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Data Tables 

NIH Updates to Data Tables 5/31/2024
Preview of Data Tables 9/24/24
NIH Data Table Instructions and link to Blank Tables
Table 1. Census of Participating Departments and Interdepartmental Programs
Table 2. Participating Faculty Members
Table 3. Federal Institutional Research Training Grant and Related Support Available to Participating Faculty Members
Table 4. Active Research Support of Participating Faculty Members
Table 5. Publications of Trainees Supported by this Program
Table 6. Training Program Candidates, Entrants, and Their Characteristics for the Past Five Years
Table 7. Appointments to the Training Grant for Each Year of the Current Project Period (renewals only)
Table 8. Program Outcomes
Table A. Predoc NIGMS Suggested Data Formats A & B

Overview

Applicants may create tables for their new or renewal applications either by using fellable tables in MS Word or via the xTRACT system.
Why Are Data Tables Required?
  • The data in these tables help present a detailed documentation of the training program.
  • Summarize the data from each table in the body of your grant application.
Training Grant Program Structure
  • Participating Departments
  • Training Faculty
  • Program Outcomes
Participating Departments - Tables 1 & 6
  • Should represent the programs that will enroll the students whom will eventually be appointed to the slots.
  • Tables show the direct ability of the respective departments to recruit and retain the prospective trainees, along with the selectivity of the admissions process.
Training Faculty - Table 2, 3, & 4
  • Training Program Faculty - direct control regarding the direction and curriculum of the training program, the final selection of trainee candidates, and the evaluation and evolution of the program.
  • Mentors / Preceptors - individuals who will serve as the primary mentors or co-mentors for the various trainee candidates.
  • Affiliated Faculty / Other Significant Contributors - serve on a trainee’s dissertation committee, oral committee or participate on training seminars or journal clubs; or perhaps they are critical to aspects of the program plan such as training coursework or ethics training.
Program Outcomes - Tables 5 & 8
  • Effectiveness of proposed training program.
  • Permits evaluation of the effectiveness of the supported training program and its objectives.
  • Lists publications of those in training and the ability of faculty members to foster productivity.
Current Training Grant Appointments - Table 7 (Renewals only)
  • Use of awarded training positions.

What table​s do I fill out for my application?

New Predoctoral Training
Submit tables: 1, 2, 3, 4, 5A, 6A, 8A (Part II only)
New Postdoctoral Training
Submit tables 1, 2, 3, 4, 5B, 6B, 8B
New Undergraduate Training
Submit tables: 1, 2, 3, 4, 5D, 8D
New Mixed Pre and Postdoctoral Training
Submit tables: 1, 2, 3, 4, 5A, 5B, 6A, 6B, 7, 8A, 8B (Part II only)
New Mixed Short-Term and Predoctoral Training
Submit tables: 1, 2, 3, 4, 5A, 6A
New Mixed Short-Term and Postdoctoral Training
Submit Tables 1, 2, 3, 4, 5B, 6B, 8B
New Mixed Short-Term Pre and Postdoctoral Training
Submit Tables 1, 2, 3, 4, 5A, 5B, 6A, 6B, 8A, 8B
New Short Term Training
Submit Tables: 1, 2, 3, 4, 6A
New International Training
 Submit Tables: 2I, 3I, 4I, 5I
Renewal or Revision Predoctoral Training
Submit tables: 1, 2, 3, 4, 5A, 6A, 7, 8A
Renewal or Revision Postdoctoral Training
Submit tables 1, 2, 3, 4, 5B, 6B, 7, 8B
Renewal or Revision Undergraduate Training
Submit tables: 1,2, 3, 4, 5D, 7, 8D
Renewal or Revision  Mixed Pre and Postdoctoral Training
Submit tables: 1, 2, 3, 4, 5A, 5B, 6A, 6B, 7, 8A, 8B
Renewal or Revision Mixed Short-Term and Predoctoral Training
Submit tables: 1, 2, 3, 4, 5A, 6A, 7, 8A, 8C
Renewal or Revision Mixed Short-Term and Postdoctoral Training
Submit Tables 1, 2, 3, 4, 5B, 6B, 7, 8B, 8C 
Renewal or Revision Mixed Short-Term Pre and Postdoctoral Training
Submit Tables 1, 2, 3, 4, 5A, 5B, 6A, 6B, 7, 8A, 8B, 8C
Renewal or Revision Short Term Training
Submit Tables: 1, 2, 3, 4, 6A, 7, 8B
Renewal or Revision International Training
 Submit Tables: 2I, 3I, 4I, 5I, 8I

NIH Data Tables

xTRACT or MS Word?

Applicants may create data tables for their applications and RPPR's either by using fillable MS word or xTRACT system.  xTRACT is not required (but highly recommended) for renewal applications.  

NIH xTRACT Policy
xTRACT  PPT

What is xTRACT?
Extramural Trainee Career Tracking System

  • eRA Commons web-based system that helps create data training tables for training grant applications and RPPR's.
  • Utilizes existing data to help pre-populate the system with information on trainees, faculty, and their other awards that NIH already has captured electronically.
Benefits of xTRACT
  • Makes trainee tracking (table 8) easier (especially for admin turnover).
  • NIH rePORTER information is automatically pulled in for participating faculty research support.
  • Calculations for Table 4 & 6  are done automatically.
  • Makes a renewal or resubmission much easier because it transfers Table 8 data from last RPPR submitted.
  • Auto formatting for publications.
Downsides of xTRACT 
  • Requires a LOT of data entry at the beginning.
  • Once you finalize your data tables you will still need to print, attach and submit with the RPPR or application.  It is NOT sent directly within eRA commons unlike the RPPR process.

