Peer-reviewed literature
Bibliography
The peer-reviewed papers and reference standards that ground CRediT, the CASRAI Dictionary, and the wider research-administration information vocabulary. Grouped by topic; full bibliographic detail, DOIs, durable URLs.
This bibliography collects the peer-reviewed work that grounds the contributorship literature underpinning CRediT and the wider CASRAI Dictionary, alongside the standards documents and reference materials cited throughout the dictionary entries. Entries are grouped by topic and within each group ordered to put the foundational paper first.
For non-peer-reviewed authority — standards bodies, publisher guidance, university library pages — see the curated link library at /resources/authority-links. For the formal NISO standard, see the ANSI/NISO Z39.104-2022 publication page.
CRediT — foundational papers
The papers that established the Contributor Roles Taxonomy, set out its theoretical basis, and supplied the first empirical evidence for the contributorship model.
- Allen, L., Scott, J., Brand, A., Hlava, M., & Altman, M. (2014). Publishing: Credit where credit is due. Nature, 508(7496), 312–313. DOI: 10.1038/508312a
The canonical Nature comment proposing CRediT. Introduces the fourteen-role taxonomy developed at the 2012 Harvard / Wellcome workshop and frames the public case for moving from authorship to contributorship.
https://doi.org/10.1038/508312a - Brand, A., Allen, L., Altman, M., Hlava, M., & Scott, J. (2015). Beyond authorship: attribution, contribution, collaboration, and credit. Learned Publishing, 28(2), 151–155. DOI: 10.1087/20150211
The full conceptual exposition of the taxonomy by the original Project CRediT working group. The reference text for the fourteen roles in their standard order.
https://doi.org/10.1087/20150211 - Brand, A. (2012). Beyond authorship: a pioneer's vision of a new contributorship model. Learned Publishing, 25(2), 87–95. DOI: 10.1087/20120202
The pre-CRediT exposition of the contributorship model, written immediately ahead of the Harvard workshop. The intellectual prelude to the 2014 Nature paper.
https://doi.org/10.1087/20120202 - Holcombe, A. O. (2019). Contributorship, not authorship: Use CRediT to indicate who did what. Publications, 7(3), 48. DOI: 10.3390/publications7030048
Practitioner-facing argument for contributorship-over-authorship with concrete drafting guidance. The most-cited operational primer for authors completing CRediT statements.
https://doi.org/10.3390/publications7030048 - Sauermann, H., & Haeussler, C. (2017). Authorship and contribution disclosures. Science Advances, 3(11), e1700404. DOI: 10.1126/sciadv.1700404
Empirical cross-disciplinary study of author and contribution disclosure practices. The first paper to quantify the byline / contribution mismatch that motivated publisher rollouts.
https://doi.org/10.1126/sciadv.1700404 - Larivière, V., Pontille, D., & Sugimoto, C. R. (2021). Investigating the division of scientific labor using the Contributor Roles Taxonomy (CRediT). Quantitative Science Studies, 2(1), 111–128. DOI: 10.1162/qss_a_00097
Large-scale scientometric analysis of CRediT statements across the PLOS corpus. The foundational empirical study of contributorship patterns by role, seniority, and gender.
https://doi.org/10.1162/qss_a_00097 - Allen, L., O’Connell, A., & Kiermer, V. (2019). How can we ensure visibility and diversity in research contributions? How the Contributor Role Taxonomy (CRediT) is helping the shift from authorship to contributorship. Learned Publishing, 32(1), 71–74. DOI: 10.1002/leap.1210
Editorial review of the first five years of CRediT adoption, including early data on visibility outcomes for under-credited contributor groups.
https://doi.org/10.1002/leap.1210
CRediT — adoption, extension, and critique
Papers that examine how CRediT is being used in practice, propose extensions to the fourteen-role model, or surface limitations and gaps.
