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Research Misconduct Findings (HHS ORI + NSF OIG)
Published by MORVS — source-linked public data for AI agents. Catalog: morvs.ai/regulatory · Dataset page: api.morvs.ai/datasets/research-misconduct
Every formal finding of research misconduct (fabrication, falsification, plagiarism) published as a Federal Register notice. 209 findings since 1999. Each names a specific researcher and details the federal grants involved + administrative actions taken (debarment, supervised research, retraction requirements). HHS ORI presents this poorly via a Drupal Views UI that indexes only ~30; we pull the canonical set from the FR API.
Live API
This dataset is served via a live REST API at api.morvs.ai. The card you're reading exists so HuggingFace's index can route AI agents + researchers to the canonical source.
- API endpoint:
https://api.morvs.ai/api/v1/research-misconduct/recent - Dataset landing page: https://api.morvs.ai/datasets/research-misconduct
- DataCatalog (JSON-LD): https://api.morvs.ai/.well-known/dataset.json
- DCAT-US (data.gov-compatible): https://api.morvs.ai/data.json
Quick start
# Recent records (JSON)
curl 'https://api.morvs.ai/api/v1/research-misconduct/recent?limit=10'
# Browse on the web
open 'https://api.morvs.ai/datasets/research-misconduct'
MCP (Model Context Protocol)
This dataset is also accessible via MCP at https://api.morvs.ai/mcp — Claude, ChatGPT, and other MCP-compatible agents can call it directly.
Source
- Agency: HHS Office of Research Integrity / NSF Office of Inspector General
- Primary source: https://www.federalregister.gov/api/v1/documents.json?conditions%5Bterm%5D=%22Findings+of+Research+Misconduct%22
- License: CC0 1.0 applies only to MORVS-authored metadata in this card. Underlying records authored by US federal employees as part of their official duties are US federal government works not subject to copyright under 17 U.S.C. § 105. See MORVS source terms for third-party and other material. Free or keyless access does not alter source terms.
- Update cadence: Varies by source; see the live freshness report
Keywords
research misconduct, academic fraud, ORI, scientific integrity, data fabrication, research debarment, 42 CFR 93
Citation
@misc{ai_analytics_research_misconduct_2026,
title = {{name}},
author = {MORVS},
year = {2026},
url = {https://api.morvs.ai/datasets/research-misconduct},
note = {Derived from HHS Office of Research Integrity / NSF Office of Inspector General. CC0 applies only to MORVS-authored card metadata; federal works follow 17 U.S.C. 105.}
}
Related
- Full data catalog
- Unified compliance screening (30+ enforcement lists)
- Cross-vertical entity timeline
- OpenAPI 3.1 spec
- llms.txt for AI agents
Maintained by MORVS (operated by AI Analytics LLC). CC0 applies only to MORVS-authored metadata in this card; please cite the upstream agency.
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