Responsible Conduct of Research

Graduate course on Responsible Conduct of Research covering NIH competencies, ethical concerns, conflict of interest, human/animal subjects, peer review, data management, and research misconduct.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 2

Lectures are small, with a median of 22 enrolled students in the recorded sections.

Section enrollment · Fall 2026 snapshot ↗

What you’ll be able to do

  • Demonstrate knowledge of the ethical implications of biomedical research practices.

  • Develop best practices in using ethical reasoning to resolve dilemmas that can arise in biomedical research environments.

  • Develop proficiency in the principal rules and regulations governing scientific practice at university, state, and federal levels.

Source: UW Guide

Grade history

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average GPA
letter grades

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Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
MEDHIST 950

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Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027

No instructors recorded for this selection.

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Calendar & sections

Spring 2027

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Student experience

the class

Responsible Conduct of Research (RCR) training in required National Institutes of Health (NIH) competencies in the basic sciences. Explores ethical concerns inherent to contemporary scientific research practices, including, but not limited to, conflict of interest, human and animal subject research, peer review, data use and management, collaborative research, and research misconduct.

difficulty & workload

No workload feedback recorded.

Topics

  • Responsible Conduct of Research (RCR)
  • Ethical concerns in scientific research
  • Biomedical research ethics

Skills

  • Using ethical reasoning to resolve dilemmas in biomedical research
  • Understanding rules and regulations governing scientific practice

Grades

Instructor

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Sources & history

UW–Madison

Catalog & offerings

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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "20d992718db910c214f572744a995b316de674b4f79b1e132fb37a94f726fc3c",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}