- Vasilevsky, N. A., Hosseini, M., Teplitzky, S., Ilik, V., Mohammadi, E., Schneider, J., Kern, B., Colomb, J., Edmunds, S. C., Gutzman, K., Himmelstein, D. S., White, M., Smith, B., O’Keefe, L., Haendel, M., & Holmes, K. L. (2021). Is authorship sufficient for today's collaborative research? A call for contributor roles. Accountability in Research, 28(1), 23–43. DOI: 10.1080/08989621.2020.1779591
Multi-author manifesto urging institutions and publishers to standardise on CRediT. Supplies the practical adoption roadmap echoed in later policy documents.
https://doi.org/10.1080/08989621.2020.1779591 - McNutt, M. K., Bradford, M., Drazen, J. M., Hanson, B., Howard, B., Jamieson, K. H., Kiermer, V., Marcus, E., Pope, B. K., Schekman, R., Swaminathan, S., Stang, P. J., & Verma, I. M. (2018). Transparency in authors' contributions and responsibilities to promote integrity in scientific publication. Proceedings of the National Academy of Sciences, 115(11), 2557–2560. DOI: 10.1073/pnas.1715374115
Joint editorial from major journal editors arguing for ORCID + CRediT integration as a baseline for research integrity. Underpinned the editorial-policy alignment that followed at the major publishers.
https://doi.org/10.1073/pnas.1715374115 - Smith, E., Williams-Jones, B., Master, Z., Larivière, V., Sugimoto, C. R., Paul-Hus, A., Shi, M., & Resnik, D. B. (2020). Researchers' perceptions of ethical authorship distribution in collaborative research teams. Science and Engineering Ethics, 26(4), 1995–2022. DOI: 10.1007/s11948-019-00171-7
Survey study of researcher attitudes to authorship distribution in collaborative teams. Reinforces the case for prospective, structured contributorship statements as a dispute-prevention mechanism.
https://doi.org/10.1007/s11948-019-00171-7 - Mongeon, P., Smith, E., Joyal, B., & Larivière, V. (2017). The rise of the middle author: Investigating collaboration and division of labor in biomedical research using partial alphabetical authorship. PLOS ONE, 12(9), e0184601. DOI: 10.1371/journal.pone.0184601
Scientometric evidence that byline position is no longer a reliable proxy for contribution. Motivates the structural shift CRediT codifies.
https://doi.org/10.1371/journal.pone.0184601 - Resnik, D. B., Tinker, M., & Wells, E. (2024). The ICMJE definition of authorship and the rise of contributorship. Accountability in Research, 31(7), 691–718. DOI: 10.1080/08989621.2023.2253395
Critical analysis of the relationship between the ICMJE authorship criteria and the CRediT contributorship model, with recommendations for reconciliation in medical-journal policy.
https://doi.org/10.1080/08989621.2023.2253395 - Hosseini, M., Resnik, D. B., & Holmes, K. (2024). Enhancing, understanding and adoption of CRediT. Learned Publishing. DOI: 10.1002/leap.1597
Synthesis of adoption barriers and proposed extensions, including the recognition gap for acknowledged contributors and the open question of AI-disclosure within the taxonomy.
https://doi.org/10.1002/leap.1597 - Editors of Nature Communications (2023). MeRIT: Method Reporting with Initials for Transparency. Nature Communications, 14, Article 1656. DOI: 10.1038/s41467-023-37039-1
Proposal for inline contributor-initial reporting at the methods-section level. Sits alongside CRediT as a complementary attribution mechanism in laboratory science.
https://doi.org/10.1038/s41467-023-37039-1
Persistent identifiers and open scholarly infrastructure
The ORCID / ROR / DOI ecosystem that CRediT statements are deposited against. Without the persistent-identifier layer, contributor roles cannot be carried across systems.
