Below is information for the Data Tables for NIGMS predoctoral programs, including the following:
Include the following Forms I Data Tables for new or renewal applications (see NIH Training Tables Website). Combine in a single document and upload to "Section 9: Data Tables" of the PHS 398 Research Training Program Plan Forms I.
Additional Data to Replace Table 6
NIGMS no longer requires Training Table 6A in its Institutional Predoctoral T32 training grant applications. To avoid the inclusion of Table 6 in a training data table set generated via xTRACT, applicants should omit the "Start year of the most recently completed academic year" when prompted in the Applicants/Entrants section. The resulting PDF will then exclude Table 6A.
Although Table 6A is not required, applicants must provide Baseline Data on the Trainee Pool to facilitate NIGMS review of the ability of participating departments/interdepartmental programs to recruit training grant eligible individuals. NIH also uses the number of training grant eligible candidates to determine the appropriate budget and number of funded positions. NIGMS will use the data provided in a manner consistent with applicable law.
Accordingly, provide the numbers and characteristics of training grant eligible individuals who (I) applied, (II) were admitted, and (III) matriculated for each of the past 5 academic years as well as the average over those years. Applicants are encouraged to use the Suggested Formats below.
The required attachment with Baseline Data on the Trainee Pool must be combined with the other required attachments (such as the Recruitment Plan to Enhance Diversity) and uploaded to “Other Project Information” of the PHS 398 Research Training Program Plan and must not be included in the Data Table section.
For all applications, NIGMS recommends using the Suggested Format Table A to represent the required Baseline Data on the Trainee Pool:
NIGMS recommends using the Suggested Format Table B in addition to Suggested Formats A for applications with multi-departmental or multi-organizational structures: