Policy & Compliance



Policy & Compliance

Research Integrity: Engaging in ethical research and scholarship and reporting misconduct reinforce the central aim of the academic enterprise: the pursuit of knowledge. St. Catherine University provides the following policies and resources to foster a culture of research integrity and compliance:

St. Kate's Policies

Indirect Cost Policy Intellectual Property Policy
Research Misconduct Policy & Procedural Manual Responsible Conduct of Research and Scholarship Policies & Procedures Manual
Financial Conflict of Interest (FCOI) Policy & Procedural Manual Debarment & Suspension Certification Policy

Debarment and Suspension

Individuals or organizations that have not fulfilled their contractual obligations for federal funding getdebarred, making them ineligible for government grants and contracts. 

Grantees may not enter into transactions with any individual or vendor that is debarred or suspended, and any charges to federal funds for these individuals or entities are unallowable.

Before proposal submission, the PI must certify they are not debarred or suspended.  Additionally, before entering into transactions under a sponsor agreement. the University must certify the individuals and organizations they contract with or pay as vendors are not debarred or suspended. Debarment and Suspension Policy.

Research Misconduct

Research Misconduct encompasses both research and scholarship and consists of:

  • Fabrication of data - making up data or results and recording or reporting them.
  • Falsification of data, research procedures, or data analysis - manipulation of research materials, equipment, or processes; changing or omitting data or results so that research is not accurately represented in the record.
  • Plagiarism - the appropriation of another person’s ideas, processes, results, or words without giving appropriate credit.

Research Misconduct requires that the person committed the research misconduct intentionally, knowingly, and recklessly.  It does NOT include honest error or differences in interpretations or judgments of data.