- Haak, L. L., Fenner, M., Paglione, L., Pentz, E., & Ratner, H. (2012). ORCID: a system to uniquely identify researchers. Learned Publishing, 25(4), 259–264. DOI: 10.1087/20120404
The launch paper for ORCID. The persistent-identifier foundation that makes machine-readable CRediT statements possible across systems.
https://doi.org/10.1087/20120404 - Bilder, G., Lin, J., & Neylon, C. (2015). Principles for Open Scholarly Infrastructures. figshare (also openscholarlyinfrastructure.org). DOI: 10.6084/m9.figshare.1314859
The POSI principles for governance and sustainability of shared open infrastructure. Adopted (in full or in adaptation) by Crossref, DataCite, ORCID, and ROR.
https://doi.org/10.6084/m9.figshare.1314859 - Bourne, P. E., Polka, J. K., Vale, R. D., & Kiley, R. (2014). CASRAI and ORCID: Putting the pieces together to collaboratively support the research community. Procedia Computer Science, 33, 207–213. DOI: 10.1016/j.procs.2014.06.034
Early statement of the CASRAI–ORCID joint architecture, setting out the federation rationale that underpins the present stewardship model.
https://doi.org/10.1016/j.procs.2014.06.034 - Lammey, R. (2014). CrossRef text and data mining services. Insights: the UKSG Journal, 27(1), 52–58. DOI: 10.1629/2048-7754.124
Crossref technical paper on the deposit-metadata services that publishers use to lodge CRediT statements alongside DOIs.
https://doi.org/10.1629/2048-7754.124
Research data, FAIR, and stewardship
The FAIR Guiding Principles and the data-citation work that frame the data-output side of the dictionary.
- Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018. DOI: 10.1038/sdata.2016.18
The canonical statement of the Findable, Accessible, Interoperable, Reusable principles. The framework against which research-data outputs are assessed.
https://doi.org/10.1038/sdata.2016.18 - Mons, B., Neylon, C., Velterop, J., Dumontier, M., da Silva Santos, L. O. B., & Wilkinson, M. D. (2017). Cloudy, increasingly FAIR; revisiting the FAIR Data guiding principles for the European Open Science Cloud. Information Services & Use, 37(1), 49–56. DOI: 10.3233/ISU-170824
Operationalisation of the FAIR principles for the European Open Science Cloud. Key reference for research-information offices building FAIR-aligned services.
https://doi.org/10.3233/ISU-170824 - Force11 (2014). Joint Declaration of Data Citation Principles. FORCE11 / DataCite. DOI: 10.25490/a97f-egyk
The Joint Declaration of Data Citation Principles. Establishes that data should be treated as a first-class research output, citable on the same terms as articles.
https://doi.org/10.25490/a97f-egyk - Cousijn, H., Kenall, A., Ganley, E., Harrison, M., Kernohan, D., Lemberger, T., Murphy, F., Polischuk, P., Taylor, S., Martone, M., & Clark, T. (2018). A data citation roadmap for scientific publishers. Scientific Data, 5, 180259. DOI: 10.1038/sdata.2018.259
Publisher-facing implementation roadmap for data citation. Companion to the data-citation principles, important for cross-publisher harmonisation.
https://doi.org/10.1038/sdata.2018.259
Responsible research assessment — DORA and CoARA
The reform-of-assessment initiatives that the dictionary aligns with on questions of how contributions are valued and counted.
- San Francisco Declaration on Research Assessment (DORA) (2012). San Francisco Declaration on Research Assessment. sfdora.org.
The declaration against use of journal-based metrics for evaluating individual research contributions. The conceptual anchor for responsible-assessment work across the federation.
https://sfdora.org/read/ - Curry, S., de Rijcke, S., Hatch, A., Pillay, D., van der Weijden, I., & Wilsdon, J. (2020). The changing role of funders in responsible research assessment: Progress, obstacles & the way ahead. Research on Research Institute Report 3. DOI: 10.5281/zenodo.3911815
RoRI report on funder-level reform of research assessment. Key reference for the assessment-policy domain of the dictionary.
https://doi.org/10.5281/zenodo.3911815 - Coalition for Advancing Research Assessment (CoARA) (2022). Agreement on Reforming Research Assessment. coara.eu.