Collecting and Leveraging Data

Step 1. Obtain the participating faculty list from your PD/PI.  

Step 2.  Obtain relevant department/program information.

Step 3.  Get organized

Organizing Checklist for New Applications
Organizing Checklist Renewal Applications

Step 4.  Send one succinct email to each participating faculty and/or their admin to request the below data. 

Request this information

  • Research interest 
  • Current Biosketch with mentoring statement in Word format.
  • Table 2 - mentoring information data for trainees.
  • Table 4 - research support
    • Look in rePORTER or xTRACT first, then include in the email to have it verified from the PI​.

Sample email to participating faculty

Tools
Google form -  email for access.
Fillable Excel

Renewals  

Table 5 & 8 - If faculty have had prior trainees on the grant:

  • Use PubMed to search for publications by trainee name and mentor (co-author) name. 
  • If they have current or previous trainees have them update their current positions.

Contact the training grant analyst if you want to know others submitting for the same deadline and leverage data from recent submissions. 

Look at prior RPPR's and Renewals to see if you can leverage any data. 

Do NOT ask admins or PI's for:

  • Data Table 1 - This will need to come from HR or the Graduate Department.
  • Data Table 3 -  Overlapping faculty and/or Current Training Grant List
  • Data Table 6 - GEPA or the program coordinator.  Wherever the applicant applied to the program.
    • JDP students apply to SDSU
  • Table 7 - Use prior trainee diversity reports from the RPPR and/or xTrain.

Data Table 1: Participating Departments

Census of Participating Departments and Interdepartmental Programs
  • Provides insight into the environment in which the proposed training will take place.
  • Does the program have the "critical mass" of trainees and faculty and, in the case of interdepartmental programs, representation/distribution of scientific disciplines, to be effective.
  • Detailed data on training program candidates, entrants, and appointees for participating departments and programs are collected in a parallel fashion on Table 6.

NEW - Applicants are expected to provide data only for the training stage(s) reflected in the proposed program.

  • Predoc training must complete Part I (Predocs). Do not include Part II (Postdocs).
  • Postdocs training must complete Part II (Postdocs). Do not include Part I (Predocs).
  • Both predoc and postdoc training must complete Parts I and II.
Part I:   Predocs
Participating Department or Program
Total Faculty
Participating Faculty
Total
Predoctorates
Total Predoctorates Supported by any HHS Training Award
Total
Predoctorates with Participating Faculty
Eligible
Predoctorates with Participating Faculty
TGE
Predoctorates Supported by this Training Grant (Renewals/ Revisions) 
Predoctorates Supported by this Training Grant (R90 Only Renewals/ Revisions)
Department of Chemistry
45
14
38
15
12
6
2
0
Neuroscience Grad Program 
32
20
31
20
14
7
4
1
Biomedical Sciences Grad Program
25
5
30
10
5
3
3
0
Total
102
39
99
45
31
16
9
1

Part II:  Postdocs
Participating Department or Program
Total Faculty
Participating Faculty
Total 
Postdoctorates
Total Postdoctorates Supported by any HHS Training Award
Total Postdoctorates with Participating Faculty
Eligible Postdoctorates with Participating Faculty
TGE Postdoctorates Supported by this Training Grant (Renewals/ Revisions) 
Postdoctorates Supported by this Training Grant (R90 Only Renewals/ Revisions)
Department of Biochemistry 
45
14
24
10
9
5
2
0
Neurosciences
32
20
27
20
12
5
3
1
Department of Pharmacology 
25
5
15
8
5
3
2
0
Total
102
39
66
38
26
13
7
1

Instructions and Collection Tips

Column 1.
Participating Dept. or Program
Participating faculty members departments (As listed in Table 2).
Column 2.
Contact HR or check the specific dept or program website.
 
Column 3.
Participating Faculty
Number of participating faculty on this grant (calculate based on your Table 2).
Column 4.
Total Pre or Postdocs
Contact HR or check the specific dept or program website.  
Column 5.
Total Pre or Postdocs on a HHS (T32 or F series) Award
Check NIH Reporter for F or T series grants, then sort by dept.  Check the Current TG list and sort by dept or slot info for T series.
Column 6.
Total Pre or Postdocs
Amount of postdocs or predocs being mentored from all the participating members. (calculate based on your Table 2 sorted by dept).  Include non-citizens.
Column 7.
TGE Pre or Postdocs with Participating Faculty
Citizenship info needs to come from HR or graduate program.  Non-citizens are not included.
Column 8.
TGE Pre or Postdocs Supported on this TG
Renewals only.  List amount of trainees appointed from each dept or program.  This total number should equal to the amount of awarded trainees.
Column 9.
Pre or Postdocs on this TG on a R90
UCSD does not have any R90 grants.  N/A - should be 0
  • TGE - Training Grant eligible is defined as U.S citizens, non-citizen national and permanent residents.
  • The total amount of faculty should add up to the amount of faculty listed in Table 2.  
    • For the example above in column 3, total of 14 faculty listed in Table 2 are in the Dept. of Chemistry.
  • The total amount of pre or postdocs should be the add up to the amounts listed in Table 2.
    • For the example above in column 4, total of 38 predocs (24 postdocs) within the 14 Dept of Chemistry participating faculty members labs in Table 2.
  • In xTRACT, you can edit Total Faculty and Participating Faculty under "Training Support & Summary" under Census Totals.
  • Use the organizing checklist to calculate mentor totals by department.

