reference to the chapters increasing numbers

Jill I. Weller
Project Manager
RSC – Research Service Core
Data Tables Workshop for NIH Training Grants
August 3, 2016

Training Grant Town Hall
Date: August 23, 2016, 9-11am
Location: Medical Education and TeleMedicine Building, Rooms 141-145
We plan to discuss all aspects of the Training Grant process and encourage
participation and feedback!
Save the Date!

Data Tables:
Objectives of Workshop
• Explain all data tables instructions and guidelines so a lay person
can understand them
• Answer any FAQ’s about specific data tables
• Show tips and tools on how to gather and verify data
• Inputting data table information into xTRACT

Data Tables:
List Serve
To subscribe to the Training Grant list serve:
https://mailman.ucsd.edu/mailman/listinfo/traininggrants-l

Data Tables:
List Serve
Or on search “listserv”
http://blink.ucsd.edu/technology/email/services/lists/MM-subscriber.html

Data Tables:
Training Grant Website & Resources
https://
pulse.ucsd.edu/departments/research-service-core/training-grants/preaward/Pages/Data-Tables.aspx
or https://pulse.ucsd.edu/departments/research-service-core/training-grants/Pages/default.aspx
Use your active
directory credentials to
log in.

Data Tables:
Background
• What are Data Tables?
• Present detailed and consolidated documentation of your Training Program
• Data Tables are required to be completed for all NRSA training grants.
• One set of Tables for all NIH Institutes
• What’s the purpose?
• Tables communicate qualifications and accomplishments of institution, faculty, and trainees
• To make you crazy
http://grants.nih.gov/grants/forms/datatables.htm

Data Tables:
Old vs. New Tables
Table # Title of Table Former Table Comments
Table 1. Census of Participating Departments and Interdepartmental Programs 1 No change
Table 2. Participating Faculty Members 2 No change
Table 3. Federal Institutional Research Training Grant and Related Support Available to Participating Faculty Members 3 No change
Table 4. Research Support of Participating Faculty Members 4 No change
Table 5. Publications of Those in Training: Predoctoral 6 5B for Postdoc
Table 6. Applicants, Entrants, and their Characteristics for the Past Five Years: Predoctoral 8, 9, 11 6B for Postdoc
Table 7. Appointments to the Training Grant for Each Year of the Current Project Period 11, 12 Renewal Only
Table 8. Program Outcomes: Predoctoral 5 8C for Postdoc
Eliminated data tables 9 -12

Data Tables:
MS Word or xTRACT?
• Applicants may create tables for their applications and RPPRs either by using
fillable tables in MS Word or via the xTRACT system
• xTRACT is not mandatory for NIH FY16, only recommended. NIH assured us
that it will not be mandatory as of 10/1/16, but otherwise no indication yet from
when it will be mandatory.
• As of August 18, 2016, updates are expected to include the ability to search and import publications
from Pubmed
• Unsure when upload features will be released

Data Table 2:
Objective
Table 2: Participating Faculty Members
• Assess the distribution of participating faculty by:
• Rank (junior vs. senior)
• Research interests
• Department or interdepartmental program
Summarize and analyze this data in the Background section
and the program faculty section of the program plan.

Data Table 2:
Instructions and Guidelines
1. Add the middle
initial to first and
last name
2. Provide the
terminal (highest)
degree
4. One PRIMARY
department only
3. Always
abbreviate the rank
5. Research interest is
now limited to 35
characters in xTRACT
6. Training Roles:
• PI/PD
• Mentors
• Preceptors
• Executive or other
committee member

Data Table 2:
7/10. Should include ALL
current predocs and
postdocs (even if they
are NOT eligible) in
mentor labs
Mentoring Record now
required in Table 2 for the
last 10 years
8/11. Include ALL
Predocs/Postdocs that
have graduated or
completed training in the
last 10 years
9/12.
Predocs/Postdocs that
have continued in
research or related
careers

Data 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.

Data Table 2:
Tips to Gathering Data
Where do I get a list of my participating faculty?
• Look at last renewal and past RPPR’s to compile list of participating faculty
and ask PI for any changes OR
• Go to “Reports and Data” on TG website
The information on the “Training Grant Mentors by Award” list is obtained from the
latest renewal, RPPR, PI or administrator
https://pulse.ucsd.edu/departments/research-service-core/training-grants/reports-data/P
ages/default.aspx
Verify
anything in
RED

Data Tables 2:
• Always ask your PI to verify the participating faculty list and roles
• “Mentoring record” information will NEED to come from each individual
participating faculty or their admin assistant

Data Table 2:
xTRACT
Add your faculty members individually
• Under Faculty Member Data
• Rank
• Primary Dept
• Research Interest
• Training Role
• Mentoring Record
• Update Predoc and Postdoc Counts

Data Table 2:
xTRACT
Proceed to Live Demo

Data Table 1:
Objective
Table 1: 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
Summarize this data in the Background Section of the
Research Training Program Plan.

