# Findings of Research Misconduct

> Health and Human Services Department / Office of the Secretary · Federal Register notice 2022-06246 · published 2022-03-24



## Abstract

Findings of research misconduct have been made against Daniel Leong, Ph.D. (Respondent), formerly a Research Technician, Albert Einstein College of Medicine (AECM). Respondent engaged in research misconduct in research supported by U.S. Public Health Service (PHS) funds, specifically National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Institutes of Health (NIH), grant R01 AR050968 and National Heart, Lung, and Blood Institute (NHLBI), NIH, grant P01 HL110900. The administrative actions, including debarment for a period of four (4) years followed by supervision for a period of four (4) years, were implemented beginning on February 28, 2022, 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:** 2022-06246
- **Title:** Findings of Research Misconduct
- **Publication date:** 2022-03-24
- **Issuing agency:** Health and Human Services Department / Office of the Secretary

## Primary sources

- Federal Register HTML notice: https://www.federalregister.gov/documents/2022/03/24/2022-06246/findings-of-research-misconduct
- PDF: https://www.govinfo.gov/content/pkg/FR-2022-03-24/pdf/2022-06246.pdf
- Raw text: https://www.federalregister.gov/documents/full_text/text/2022/03/24/2022-06246.txt

## Citation

> Health and Human Services Department / Office of the Secretary, "Findings of Research Misconduct", Federal Register notice 2022-06246, published 2022-03-24. Retrieved via AI Analytics 2026-07-17 from https://api.ai-analytics.org/research-misconduct/2022-06246.

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