FAQ's

Q. What if my faculty mentor has a split appointment?
A.  Only count them in one dept. or program, not both.

Q.  Do I need to fill out both section if I only have predocs (or vice versa?)  
A.  No, as of 1/25/25 you will be expected to provide data only for the training stage(s) reflected in the proposed program.

Data Table 2: Participating Faculty

Participating Faculty Members

An evaluation of the experience of participating faculty in facilitating the progression of trainees at the stage of the proposed program in their careers.

Assess the distribution of participating faculty by:

  • Rank (Junior vs. Senior)
  • Research interests
  • Department or interdepartmental program
  • Diversity and Gender
  • Partner organizations (as applicable)

Timeline - Mentoring Records required for the last 10 years.

NEW - Record of Trainee Career Progression (Items 7-12).
Applicants are expected to provide data that are relevant to the training stage(s) in the proposed program and the career progression of trainees supported by the Participating Faculty members.

  • Predoc research training must complete items 7-9 and should omit information on postdoc training outcomes.
  • Postdoc research training must complete items 10-12 and should omit information on predoc training outcomes.
  • Both predoc and postdoc training must complete items 7-12.
Name
Degree(s)
Rank
Primary Department or Program
Research Interest
Training Role
Predocs
In Training
Predocs
Graduated
Predocs
Continued in Research or Related Careers
Postdocs In Training
Postdocs
Completed Training
Postdocs
Continued
in
Research
or Related Careers
Abrams-Johnson, Jane
PhD
Asst. Prof.
Pharmacology
Regulation of Synthesis of Biogenic Amines
Preceptor
1
2
2
1
0
0
Jones, Lisa S.
PhD
Res. Asst. Prof.
Biochemistry
Protein Structure, Folding, and Immunogenicity
Preceptor
Exec Comm
3
3
3
4
2
2
Sandoz, Miguel J.
MD, PhD
Assoc. Prof.
Neuroscience
Developmental Genetics in Drosophila
Preceptor
4
6
5
4
8
6

Part II. Participating Faculty Members at Partner Organizations (Partnership Programs)

Name
Degree(s)
Rank
Organization
(Primary
Department or Program)
Research Interest
Training Role
Predocs
In Training
Predocs
Graduated
Predocs
Continued in Research or Related Careers
Postdocs In Training
Postdocs
Completed Training
Postdocs
Continued
in
Research
or Related Careers
Rodriguez,
Leticia M.
PhD
Asst. Prof.
Partnership
University
(Bioengineering)
Regulation of Synthesis of Biogenic Amines
Preceptor
1
2
2
1
0
0
Johnson,
River J.
MD, PhD
Assoc. Prof.
Partnership
University
(Population
Science)
Developmental Genetics in Drosophila
Preceptor
4
6
5
4
8
6
Thomas, James C.
PhD
Prof.
Partnership
University
(Gerontology)
Molecular and Genetic Analysis of RNA Viruses
PD/PI
7
10
9
8
15
14
Instructions and Collection Tips - Mentoring info will NEED to come from each individual mentor.
Column 1.
Name
Last name, First name, Middle Initial format
Column 2.
Degree
List terminal degree.  
Column 3.
Rank
Check in Blink, UC Profiles or UC Path.  Outdated biosketches may be incorrect, so make sure your tables and biosketch are consistent.
Column 4.
Primary Department or Program or Partner Organization
List (one only) primary department.  Check in Blink, UC Profiles or UC Path
Column 5.
Research Interest
Often found on lab website of faculty member.  Must be relevant to this application.
Column 6.
Training Role
PD/PI, Preceptor (Mentor), Executive Committee member (Exec. Comm.), Other Committee member (Other Comm.), Other.
Column 7/10.
Pre or Post in Training
Do not include MS, or Undergrads, only predoc candidates.
Column 8/11.
Pre or Post Completed Training
Those completed training in the last 10 years.
Column 9/12.
Pre or Post continued into research or related careers
Research or related careers include:  teaching, administering research or higher education programs, science policy and tech transfer. Any activity which involves the design of experiments, development of protocols, collection and interpretation of data, review or administration of original research, providing scientific direction, guidance to research, and analytic or other technical activities conducted in direct support of research and they may qualify if a doctorate degree or relevant research experience is a prerequisite for the activity. Such activity may take place in agencies such as NIH, FDA, NSF, or in a commercial setting including biotechnology or pharmaceutical companies.
  • Check with the campus training grant analyst if they have information on recent faculty records.
  • Do not include students that are participating in research or clinical rotations.
  • Make sure the faculty biosketch rank is consistent with column 3 in Table 2.

FAQ's

Q. Should predocs and postdocs who are non-citizens on temporary visas be included in the counts?
A. Yes, all predocs and postdocs in full-time research training under the supervision of participating faculty should be reported.

Q. Can I list more than one department?
A. No, if the faculty has a dual appointment, work with your PI to determine the dominate appointment applicable to this application.                     

