
| MDAR Design: ProtocolsDocumenting study protocol registrations on platforms like protocols.io. | MethodologyData Curation | Drafting, refining, and testing the physical assay steps is Methodology. Cataloging and publishing protocols openly maps to Data Curation. |
| MDAR Design: CohortsRecording sample exclusion, allocation, and randomization. | MethodologyInvestigation | Specifying sample size criteria is Methodology. Performing experimental screening and animal allocations belongs under Investigation. |
| MDAR Analysis: ScriptsReleasing custom code, software tools, and analysis repositories. | SoftwareFormal Analysis | Writing code libraries or software maps to Software. Running statistics and computing parameters belongs to Formal Analysis. |
| MDAR Reporting: Data DepositArchiving raw datasets to repositories with DOIs (Dryad, Zenodo). | Data CurationWriting – Original Draft | Cleaning, annotating, and uploading databases belongs to Data Curation. Writing the data-availability sections is Writing – Original Draft. |
Worked example
A representative CRediT statement
Author Contributions (CRediT) A. Costa: Conceptualization, Methodology, Investigation, Formal analysis, Writing – original draft. B. Yilmaz: Investigation, Validation. C. Bauer: Software, Formal analysis, Visualization. D. Schmidt: Resources (provided the plasmid library). E. Hoffmann: Conceptualization, Supervision, Funding acquisition, Writing – review & editing.
The role names above match the canonical wording at casrai.org/credit. Most publishers accept exactly this format.
Further reading
Discipline-specific sources
Common questions
Frequently asked
How do I assign CRediT roles for computational work in basic science?
Computational work in basic science usually spans three roles: Software (writing the code), Formal Analysis (running it on the data), and often Methodology (designing the computational approach). Assign each role that genuinely applies rather than collapsing the work into a single label, so that both the coding and the analytical contributions are recognised.
How is Conceptualization different from Supervision in a basic-science paper?
Conceptualization is the idea, the framing, and the question — often where the senior PI's contribution concentrates in basic science. Supervision is about ongoing oversight and leadership of the work. They are distinct roles: a PI may hold both, but Conceptualization should not be used as a generic stand-in for senior involvement when what is meant is oversight.
