The Office of Research Integrity is in the process of final review of its new regulations and implementation is expected shortly. Until amended rules are implemented, EMU will continue to use ORI’s existing definition and regulations [http://ori.dhhs.gov/html/policies/fed_research_misconduct.asp].

The federal-wide definition has been designed to provide a consistent minimum standard across federal agencies. It does not, however, limit an institution’s ability to implement additional guidelines or specific ethical guidance.

Eastern Michigan University's policy on Scientific Integrity and Misconduct uses the following definition:

"The term scientific misconduct is defined in Eastern Michigan University's policy on Scientific Integrity and Misconduct as including, but not limited to:

• Falsification, fabrication, or misrepresentation of data, including deceptive reporting, or omission of conflicting data with the intent of falsifying results
  
  
• Plagiarism or misrepresentation of others' work as one's own
  
  
• Failure to assign authorship appropriately on any manuscript, report, project, publication, or electronic communication
  
  
• Deliberate violation of a University policy or standard procedure in research, including but not limited to the policies on the use of human subjects and the use and care of animals
  
  
• Abuse of confidentiality in peer, editorial, or regulatory review, or use or disclosure of privileged information, such as misappropriating ideas from others' grant proposals, award applications, or manuscripts, or inappropriately using other privileged communications
  
  
• Other practices that seriously deviate from those that are commonly accepted within the academic and scientific community for proposing, conducting, and reporting research.
  

Also included as "scientific misconduct" for purposes of these policies and procedures is retaliation of any kind against a person who, acting in good faith, reports or provides information about suspected or alleged misconduct. Misconduct does not include honest error or honest differences in interpretations or judgments of data.