Q. Should I include past faculty in a Renewal application?
A. No, they want to assess current training faculty.

Data Table 3: Institutional Research Training Grants

Federal Institutional Research Training Grants and Related Support Available to Participating Faculty Members
  • Current level of support for related research training
  • Assess Overlap in participating faculty on other UCSD TG's
  • Used to assess the institutional environment and determine the number of training positions to be awarded
Grant Title
Award Number
Project Period
PD/PI
Number of Predoc Positions
Number of Postdoc Positions
Number of Short-Term Positions
Number of Participating Faculty (Number Overlapping)
Names of Overlapping Faculty
Bioimmunotherapy Training Grant
T32 CA05964-11
07/2011-06/2016
Thomas, James C.
12
0
0
25 (6)
Abelson
Brown
Fields
Johnson
Sung
Watson
Genetic Basis of Mental Illness
T32 MH02708-07
07/2010-06/2015
Johnson, Albert P.
4
4
2
7 (2)
Johnson
Watson
Research Education Program for Residents in Psychiatry
R25 MH09876-06
07/2013-06/2018
Mendez, V. Roberto
0
6
0
33 (3)
Mendez
Rivers
Truesdale
Career Development in Pediatric Mental Health
K12 HD01234-09
07/2012-06/2017
Sterman, Patricia S.
0
4
0
19 (1)
Rubin
Total
 
 
 
16
14
2
 
 

Instructions and Collection Tips

Column 1.
Grant Title
Column 2.
Award Number
Format:  T32CA05964-11
Column 3.
Entire project period
Format:  07/2011-06/2016
Column 4.
PD/PI Names
Include Middle Initial
Column 5.
Number of predoc positions
Column 6.
Number of postdoc positions
Column 7.
Number of short term positions
Column 8.
List the number of faculty on training grant (in parenthesis the amount the overlap)
25 (5)
Column 9.
List overlapping faculty names
  • In xTRACT, enter this data under "Training Support & Summary."
  • Use the Overlapping Faculty ("Mentor Title Dates Slots" tab) list to compare the faculty listed on your program with all the other training grants on the campus. Then list all the overlapping grants in table 3.
  • On the "Title and # of Faculty" tab the amount of participating faculty per training grant are listed.
  • Reminder, do NOT ask your PI or admins for this institutional data, see above.

FAQ's

Q. Are only NIH grants included in Table 3?
A. No, all federal training grants should be included (not just NIH)

Q. Are only T32’s listed?
A. No, all of federal institutional training (e.g., NIH T32, T35, T34, AHRQ T32), career development, and research education (e.g., NIH R25, 12/KL2, TL1) support available to the participating faculty members

Data Table 4: Active Research Support of Participating Faculty Members

Active Research Support of Participating Faculty Members

  • Provides evidence of the strength of the research environment.
  • The availability of funds to support research conducted by the trainees.
Faculty Member
Funding Source
Grant Number
Role on Project
Grant Title
Project Period
Current Year Direct Costs
Jones, Janine L.
NIH
1 R01 GM76259-01
PD/PI
Structure and Function of Acetylcholine Receptors
06/2020-05/2025
$190,000
Ehlers, Roger G.
Univ
 
PD/PI
University start-up funds
08/2021-07/2024
$350,000
Mack, Thomas R.
Fdn
 
PD/PI
Control of Angiogenesis
03/2021-02/2025
$185,000
Mack, Thomas R.
NSF
PCM 80-12935
PD/PI
Cell Culture Center
12/2022-11/2025
$180,000
Mack, Thomas R.
NIH
1 P01 HL71802-05
Project PI
Subproject 4: Oncogenic Kit Receptor Signaling in vivo
10/2021-09/2025
$165,000
Smith, James P.
None
 
 
 
 
 
Zachary, Andrew
NIH
1 U01 AI28507-02
PD/PI
Human Monoclonal Antibodies as a Therapy for Staphylococcal Enterotoxin
07/2023-06/2028
$200,000
Average Grant Support per Participating Faculty Member
 
 
 
 
 
$282,000

NEW Part II (As applicable), Partner Organization

Faculty Member
Organization
Funding Source
Grant Number
Role on Project
Grant Title
Project Period
Current Year Direct Costs
Jones, Janine L.
Partnership
University
NIH
1 R01 GM76259-01
PD/PI
Structure and Function of Acetylcholine Receptors
06/2024-05/2028
$190,000
Jones, Janine L.
Partnership
University
NIH
5 K08 AI00091-03
PD/PI
Purification & Identification of Receptors
11/2022-11/2027
$140,000
Ehlers, Roger G.
Partnership
University
Univ
 
PD/PI
University start-up funds
08/2024-07/2027
$350,000
Average Grant Support per Participating Faculty Member
 
 
 
 
 
 
$282,000

Instructions and Collection Tips

Column 1.
List participating faculty 
List in alphabetical order by last name.
Column 2.
Fund sources such as NIH, NSF, Other Federal (Other Fed), University (Univ), Foundation (Fdn), or other.  If no research support, state "none."  
Exclude applications pending review, administrative or competitive supplements, and awards in no-cost extension status.
Column 3.
Grant Number
Exclude training grants, institutional career development grants and research education grants.
Column 4.
Role On Project
PD/PI, MPI or Center Project PI only.  If subaward "Sub-PI."
Column 5.
Grant Title
Column 6.
Entire project period
Format: MM/YYYY-MM/YYYY
Column 7.
Direct cost for current budget period
  • Often in xTRACT, NIH funding will not list the correct amount (especially if a large project) and this will be imported automatically and is (unfortunately) NOT editable.
  • Often gift or industry funds there aren't grant numbers, try putting the name of the company.  I.e.  Pfizer, Ionis, etc.
  • In xTRACT, expired research support may still be listed under "Other Sources of Support."  Review as applicable to delete or update end dates.