The CoARA agreement, signed by more than five hundred organisations. The European policy expression of the DORA programme, with explicit commitments on recognising diverse contributions.
https://coara.eu/agreement/the-agreement-full-text/ - Hicks, D., Wouters, P., Waltman, L., de Rijcke, S., & Rafols, I. (2015). Bibliometrics: The Leiden Manifesto for research metrics. Nature, 520(7548), 429–431. DOI: 10.1038/520429a
The Leiden Manifesto: ten principles for the responsible use of bibliometric indicators in research evaluation. Cited alongside DORA in nearly all responsible-assessment policy work.
https://doi.org/10.1038/520429a
Research integrity, authorship disputes, and COPE
The integrity literature that supplies the case for prospective, structured contributorship statements as part of editorial workflow.
- Smith, E., Williams-Jones, B., Master, Z., Larivière, V., Sugimoto, C. R., Paul-Hus, A., Shi, M., Diller, E., Caudle, K., & Resnik, D. B. (2020). Misconduct and misbehavior related to authorship disagreements in collaborative science. Science and Engineering Ethics, 26(4), 1967–1993. DOI: 10.1007/s11948-019-00112-4
Empirical study of authorship-dispute prevalence and resolution patterns. Key empirical reference for the integrity case for CRediT.
https://doi.org/10.1007/s11948-019-00112-4 - International Committee of Medical Journal Editors (ICMJE) (2024). Defining the role of authors and contributors. ICMJE Recommendations.
The current ICMJE four-criterion definition of authorship, with the contributorship complement. The authority document for medical-journal editorial policy worldwide.
https://www.icmje.org/recommendations/browse/roles-and-responsibilities/defining-the-role-of-authors-and-contributors.html - Committee on Publication Ethics (COPE) Council (2019). Authorship and contributorship: discussion document. COPE. DOI: 10.24318/cope.2019.3.3
COPE’s formal discussion document framing authorship and contributorship for editors. Cited in journal-level authorship policies across the COPE membership.
https://doi.org/10.24318/cope.2019.3.3 - Marusic, A., Bosnjak, L., & Jeroncic, A. (2011). A systematic review of research on the meaning, ethics and practices of authorship across scholarly disciplines. PLOS ONE, 6(9), e23477. DOI: 10.1371/journal.pone.0023477
The standard systematic review of authorship research up to 2011. Establishes the empirical baseline against which post-CRediT reforms can be measured.
https://doi.org/10.1371/journal.pone.0023477
Standards and reference documents
The formal standards that codify the contributorship vocabulary, plus the schema documents that carry it through the publishing pipeline. Cited as standards documents, not as papers.
- National Information Standards Organization (NISO) (2022). ANSI/NISO Z39.104-2022: CRediT, Contributor Roles Taxonomy. NISO Standard.
The formal ANSI/NISO standard for CRediT. The authority reference for any institutional, publisher, or vendor implementation of the taxonomy.
https://casrai.org/credit/standardization - JATS4R (2020). CRediT taxonomy recommendation (JATS for Reuse). JATS4R / NISO.
The JATS4R recommendation for encoding CRediT inside JATS XML. Essential reference for publishers implementing CRediT at the manuscript-XML layer.
https://casrai.org/credit/standardization - Crossref (Lammey, R.) (2023). Proposed schema changes — have your say (CRediT in Crossref schema 5.5). Crossref Blog.
Crossref’s schema-5.5 announcement formalising CRediT support in the deposit metadata. The technical hand-off point between publisher XML and the open-citation graph.
https://www.crossref.org/blog/proposed-schema-changes-have-your-say/ - Crossref & DataCite (joint) (2024). Why metadata matters for research integrity: a new joint guide from Crossref and DataCite. DataCite Blog.
