Introduction to the Contributor Roles Taxonomy (CRediT)
The traditional model of academic authorship—which ranks researchers in a linear sequence (first author, co-author, corresponding author)—fails to reflect the multi-faceted reality of modern scientific collaboration. Large-scale research requires specialized roles, including software development, data curation, project administration, and hardware calibration. To provide granular, machine-readable attribution, CASRAI pioneered and NISO standardized the CRediT Taxonomy (Contributor Roles Taxonomy), consisting of 14 distinct roles.
This practical guide outlines how journals, research libraries, and university administrators can implement the CRediT Taxonomy to build transparent, equitable, and modern evaluation systems.
The 14 CRediT Roles and Definitions
To ensure high data quality, all stakeholders must understand and apply the 14 standardized roles consistently:
| CRediT Contributor Role | Official Definition and Scope |
|---|---|
| Conceptualization | Ideas; formulation or evolution of overarching research goals and aims. |
| Data Curation | Management activities to annotate, scrub data and maintain research data. |
| Formal Analysis | Application of statistical, mathematical, computational, or other formal techniques to analyze study data. |
| Funding Acquisition | Acquisition of the financial support for the project leading to this publication. |
| Investigation | Conducting a research and investigation process, specifically performing the experiments, or data/evidence collection. |
| Methodology | Development or design of methodology; creation of models. |
| Project Administration | Management and coordination responsibility for the research activity planning and execution. |
| Resources | Provision of study materials, reagents, materials, patients, laboratory samples, animals, instrumentation, computing resources, or other analysis tools. |
| Software | Programming, software development; designing computer programs; implementing the computer code and supporting algorithms. |
| Supervision | Oversight and leadership responsibility for the research activity planning and execution, including mentorship external to the core team. |
| Validation | Verification, whether as a part of the activity or separate, of the overall replication/reproducibility of results/experiments. |
| Visualization | Preparation, creation and/or presentation of the published work, specifically data visualization/presentation. |
| Writing – Original Draft | Preparation, creation and/or presentation of the published work, specifically writing the initial draft. |
| Writing – Review & Editing | Preparation, creation and/or presentation of the published work by those from the original research group, specifically critical review, commentary or revision. |
Implementation Roadmap for Journals and Publishers
For scholarly journals, capturing contributor roles during submission requires minor changes to editorial management software (e.g., Editorial Manager, ScholarOne, OJS):
- Mandate at Submission: Require the corresponding author to assign one or more of the 14 CRediT roles to every listed author during the metadata entry phase. Authors can have multiple roles, and multiple authors can share the same role.
- Integrate XML Metadata: Export the selected roles in the JATS XML format using the
<contrib-group>tag attributes. This ensures indexers like PubMed, Crossref, and Scopus can harvest and display the contributor data programmatically. - Visible Authorship Statements: Render a clear, dedicated ‘Author Contributions’ section at the end of every PDF and HTML article layout, translating the XML metadata into human-readable text.
The Role of Libraries and Administrators
University libraries and research administrators can leverage CRediT metadata to drive fairer evaluation and protect research security:
Improving Evaluation and Hiring
By mapping CRediT data to university CRIS systems, promotion committees can look beyond traditional citation counts. For example, hiring committees can identify highly skilled research programmers or biostatisticians whose names appear in the middle of authorship lists but who executed 100% of the ‘Software’ and ‘Formal Analysis’ work.
Strengthening Research Security
With frameworks like NSPM-33 demanding complete transparency, CRediT profiles provide verified documentation of who funded, designed, and executed specific portions of international research collaborations, reducing risk and simplifying institutional audits.
Conclusion: Modernizing Scholarly Collaboration
The global adoption of the CRediT Taxonomy represents a vital step toward open, equitable, and transparent scholarship. By providing clear pathways for attribution, publishers and institutions can celebrate the diverse contributions of every research team member, incentivize reproducible science, and build a more robust, searchable historical record of scientific discovery.