Data Table 1:
1. List program,
department or division
involved with this
application
i.e.
•Biomedical Sciences
Graduate program
(Program)
•Biological Sciences
(Division)
•Physics (Dept.)
All applicants should complete both Predocs and Postdocs part of the table
regardless what slots on the grant

Data Table 1:
2. Total amount of
current faculty in
each dept, program or
division
3. Total of
participating faculty
on this grant
4. ENTIRE count of
predocs or postdocs
in that dept.
5. TOTAL amount of
predocs or postdocs
supported on HHS
TRAINING funds
(T32’s, F32, etc)
6. Total amount of
predocs or postdocs
in training with
participating faculty
(18 students in 4 labs)

Data Table 1:
7. Total amount of
students eligible for
support. ie. Exclude
non-citizens
Eligibility Policy for NRSA Grants
http://grants.nih.gov/grants/policy/nihgps_2012/nihgps_ch11.htm
8. Training Grant
Eligible (TGE)
postdocs or
predocs on this
grant
9. Only
applicable to R90
grants, leave
blank

Data Table 1:
FAQ’s
• Q. Should applicants for predoc only or postdoc
only training grants complete both parts of Table 1?
A. Yes, all applicants should complete both parts of the table.
• Q. If you only have a predoc T32 should you report zero amounts in Part II?
A. No, you should be listing the number of postdocs fellows that are in these departments,
interdisciplinary units, or programs. Even if the answer is zero postdocs.
• Q. If a postdoc is paid through one department, but is being mentored by someone fro
m a different department, which department is listed as the attributer?
A. An individual postdoc fellow can only be claimed by one department on the tables. The departments
would have to agree on who is the attributer.
• Q. What is TGE?
Only U.S citizens and permanent residents are eligible for Kirschstein-NRSA support.

Data Table 1:
• Check faculty members in to verify the department,
program or division.
• Check PPS for faculty members home department
• Predoc/Postdoc count information will NEED to come from the
individual participating faculty member, admin to participating PI,
dept HR or dept graduate program (if applicable.)
https://pulse.ucsd.edu/departments/research-service-core/training-grants/Pages/default.aspx

Data Table 1:
xTRACT
Add departments or programs in individually
• Update Census information
• Faculty
• Predocs
• Postdocs

Data Table 1:
xTRACT

Data Table 3:
Objective
Table 3: Federal Institutional Research Training Grants and Related
Support Available to Participating Faculty Members
• Current level of support for related research training
• Overlap in participating faculty
• Used to assess the institutional environment and determine the number
of training positions to be awarded

Data Table 3:
1. Full Grant Title
2. i.e T32AG00216-24
3. Current Project
Period (MM/YYYY
format)
4. PD/PI
5. Number of Predoc Slots
6. Number of Postdoc Slots
7. Number of Short-term Slots
8. Total Participating Faculty
9. Overlapping Faculty

Data Table 3:
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, K12/KL2, TL1) support available to the participating faculty
members.

Data Table 3:
• Go to “Reports and Data” on TG website – “General Training Grant List /New Data Table 3”
https://pulse.ucsd.edu/departments/research-service-core/training-grants/reports-dat
a/Pages/default.aspx

Data Table 3:
xTRACT
Add each TG individually by number or PI last name
• Number of Trainee positions
• Add in number of trainees
• Overlapping faculty
• Add in individually

Data Table 3:
xTRACT

Data Tables 4:
Objective
• Table 4: 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
• Appropriateness of the participating faculty in terms of their
active research support
Analyze and summarize this data in the Program Plan

Data Tables 4:
1. Add in Participating Faculty Name
2. Agency/Fund Source
3. Full Grant Number
4. Role – should be PI only (NO CO-I unless a multi PI Project)
5. Full Grant Title
6. CURRENT Project Period (MM/YYYY format)
7. Current Year direct costs only
8. Sum of current
year direct costs
divided by the
total number of
faculty

Data Table 4:
FAQ’s
• Q. Does Table 4 only include active support?
A. Yes
• Q. Should PI and 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), he or she can be listed but
otherwise the answer is no.
• Q. If you are in a no-cost extension year, do you list zero or do you list the amount of fu
nds carried forward?
A. List the amount of direct cost funds that are remaining in the grant award.
• Q. For current year direct costs, does “the average grant support” refer to a weighted av
erage?
A. No, it is not a weighted average. The average reported here should be the sum of the current year
direct costs divided by the total number of participating faculty.