FAQ's

Q. Does Table 4 only include active research support?
     A. Yes. No pending should be listed.

Q. Should co-PI funding be included for participating faculty?
      A. If a faculty member is a co-PI of a multi-PI award (i.e. P30 or PPG), they can be listed but otherwise the answer is no​.

Data Table 5: Publications of Trainees Supported by this Program

Publications of Trainees Supported by this Program
  • Provides data about the potential of the training program to foster trainees’ ability to conduct rigorous research that advanced scientific knowledge and technologies with increasing self-direction (i.e., publishable results).
5A Predocs
5B Postdocs
  • List sequentially, by year of entry
  • These individuals should match the individuals listed in Table 8.
New Applications
  • Trainees that would have been eligible for appointment to the training program if it were available for the last 5 years (NEW, was 10 years.)

Renewal Applications

  • Outcomes of trainees supported on the training grant for the last 10 years.
Trainee Name
Faculty Member
Past or Current Trainee
Training Period
Publication (Authors, Year, Title, Journal, Volume, Inclusive Pages)
Berg, Lawrence P.
Thompson, Patricia P.
Past
2018-2024
Miter, M.H., Owens, R., Thompson, P., and Berg, L., 2004, Insulin Treatment of Diabetic Rats, J Comp Neurol, 373:350-378.
Chu, Jeremy K.
Greenstein, Michael L.
Past
2018-2024
Greenstein, M., and Chu, J., 2010, Sympathetic Noradrenergic Innervation of Drosophila, Genetics185: 1100-1190.
Patel, Sanjay
Brown, Bernice B.
Current
2023-Present
Brown, B. and Chu, J., 2012, Repeated Sequences in Drosophila, J Mol Biol, 242:503-510.
Layback, Sally G.
Wand, Dennis R.
Past
2020-2021
No Publications: Left program
Peters, Mark Q.
Samuels, Janine A.
Current
2020-Present
Samuels, J. and Peters M., 2012, Molecular Analysis of RNA Viruses, Molec Biol Cell, 11:12-18.

Instructions and Collection Tips

Column 1.
Trainee Name
Last name, First, Middle Initial
Column 2.
List Faculty Member(s) of trainee
Can list up to two mentors. NEW
Indicate previous participating faculty who are no longer part of the program with an asterisk (*). NEW
Usually a co-author on the publication with trainee.
Column 3.
Current or Past Trainee
Column 4.
Training Period
Present:  YYYY-Present
Past: YYYY-YYYY
Column 5.
Publication Citation
Boldface the trainee's name in the author list
  • Use Pubmed -  search by trainee and/or mentor, sort by applicable date.
  • https://projectreporter.nih.gov/reporter.cfm   - Search by grant, then look under publications.  This lists all associated publications to this grant from inception.
  • Do not list publications resulting from work done prior to entering the training program or arising from research initiated after the completion of the program.  Only list those publications resulting from their period of training or in association with the current training program, through completion of their degree.
    • This can be subjective, for example is it the graduate program or training (grant) program? What if a trainee published a paper with the mentor before being appointed to the training grant?  Discuss with your PI or other stakeholders.
  • Often a good indicator if a publication is applicable if the mentor is a co-author on the publication.
  • If the trainee does not have publications, indicate "no publications" with a reason.  New entrant, leave of absence, changed advisor, left program, or other.  Trainees are considered "new" for the first two years.
  • Applicants may also include interim research products which the trainee contributed to (preprints), but should exclude these if related work has been published or accepted for publication as a peer reviewed manuscript (in such cases, include only the final, peer-reviewed publication).
  • For adding publications in xTRACT, go to "participating trainees" and "publications."  (They are not imported from MyNCBI unlike the RPPR.)  
    • Adding one publication at a time by PMCID, PMID or author unfortunately can be tedious for trainees with many publications.
      • To add multiple publications at one time, search by author first and last name, sort by applicable date and "tick" as appropriate to include in RTD.
  • As of 1/25/25 - the rational of the table has changed and you can add publications for trainees even if their mentor is no longer participating on the proposed application.

Data Table 6: Training Program Candidates, Entrants, and Their Characteristics

Training Program Candidates, Entrants, and their Characteristics (NEW Format)

6A Predocs 
6B Postdocs

Permit the evaluation of the ability of participating departments/interdepartmental programs to recruit trainees. 

This data is useful in assessing:

  • Appropriate number of training positions to be awarded
  • Characteristics of program entrants
  • For renewals, training grant appointees

6A Predocs: Counts and Characteristics

Data is for the last 5 academic years

Most Recently Completed Year: 2023-2024
Total Training
Program
Candidates -
Applied
Training
Program
Candidates
Eligible for Support
New Entrants to the Program
New Entrants Eligible for Support
New Appointees to this Grant (Renewal/Revision Applications Only)
Department of Chemistry
45
30
6
3
2
Department of Molecular & Cell Biology
30
19
5
4
3
Neurosciences Graduate Program
12
9
5
5
4
Total
87
58
16
12
9
Percent from Underrepresented
Groups
 
 
19%
25%
23%

Instructions and Collection Tips

Column 2.
Total Training Program Candidates – Applied
Number of individuals who formally applied for training
Column 3.
Total Training Program Candidates – Eligible for Support
Exclude non citizens
Column 4.
New Entrants to Program 
Column 5.
New Entrants Eligible for Support (TGE) 
Exclude non citizens
Column 6.
Renewals only:  New appointees to this TG

6B. Postdocs: Counts and Characteristics

Data is for the last 5 academic or grant cycle years.

