# Findings of Research Misconduct

> Health and Human Services Department / Office of the Secretary · Federal Register notice 2018-25065 · published 2018-11-16



## Abstract

Notice is hereby given that on October 22, 2018, the U.S. Department of Health and Human Services (HHS) Debarring Official, on behalf of the Secretary of HHS, issued a final notice of debarment based on an Administrative Law Judge's finding of research misconduct against Rakesh Srivastava, Ph.D., former Eminent Scholar and Professor, University of Kansas Medical Center (KUMC). Dr. Srivastava engaged in research misconduct in research proposed or reported in grant application 1 R01 CA175776-01, submitted to the National Cancer Institute (NCI), National Institutes of Health (NIH), on June 5, 2012. The administrative actions, including two (2) years of debarment, were implemented beginning on October 22, 2018, and are detailed below.


## What this is

A formal finding of research misconduct under 42 CFR part 93 (HHS) or equivalent agency policy. The respondent — a researcher — was found to have engaged in fabrication, falsification, or plagiarism of research data. The federal grant funds involved are typically identified, along with the administrative actions (debarment, supervised research, manuscript correction or retraction requirements).

## Key facts

- **Federal Register document:** 2018-25065
- **Title:** Findings of Research Misconduct
- **Publication date:** 2018-11-16
- **Issuing agency:** Health and Human Services Department / Office of the Secretary

## Primary sources

- Federal Register HTML notice: https://www.federalregister.gov/documents/2018/11/16/2018-25065/findings-of-research-misconduct
- PDF: https://www.govinfo.gov/content/pkg/FR-2018-11-16/pdf/2018-25065.pdf
- Raw text: https://www.federalregister.gov/documents/full_text/text/2018/11/16/2018-25065.txt

## Citation

> Health and Human Services Department / Office of the Secretary, "Findings of Research Misconduct", Federal Register notice 2018-25065, published 2018-11-16. Retrieved via AI Analytics 2026-05-19 from https://api.ai-analytics.org/research-misconduct/2018-25065.

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