The CRediT contribution taxonomy is a 14-role vocabulary built at a 2012 biomedical-sciences workshop, and three of its roles — Investigation, Software and Resources — describe laboratory research so specifically that they routinely fail to capture what happens in archival, ethnographic or purely theoretical scholarship. That mismatch is a design artefact of CRediT’s origin, not a flaw researchers should paper over by force-fitting their work into the nearest lab-shaped box.
The credit contribution taxonomy is best understood as a controlled vocabulary of contributor roles, not a universal grammar of scholarly labour. CASRAI originated the CRediT contributor role taxonomy in 2014; the standard is now stewarded by NISO as ANSI/NISO Z39.104-2022. Understanding where that STEM-derived vocabulary strains against humanities and social science (HSS) practice helps journals, university presses and research offices apply it honestly rather than awkwardly.
CRediT is a controlled, 14-role vocabulary for describing individual contributions to a research output, developed to replace ambiguous author-order conventions with discrete, attributable roles.
- What is the CRediT taxonomy and where did it come from?
- Which CRediT roles map poorly onto humanities and social science work?
- What does the evidence say about CRediT outside STEM?
- How can journals and institutions adapt CRediT for HSS scholarship?
- Answer-first Q&A on CRediT and contributor roles
- Implications for research administrators and publishers
What is the CRediT taxonomy and where did it come from?
CRediT emerged from a 2012 workshop convened by the Wellcome Trust and Harvard University, bringing together biomedical scientists, publishers and funders to fix a specific problem: author-order lists that concealed who actually did what on a laboratory paper. CASRAI took over stewardship in 2014 and formalised the 14-role vocabulary in 2015.
In 2022, CRediT was formally adopted as ANSI/NISO Z39.104-2022, with machine-readable metadata built for JATS XML manuscript pipelines. The roles were never designed with archival, ethnographic or purely theoretical research workflows in the room — a gap that was structural from the outset, not an oversight that later revisions quietly fixed.
Which CRediT roles map poorly onto humanities and social science work?
Three roles carry the clearest fingerprints of their laboratory origin. Each assumes a mode of working — bench experiments, code, physical materials — that has no direct equivalent in much archival, ethnographic or theoretical scholarship.
- Investigation is defined as “performing the experiments, or data/evidence collection” — language built for wet-lab or fieldwork protocols. An archival historian spending eighteen months in a single repository, or a philosopher building an argument from primary texts, is doing investigative labour that this wording does not naturally describe.
- Software assumes programming and code as a discrete, separable contribution. Much qualitative and theoretical scholarship has no computational layer at all, so the role sits permanently empty on the contributor statement — not because no comparable labour occurred, but because the taxonomy has no slot for it.
- Resources lists “reagents, materials, patients, laboratory samples, animals, instrumentation” — a checklist with no analogue for archival access negotiated with a rights holder, oral-history interview subjects recruited over years, or a rare manuscript collection consulted under restricted access.
The table below maps each role’s STEM-native definition against the closest HSS reality it is asked to cover.
| CRediT role | STEM-native definition | HSS scholarship it is asked to cover |
|---|---|---|
| Investigation | Performing experiments or data/evidence collection | Archival research, ethnographic fieldwork, oral history, close textual analysis |
| Software | Programming, code, computational tools | No equivalent in most theoretical or literary scholarship |
| Resources | Reagents, samples, instrumentation, materials | Archival access, informant recruitment, rare-collection consultation |
What does the evidence say about CRediT outside STEM?
The mismatch is documented, not merely anecdotal. A 2025 study published in Accountability in Research examined the contributor role taxonomy’s use in library and information science journals and found the existing 14 roles were not a comfortable fit for social-science-style contributions. Vasilevsky et al. (2021), also in Accountability in Research, argued that authorship alone is insufficient for collaborative research and called for contributor-role systems to be extended beyond their original scope.