Most Recently Completed Year: 2023-2024
Total Training
Program
Candidates -
Applied
Training
Program
Candidates
Eligible for Support
New Entrants to the Program
New Entrants Eligible for Support
New Appointees to this Grant (Renewal/Revision Applications Only)
PhDs
25
15
6
5
4
MDs
4
1
0
0
0
Dual-Degree Holders
3
3
2
2
2
Other Degree Holders
0
0
0
0
0
Total
32
19
8
7
6
Percent from Underrepresented
Groups
 
 
33%
50%
50%

Instructions and Collection Tips

Column 2.
Total Applicant Pool for each type of degree holder
Column 3.
Applicants Eligible for Support (TGE) by degree
Exclude non citizens
Column 4.
New Entrants to Program by degree
Column 5.
New Entrants Eligible for Support (TGE) by degree
Exclude non citizens
Column 6.
Renewals only:  New appointees to this TG by degree
  • Percent from Underrepresented Groups
    • For columns 4-6, enter the percent of individuals from groups that are underrepresented in the biomedical, clinical, behavioral or social sciences, such as individuals from underrepresented racial or ethnic groups, individuals with disabilities, or individuals from disadvantaged backgrounds as described in NIH’s Notice of Interest in Diversity.
  • If the departments, divisions, or programs do not collect information on all the groups identified in NIH’s Notice of Interest in Diversity, enter data on the groups for which info is available.
  • In the final section, provide the mean count for each column.
  • For predoc programs and dept counts contact the campus training grant analyst.
  • For postdocs, The Research Scholars Appointment System (RSAS) (SSO required - postdoc database managed by GEPA) only collects data for those that were hired at UCSD, not candidate data.  It has citizenship information.
  • It is up to each individual training program to collect this data.  If you are not currently collecting this data, start tracking your trainees and applicants for the next renewal.
  • If you would like access to a "research interest" form postdocs can fill out when applying for your program - contact the campus training grant analyst.
  • Clinical Residency Programs use the Match system.  Contact the residency coordinator through OGME and they can guide you to access a report.

FAQ's

Q. What should we do if we don’t have all the postdoc data?
A.  Provide as much as data as reasonably possible, and begin collecting the relevant information, so that it will be available in the future.  Work within reason.

Data Table 7: Appointments to the Training Grant (Renewal/Revision Applications Only)

Appointments to the Training Grant (Renewal/Revision Applications Only)

Provide the counts for each completed budget year:
  • Awarded Positions for the last 5 years
  • Appointed Positions for the last 5 years
  • Counts by degree level and diverse backgrounds
Training Positions
Budget Year 01
Budget Year 02
Budget Year 03
Budget Year 04
Sum of Budget Years
Predoctoral Awarded
8
8
8
8
32
Predoctoral Appointed
8
8
8
8
32
Predoc: Dual-Degree
0
0
1
1
2
Predoc: Underrepresented Groups
0
5
2
2
9
Postdoctoral Awarded
4
4
4
4
16
Postdoctoral Appointed
4
4
4
4
16
Postdoc: M.D. or Equivalent
0
1
0
1
2
Postdoc: Ph.D. or Equivalent
3
1
3
3
10
Postdoc: D.D.S., D.V.M., Other
1
1
0
0
2
Postdoc: Dual Degree
0
1
1
0
2
Postdoc: Underrepresented Groups
0
0
0
0
0
Short-Term Awarded
8
8
6
7
29
Short-Term Appointed
7
6
6
7
26
Short-Term: Underrepresented Groups
2
2
1
2
7

Instructions and Collection Tips

For each budget year list the awarded and appointed amounts per each category.  In xTRACT, edit trainee positions appointed under "appointments."  Awarded positions can not be edited.

  • If you have access to NIH xTRAIN for your program then you can view the grant detail for current and previous years.  Clicking on the award number for the "Award Summary" will show all the slots awarded and appointed per year.  Or you can "view trainee roster," for more detailed information. Clicking on the trainee name you can access the PHS form 2271 which will have prior degree information.
  • If the training program does not collect information on all the groups identified in NIH’s Notice of Interest in Diversity, enter data on the groups for which information is available.
  • Look at previous RPPR’s, on the "trainee diversity form."  
  • Notice of Awards (NOA) will have awarded slots by year, but not appointed.
  • Awarded slots and appointed numbers should match.

Data Table 8: Program Outcomes

Program Outcomes

Provides info on the effectiveness of the proposed training program.

