Guidelines

Exempt review

Research with less than minimal risk on subjects can be designated as exempt from full IRB review (and follow-up continuing reviews). Researchers are required to apply to NTU-IRB and obtain formal approval for Exempt-status. The proposal must still be reviewed by a member of the IRB to assign Exempt status, but the application process may be considerably shorter.

Typically, research studies where participants will be anonymous or effectively de-identified are eligible for Exempt review. Participants must not be from vulnerable groups, unless expressedly allowed within any of the Exempt categories.  

Studies must fall into one of the Exempt categories below to qualify for Exempt-status. Researchers are to ensure that their study methodology will not lead to adverse outcomes that may trigger adverse emotional responses and ensure anonymity of research participants.

Note: If applications are determined to be not eligible for Exempt review, the PI is expected to re-submit under Expedited or Full Board review. 

​Categories

​1
Research in normal educational settings
2
Anonymous educational tests, surveys, interviews, or public observations
3
Benign behavioural interventions
4
Secondary research on existing (or public) datasets or biological materials
​5
Research conducted or supported by government
​6
Taste and food quality evaluations


General Exclusions:

  • Research involving prisoners and uniformed groups. 
  • Research involving children (when the research involves survey or interview procedures or observations in public behaviour), except when the investigators do not participate in the activities being observed. 


[ATTENTION!]

Application Procedure
: PIs are to fill up the Exempt Review Application Form available from our Forms page, and submit the completed form via the Exempt category in NORA. You are not required to fill up the web application form, other than the fields under Basic Information. 

Note: Exempt review will be trialled out from Apr 2019 for a few months, during which the Exempt criteria will be further refined with inputs from users.