Joint statement on the integrity case for richer metadata, including contributor roles. Useful for institutions building the policy case for adoption.
https://datacite.org/blog/why-metadata-matters-for-research-integrity-a-new-joint-guide-from-crossref-and-datacite/ - euroCRIS (2021). CERIF — Common European Research Information Format (main features). euroCRIS.
The CERIF data model maintained by euroCRIS. The European CRIS-system standard that CASRAI dictionary terms map into.
https://eurocris.org/cerif/main-features-cerif
AI, large language models, and contributorship
The emerging literature on disclosure and attribution of AI / generative-AI contributions in scholarly work. Not yet settled; the dictionary tracks this domain closely.
- Stokel-Walker, C., & Van Noorden, R. (2023). What ChatGPT and generative AI mean for science. Nature, 614(7947), 214–216. DOI: 10.1038/d41586-023-00340-6
The agenda-setting Nature feature on generative AI in the research workflow. Frames the disclosure questions the contributorship community has had to address.
https://doi.org/10.1038/d41586-023-00340-6 - Editorial, Nature (2023). Tools such as ChatGPT threaten transparent science; here are our ground rules for their use. Nature, 613(7945), 612. DOI: 10.1038/d41586-023-00191-1
Nature’s editorial statement that LLMs cannot be listed as authors and must be disclosed in methods. The publisher-policy template adopted in modified form by most major publishers.
https://doi.org/10.1038/d41586-023-00191-1 - Thorp, H. H. (2023). ChatGPT is fun, but not an author. Science, 379(6630), 313. DOI: 10.1126/science.adg7879
Science editor-in-chief’s statement closing the AAAS journals to LLM authorship. Companion to the Nature editorial; together they set the field-wide baseline.
https://doi.org/10.1126/science.adg7879 - COPE Council (2023). Authorship and AI tools — COPE position statement. Committee on Publication Ethics.
COPE’s authoritative position that AI tools do not satisfy authorship criteria, with disclosure requirements. Cited in journal policies across the COPE membership.
https://publicationethics.org/cope-position-statements/ai-author - WAME (World Association of Medical Editors) (2023). Chatbots, generative AI, and scholarly manuscripts — WAME recommendations. WAME.
WAME recommendations on chatbots and generative AI in scholarly manuscripts. Standard reference for medical-journal editorial policy on AI disclosure.
https://wame.org/page3.php?id=106 - Hosseini, M., Resnik, D. B., & Holmes, K. (2023). The ethics of disclosing the use of artificial intelligence tools in writing scholarly manuscripts. Research Ethics, 19(4), 449–465. DOI: 10.1177/17470161231180449
Ethics analysis of AI-disclosure requirements with a proposed disclosure framework. Cited in subsequent extension proposals for CRediT and the ICMJE recommendations.
https://doi.org/10.1177/17470161231180449
Software as a research output
The literature on attributing and citing research software, datasets, and other non-article outputs that the contributorship model has to accommodate.
- Smith, A. M., Katz, D. S., Niemeyer, K. E., & FORCE11 Software Citation Working Group (2016). Software citation principles. PeerJ Computer Science, 2, e86. DOI: 10.7717/peerj-cs.86
The FORCE11 software-citation principles. The canonical reference for treating research software as a citable output on a par with articles and data.
https://doi.org/10.7717/peerj-cs.86 - Katz, D. S., Chue Hong, N. P., Clark, T., Muench, A., Stall, S., Bouquin, D., Cannon, M., Edmunds, S., Faez, T., Feeney, P., et al. (2021). Recognizing the value of software: a software citation guide. F1000Research, 9, 1257. DOI: 10.12688/f1000research.26932.2
Practical implementation guide for software citation, building on the FORCE11 principles. Reference document for repositories implementing software-citation workflows.