8A Predocs

8B Postdocs
8C Short Term

Part I. Those appointed to the Training Grant (Renewals) - Current trainees from entire project period.
Part II. Recent Graduates (New)  - 
List students who graduated in the last 5 years but who would have been eligible for this T32, if it existed.
Part III. Program Statistics (Predocs Only)

8A - Predocs

Trainee
Faculty Member
Start Date
Summary of Support During Training
Terminal Degree(s) Received and Year(s)
Topic of Research Project
Initial Position
Current Position
Subsequent Grant(s)/ Role/Year Awarded
Cox, Charles C.
Doe, John Smith, Jerry
09/2013
TY 1:  HL T32
TY 2:  HL T32
TY 3:  HL F30
TY 4:  HL F30
TY 5:  HL F30
TY 6:  Fdn RA
M.D./Ph.D., 2023
The role of Notch in blood vessel maturation
Resident
Internal Medicine
Emory University
Academia
Further Training
Assistant Professor
Hematology
Rutgers University
Academia
Research-Related
HL K23/PI/2011
HL P01/Co-I/2014
Johnson, Gina R.
Doe, John
09/2015
TY 1:  NSF F
TY 2:  NSF F
TY 3:  NSF F
TY 4:  HL T32
TY 5:  HL T32
TY 6:  GM R01
Ph.D. 2021
Interactions between circadian rhythms, sleep & metabolism
Postdoctoral Fellow
Molecular Biology
UC San Francisco
Academia
Further Training
Research Associate
Molecular Biology
UC San Francisco
Academia
Primarily Research
HL F32/PI/2005
GM R01/Staff Scientist/2011
Phelps, Ryan
Vasquez, Richard
09/2017
TY 1:  HL T32
TY 2:  HL T32
Ph.D. 2023
Viral infections
Laboratory Technician
Parke-Davis
For-profit
Primarily Research
Laboratory Manager
Pfizer
For-profit
Primarily Research
 

Instructions and Collection Tips

Column 1.
Trainee Name
Column 2.
Up to 2 mentors may be listed
Column 3.
Start Date 
Start of graduate or Postdoc program, not the start of the training grant appointment
Column 4.
Summary of support During Training
(Renewals only), Not just when on the TG, but all years of their program
Column 5.
Terminal Degree / Degree Received in Training 
Column 6.
Research topic
Check dissertation at eScholarships
Column 7.
Initial position after leaving the program
Include Workforce Sector (Non-profit, For profit, Academia, government, other).  Include Principal Activity (Primary research, Research related, Clinical, Teaching, further training, etc).
Column 8.
Current position
If individuals have held only one position, complete only the initial column.  
Column 9.
Subsequent Grants or fellowships with role
If NIH, it will appear automatically in the RTD, tick the correct box as applicable.

8B- Postdocs

Trainee
Doctoral Degree(s) and Year(s)
Faculty Member
Start Date
Summary of Support During Training
Degree(s) Resulting from Postdoctoral Training and Year(s)
Topic of Research Project
Initial Position
Current Position
Subsequent Grant(s)/Role/ Year Awarded
Sanchez, Gregory B.
PhD 2007
Brown, James
07/2017
TY 1: HL T32
TY 2: HL T32
TY 3: CA R01
TY 4: CA R01
None
Uterine cancer and developmental biology
Staff Scientist
Radiology
MGH
Academia
Primarily Research
Assistant Professor
Radiology
University of Arizona
Academia
Primarily Research
CA K99/PI/2011
CA R00/PI/2013
Milligan, Clare
MD 2003
PhD 2003
Doe, John
08/2018
TY 1: HL T32
TY 2: HL T32
MPH 2019
Molecular and functional dissection of hematopoietic stem cell niche
Instructor
Internal Medicine
Columbia
Academia
Primarily Research
Associate Professor
Hematology
Rutgers
Academia
Primarily Research
DK K08/PI/2011
DK R01/ Faculty Collaborator/2013

Instructions and Collection Tips

Column 1.
Trainee Name
Column 2.
Degree Received and Year
Column 3.
Faculty Mentor Name
Up to 2 mentors may be listed
Column 4.
Start Date 
Start of graduate or Postdoc program, not the start of the training grant appointment.
Column 5.
Summary of support During Training
(Renewals only), Not just when on the TG, but all years of their program.
Column 5.
Degree resulting from Training
Usually None for postdocs
Column 6.
Research topic
Predocs - check dissertation at eScholarships
Column 7.
Initial position after leaving the program
Include Workforce Sector (Non-profit, For profit, Academia, government, other).  Include Principal Activity (Primary research, Research related, Clinical, Teaching, further training, etc)
Column 8.
Current position
If individuals have held only one position, complete only the initial column.  
Column 9.
Subsequent Grants or fellowships with role
If NIH, it will appear automatically in the RTD, tick the correct box as applicable.

8C Short Term

Trainee
Category of Trainee
Faculty Members
Start Date
Topic of Research Project
Subsequent Grant(s)/Role/ Year Awarded
Liu, Peter
Medical Student
Brown, James
07/2017
Uterine cancer and developmental biology
CA K99/PI/2011CA R00/PI/2013
Holmes, William
Medical Student
Doe, John
07/2021
Study of Nonaccidental Brain Trauma
HD K12/Scholar/2023

Instructions and Collection Tips

Column 1.
Trainee Name
Column 2.
Category of Trainee
Medical Student, Dental Student, Veterinary Student, Other Health Professional Student, orQuantitative Sciences Student
Column 3.
Faculty Mentor Names
Up to 2 mentors may be listed
Column 4.
Start Date into program
Start of graduate or Postdoc program, not the start of the training grant appointment.
Column 5.
Research Project
Column 6.
Subsequent Grants or fellowships with role
If NIH, it will appear automatically in the RTD, tick the correct box as applicable.

