Data Tables
NIH Updates to Data Tables 5/31/2024Preview 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?
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.
- Participating Departments
- Training Faculty
- Program Outcomes
- 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 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.
- 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.
- Use of awarded training positions.
What tables 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.
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.
- 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.
- 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
Part II: Postdocs
Q. What if my faculty mentor has a split appointment?
Q. Do I need to fill out both section if I only have predocs (or vice versa?)
- 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.
Participating Department or Program |
Total Faculty |
Participating Faculty |
Total
|
Total Predoctorates Supported by any HHS Training Award |
Total
|
Eligible
|
TGE
|
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
|
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
|
Predocs
|
Predocs
|
Postdocs In Training |
Postdocs
|
Postdocs
|
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
|
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
|
Research Interest |
Training Role |
Predocs
|
Predocs
|
Predocs
|
Postdocs In Training |
Postdocs
|
Postdocs
|
Rodriguez,
|
PhD |
Asst. Prof. |
Partnership
|
Regulation of Synthesis of Biogenic Amines |
Preceptor |
1 |
2 |
2 |
1 |
0 |
0 |
Johnson,
|
MD, PhD |
Assoc. Prof. |
Partnership
|
Developmental Genetics in Drosophila |
Preceptor |
4 |
6 |
5 |
4 |
8 |
6 |
Thomas, James C. |
PhD |
Prof. |
Partnership
|
Molecular and Genetic Analysis of RNA Viruses |
PD/PI |
7 |
10 |
9 |
8 |
15 |
14 |
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
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
- 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
|
Genetic Basis of Mental Illness |
T32 MH02708-07 |
07/2010-06/2015 |
Johnson, Albert P. |
4 |
4 |
2 |
7 (2) |
Johnson
|
Research Education Program for Residents in Psychiatry |
R25 MH09876-06 |
07/2013-06/2018 |
Mendez, V. Roberto |
0 |
6 |
0 |
33 (3) |
MendezRiversTruesdale |
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
|
NIH |
1 R01 GM76259-01 |
PD/PI |
Structure and Function of Acetylcholine Receptors |
06/2024-05/2028 |
$190,000 |
Jones, Janine L. |
Partnership
|
NIH |
5 K08 AI00091-03 |
PD/PI |
Purification & Identification of Receptors |
11/2022-11/2027 |
$140,000 |
Ehlers, Roger G. |
Partnership
|
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
New Applications
- 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
5B Postdocs
- List sequentially, by year of entry
- These individuals should match the individuals listed in Table 8.
- 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. NEWIndicate previous participating faculty who are no longer part of the program with an asterisk (*). NEWUsually a co-author on the publication with trainee. |
Column 3. |
Current or Past Trainee |
|
Column 4. |
Training Period |
Present: YYYY-PresentPast: 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.
- Adding one publication at a time by PMCID, PMID or author unfortunately can be tedious for trainees with many publications.
- 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
|
Training
|
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
|
|
|
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
|
Training
|
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
|
|
|
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:
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 T32TY 2: HL T32TY 3: HL F30TY 4: HL F30TY 5: HL F30TY 6: Fdn RA |
M.D./Ph.D., 2023 |
The role of Notch in blood vessel maturation |
ResidentInternal MedicineEmory UniversityAcademiaFurther Training |
Assistant ProfessorHematologyRutgers UniversityAcademiaResearch-Related |
HL K23/PI/2011HL P01/Co-I/2014 |
Johnson, Gina R. |
Doe, John |
09/2015 |
TY 1: NSF FTY 2: NSF FTY 3: NSF FTY 4: HL T32TY 5: HL T32TY 6: GM R01 |
Ph.D. 2021 |
Interactions between circadian rhythms, sleep & metabolism |
Postdoctoral FellowMolecular BiologyUC San FranciscoAcademiaFurther Training |
Research AssociateMolecular BiologyUC San FranciscoAcademiaPrimarily Research |
HL F32/PI/2005GM R01/Staff Scientist/2011 |
Phelps, Ryan |
Vasquez, Richard |
09/2017 |
TY 1: HL T32TY 2: HL T32 |
Ph.D. 2023 |
Viral infections |
Laboratory TechnicianParke-DavisFor-profitPrimarily Research |
Laboratory ManagerPfizerFor-profitPrimarily 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 T32TY 2: HL T32TY 3: CA R01TY 4: CA R01 |
None |
Uterine cancer and developmental biology |
Staff ScientistRadiologyMGHAcademiaPrimarily Research |
Assistant ProfessorRadiologyUniversity of ArizonaAcademiaPrimarily Research |
CA K99/PI/2011CA R00/PI/2013 |
Milligan, Clare |
MD 2003PhD 2003 |
Doe, John |
08/2018 |
TY 1: HL T32TY 2: HL T32 |
MPH 2019 |
Molecular and functional dissection of hematopoietic stem cell niche |
InstructorInternal MedicineColumbiaAcademiaPrimarily Research |
Associate ProfessorHematologyRutgersAcademiaPrimarily Research |
DK K08/PI/2011DK 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.
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 avenrage over those years.
- 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 TGEIndividuals – 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 |
Contact Jill Vampola for Table A or B Data from GEPA
Resources
- xTRACT Overview - Tutorial #1
- xTRACT for RPPR - Tutorial #2
- Data Table Training
- Tips and Tricks for Data Tables
- Sample email to Faculty
- Organizing Checklist for New Applications
- Organizing Checklist for Renewal Applications
- Timeline to Submission
- Proposal Checklist
- xTRACT PPT
- xTRACT Troubleshooting Handout
- A Method for Creating NIH Data Training Tables with Redcap and NIH xTRACT