Matarese and Shashok, writing in Publications (2019), found that CRediT’s categories can be too coarse even within the biomedical contexts it was built for, prompting proposals for revision. A separate study of a psychology research project found that independent raters classifying the same contributions showed low agreement on both the number and type of roles involved — evidence that the taxonomy’s boundaries are harder to apply consistently than its clean 14-item list suggests.
The International Committee of Medical Journal Editors (ICMJE) has separately noted that documenting contributions with CRediT or any similar scheme “leaves unresolved the question of the quantity and quality of contribution that qualify an individual for authorship” — a caveat that applies with equal force to HSS disciplines, where sole authorship and non-hierarchical intellectual debt are already harder to parcel into discrete roles.
How can journals and institutions adapt CRediT for HSS scholarship?
Adapting CRediT for archival, ethnographic or theoretical work does not require abandoning it. It requires using it honestly rather than stretching its STEM vocabulary to breaking point.
- Leave roles blank rather than force-fitting them. CRediT does not require every role to be filled for every output; an empty Software field on a monograph chapter is accurate, not a gap to be papered over.
- Pair CRediT with a free-text supplementary statement for contributions the 14 roles do not describe — archival negotiation, translation, fieldwork access-brokering — rather than mislabelling them as “Investigation” or “Resources” for the sake of completing the form.
- Treat single-authored HSS works as a distinct case, where the contributor/author distinction that CRediT was built to clarify may simply not apply, rather than applying it cosmetically.
- Track discipline-specific extension proposals emerging from library and information science and other social-science-adjacent fields, several of which have proposed additional or renamed roles rather than a wholesale replacement taxonomy.
Answer-first Q&A on CRediT and contributor roles
What is the CRediT taxonomy?
The CRediT taxonomy is a standardised, 14-role controlled vocabulary for describing individual contributions to a scholarly research output, used instead of, or alongside, traditional author-order bylines. It was originated by CASRAI in 2014 and is now formalised as ANSI/NISO Z39.104-2022, with each role carrying a unique, machine-readable identifier.
What are the 14 roles of CRediT taxonomy?
The 14 roles are Conceptualization, Data Curation, Formal Analysis, Funding Acquisition, Investigation, Methodology, Project Administration, Resources, Software, Supervision, Validation, Visualization, Writing – Original Draft, and Writing – Review & Editing. They are organised without hierarchy, and contributors may hold multiple roles on a single output.
What does Investigation mean in CRediT taxonomy?
Investigation is officially defined as “conducting a research and investigation process, specifically performing the experiments, or data/evidence collection.” That phrasing centres experimental and fieldwork-style data gathering, which is why archival research, close reading and theoretical argument-building sit awkwardly inside a role written for laboratory or survey-based evidence collection.
How do I CRediT someone in a research paper?
Authors typically complete a CRediT statement at submission, assigning each named contributor one or more of the 14 roles, optionally with a degree qualifier (“lead,” “equal” or “supporting”). For humanities and social science submissions where roles do not cleanly apply, the more transparent approach is to leave inapplicable roles unfilled and add a brief supplementary note rather than mislabel contributions to complete the form.
Implications for research administrators and publishers
For research offices and publishers serving mixed STEM/HSS portfolios, the practical implication is that a single CRediT template cannot be applied uniformly across disciplines without editorial guidance. Journals in library science, digital humanities and area studies have already begun documenting where the taxonomy strains, and that evidence base — not a wholesale rejection of contributor-role systems — is the right foundation for discipline-sensitive guidance.
The taxonomy’s own governance structure supports this kind of refinement: NISO’s ANSI/NISO Z39.104-2022 standard is maintained through open, community-based revision, meaning discipline-specific extension proposals have a legitimate path forward rather than requiring a competing standard. Institutions adopting CRediT contributor roles for mixed-discipline outputs, and those documenting broader authorship practice, should treat the STEM origin of these 14 roles as a known constraint to design around, not a hidden defect to discover after the fact.