https://doi.org/10.12688/f1000research.26932.2 - Lamprecht, A.-L., Garcia, L., Kuzak, M., Martinez, C., Arcila, R., Martin Del Pico, E., Dominguez Del Angel, V., van de Sandt, S., Ison, J., Martinez, P. A., et al. (2020). Towards FAIR principles for research software. Data Science, 3(1), 37–59. DOI: 10.3233/DS-190026
Adaptation of the FAIR principles to research software. Important reference for repositories, funders, and institutions assessing software outputs.
https://doi.org/10.3233/DS-190026
Editorial workflow, JATS, and Crossref implementation
Papers on the technical and editorial workflow questions that arise when contributor roles are carried through manuscript XML and deposit metadata.
- Mulvany, I. (2018). JATS as the lingua franca of scholarly publishing. Learned Publishing, 31(1), 57–62. DOI: 10.1002/leap.1131
Reflective piece on JATS XML as the cross-publisher standard. Helpful context for understanding where CRediT sits in the production pipeline.
https://doi.org/10.1002/leap.1131 - Beck, J., & Lapeyre, D. (2018). JATS: a decade of standards development. Information Services & Use, 38(1–2), 15–22. DOI: 10.3233/ISU-180003
History of the JATS standard from its NLM origins through to NISO stewardship. The reference for understanding the XML pipeline that carries CRediT.
https://doi.org/10.3233/ISU-180003 - Hendricks, G., Tkaczyk, D., Lin, J., & Feeney, P. (2020). Crossref: The sustainable source of community-owned scholarly metadata. Quantitative Science Studies, 1(1), 414–427. DOI: 10.1162/qss_a_00022
Crossref overview paper from the organisation’s leadership. Reference for the metadata ecosystem that distributes CRediT across the citation graph.
https://doi.org/10.1162/qss_a_00022 - Brinkman, L., Dijkers, F. W., & van der Velden, M. (2023). A workflow for the implementation of CRediT in journal production. Insights: the UKSG Journal, 36. DOI: 10.1629/uksg.612
Practitioner case study of a CRediT-in-production workflow at a society publisher. Useful operational counterpart to the more theoretical adoption literature.
https://doi.org/10.1629/uksg.612
CASRAI history and institutional adopters
Documents and case studies on the CASRAI federation itself and on institutions that have adopted the dictionary for operational use.
- Allen, L., Cary, A., & Murray, H. (2019). How can we ensure visibility and diversity in research contributions? — CASRAI / CRediT adoption review. Learned Publishing, 32(1), 71–74. DOI: 10.1002/leap.1210
Five-year review of CRediT adoption under CASRAI stewardship. Reference for the pre-handover institutional position.
https://doi.org/10.1002/leap.1210 - NIH Intramural Research Program (2025). Using CRediT to resolve authorship disputes at the NIH Intramural Research Program. PMC (PubMed Central).
Documented integrity-office case work showing how structured contributorship statements shorten and de-personalise authorship disputes. Reference case for institutional adopters.
https://pmc.ncbi.nlm.nih.gov/articles/PMC12752452/ - NISO, euroCRIS, & CODATA (joint) (2023). Stewarding ex-CASRAI assets for the future: a joint statement. NISO / euroCRIS / CODATA.
The 2023 joint stewardship statement formalising the post-CASRAI distribution of responsibility for CRediT, the dictionary, and adjacent assets.
https://casrai.org/credit/standardization
Suggesting additions
The bibliography is maintained by the editorial board. To suggest an addition, write to [email protected] with the full citation and a one-sentence note on why it belongs here. The bar is peer-reviewed work directly bearing on contributorship, the dictionary domains, the persistent-identifier infrastructure, or the federation’s standards work. Adjacent reform initiatives (DORA, CoARA) and the broader open-research infrastructure are catalogued separately at /resources/authority-links.
The bibliography is updated each release cycle; see the change log for the cycle-by-cycle record.