Part III. Program Statistics (Predocs Only)

Percentage of Trainees Entering Graduate School 10 Years Ago Who Completed the PhD
Average Time to PhD for Trainees in the Last 10 Years
50.2%
6.5 years
  • Not applicable for new applications.
  • Percentage of Trainees Entering Graduate School 10 Years Ago Who Completed the PhD
    • A training grant’s completion rate should be calculated based on students entering the institution’s graduate programs ten years prior to the reporting year.
  • Average Time to PhD for Trainees in the Last 10 Years (not including leaves of absence)
    • When reporting for 2024-2025, programs should report on the percentage of students that began graduate studies at their institution ten years earlier (i.e., academic year 2014-2015) and that were supported by the training grant at any point within that 10-year timeframe. If all of those students have completed a Ph.D. by the ten-year mark, the completion rate will be 100%.
    • If some students have left the program without a Ph.D., the completion rate should be reduced accordingly.
    • Individuals transferring to or from Ph.D. programs in similar fields at other institutions should be excluded from both the entering and graduating cohorts in calculating completion and time to degree.
  • Look up historical employer and education info in LinkedIn, Google or other Social Media.
  • Contact the trainee directly if you have current email address.
  • Send out an annual survey to past trainees (Renewals and RPPR's only).
  • For renewals, in xTRACT, you have the option to copy over prior RPPR Table 8 data, then just update as applicable. 

Renewals/Resubmission

  • Check previous RPPR's for information.

New applications

  • Obtain names for new applications by asking the participating faculty or for predocs contact the graduate department for a list of names.

FAQ's

Q. How do you define a trainee?
A. “Trainee” may refer to both predoc and postdoc individuals, regardless of their source of support. Trainee also refers more specifically to individuals appointed to a particular training program, currently or previously appointed to this grant.

Q. For predocs, where should subsequent fellowship awards be reported?
A. In Table 8A, if a predoc receives a fellowship during graduate school, it should be reported in the “Summary of Support During Training.” If a predoc goes on to receive a fellowship after completing graduate school, it should be reported under “Subsequent Grant(s)/Role/Year Awarded."

Predoc NIGMS Suggested Data Formats A & B

Data Table A:  NIGMS Predoc Applications Only

Contact Jill Vampola for Table A or B Data from GEPA

NIGMS no longer requires Training Table 6A in its Predoc T32 applications 

  • ​In order 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.
The Baseline Data on the Trainee Pool must be combined with other required attachments (such as the Recruitment Plan to Enhance Diversity, Trainee Retention Plan, etc.) and uploaded to “Other Project Information” of the PHS 398 Program Plan and must not be included in the Data Table section.

​Rationale

The application must provide baseline data on the characteristics of the trainee pool. The data must reflect the training grant eligible individuals who further the goals of the proposed research training program. The data serve as a basis for review of planned activities, including recruitment.  The number of training grant eligible candidates will be used to determine the appropriate budget and number of funded positions. Applicants are encouraged to report on the categories described in the Notice of NIH's Interest in Diversity or in the NIH Trainee Diversity Report. NIGMS will use the data provided in a manner consistent with applicable law.

Instructions

Provide the total numbers and characteristics of training grant eligible (TGE) candidates (individuals) training program or relevant departments described in the application for each of the past five academic years who:
  • Part I.   Applied
  • Part II.  Admitted
  • Part III. Matriculated for each of the past 5 academic years as well as the av​enrage over those years. ​​
Applicants are encouraged to use the Suggested Table Formats A below to organize the data (see sample table below).
  • Applicants may expand categories or add additional characteristics according to the proposed program goals.
  • TGE individuals must be a citizen or a non-citizen national of the United States or have been lawfully admitted for permanent residence at the time of appointment.
  • Demographic data should be based on voluntary self-reporting.
  • Applicants should use appropriate methods for data privacy, confidentiality, and security practices related to student data systems and reporting (for example, appropriate cell sizes for sensitive data). Below are recommend columns.
  • In the final row, provide the average for each column.
Ac Yr
TotalApplicants
URM
Applicants with Disabilities
Applicants from Disadvantaged Backgrounds
Women
Institutionally Defined
2014-15
399
80
20
72
239
n/a
2015-16
384
77
19
69
230
n/a
2016-17
489
98
24
88
293
n/a
2017-18
342
68
17
62
205
n/a
2018-19
438
88
22
79
263
n/a
Avg
410
82
21
74
246
n/a

Instructions and Collection Tips

Column 1.
Academic Year
Last 5 academic years.
Column 2.
Total Number of TGE Individuals
Exclude Non-citizens.
Column 3.
Number from Underrepresented Racial and Ethnic (UR) Groups.
NOT-OD-20-031
Column 4.
Number with a Disability
Column 5.
Number from Disadvantaged Backgrounds
NOT-OD-20-031
Column 6.
Number of women
Column 7.
Number of individuals from an institutionally defined group(s).
NOT-OD-20-031

You will need three tables in the above format:  Applied, Admitted and Matriculated.

Multi-component Program Data
Applicants are encouraged to use the Suggested Table Formats B (see examples below) to organize the multi-component data. Below are the recommended columns. In the final row, provide the average for each column.

Ac Yr
Total TGE
Individuals – Applied
Biology
Chemistry
Physics
Computer Science
Engineering
2018-19
399
204
51
36
48
60
2019-20
384
195
51
36
45
57
2020-21
489
249
63
45
60
72
2021-22
342
174
45
30
42
51
2022-23
438
222
57
39
54
66
Avg
410
209
53
37
50
61
You will need three tables in the above format:  Applied, Admitted and Matriculated.
Contact Jill Vampola for Table A or B Data from GEPA

Resources