Data Table 4:
• Contact each PI and/or admin separately to obtain non-NIH “active support”
• NSF Search Tool
• http://www.nsf.gov/awardsearch/advancedSearch.jsp
• Does not show direct cost amounts
• DOD Search Tool
• http://cdmrp.army.mil/search.aspx
• Not user friendly
• HSSPPO (Health Sciences) Other Support tool
• http://som-prod4.ucsd.edu/pTracker/
• Will need employee ID of PI
• OPAFS – Document award lookup tool
• https://awards.bfs.ucsd.edu/
• May not have access to all departments
• Querylink -
https://act.ucsd.edu/qlink/viewer?jlinkevent=QueryServer&queryType=query&queryModel=A
wardDataForDepartments-Detail
•Use NIH RePORTER - https://projectreporter.nih.gov/reporter.cfm

• Active Projects (default)
• Organization (3 UCSD’s)
Data Table 4:
http://exporter.nih.gov/ OR https://projectreporter.nih.gov/reporter.cfm
Parameters
• PI Name

Data Table 4:
http://exporter.nih.gov/ OR https://projectreporter.nih.gov/reporter.cfm

Data Table 4:
xTRACT
Research Support
• NIH fund sources are automatically pulled in but not editable
• PPG or center grants that have “core projects” may not be pulled
in and you will have to add them manually
• Add other sources of support for other agencies
• Search sources of support that you have already entered
• Create a new fund source

Data Table 4:
xTRACT

Data Table 5:
Objective
• Table 5: Publications of Those in Training
• The faculty members ability to foster trainee productivity
through publishable results
• Allows assessment of the research quality and authorship
priority of trainees
Summarize these data in the body of the application.

Data Table 5:
1. PI or mentor to
the trainee
2. Trainee Name
3. Past or Current
4. Total training
Period in year
format only
5. Publication

Data Table 5:
• 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.
• No longer need PMCID Number, PMID only
• List in chronological order, followed by
abstract-only pubs.
• List all publications of students resulting
from their period of training or in
association with the current training
program, through completion of their
degree.
• “No publications” require an explanation:
• New entrant
• Leave of absence
• Change of research supervisor
• Left program
• Other
• Boldface student’s name in author list
• List abstract-only publications only if a peer-
reviewed publication has not appeared and
label these clearly as abstracts.

Data Table 5:
FAQ’s
• Q. What publications do I include for new applications?
A. All pubs from all eligible pre or post docs in the last 10 years.
• Q. What publications do I include for Renewal applications?
A. All pubs from trainees appointed to the grant in the last 10 years.
• Q. How should you report on the publications of past trainees whose faculty mentor
s have retired or are no longer involved in the training grant?
A. Former faculty and their trainees generally are not included. The intent of Table 5 is to provide
reviewers with information about current training grant faculty and their ability to foster trainee
productivity. As such, former faculty and their trainees should not be included.
• Q. How many years of training is one considered to be a “new entrant” when reporti
ng no publications for a predoctoral or postdoctoral trainee?
A. For their first 2 years, trainees could be considered a “new entrant.”
• Q. Do you submit publications for “clearly associated” students listed in Table 8?
A. No.

Data Table 5:
Tips to gathering Data
• Ask each PI or trainee individually for their publications list
• Use NCBI and “pubmed” databases
• http://www.ncbi.nlm.nih.gov/

Data Tables 5:

Data Table 5:
• Use NIH RePORTER
• https://projectreporter.nih.gov/reporter.cfm

Data Tables 5:
https://projectreporter.nih.gov/reporter.cfm
Add in TG number
T32 AG 000216

Data Tables 5:

Data Tables 5:
10 years of
data

Data Table 5:
xTRACT
Under Participating Trainee Detail
• Go to Publications
• Add faculty member by using search tool (if you haven’t
completed table 2 yet, your search won’t have any PI’s to
choose from)
• Insert publication and save

Data Table 5:
xTRACT

Data Tables 6:
Objectives
• Table 6: Applicants, Entrants, and Their Characteristics
• Permit the evaluation of the ability of participating
departments/interdepartmental programs to recruit trainees
• This data is useful in assessing:
• Selectivity of the admissions process
• Competitiveness of the training program
• Appropriate number of training positions to be awarded
Analyze and summarize this data in the Program Plan.

Data Tables 6:
2. Number of ALL
individuals who
formally applied
for training to this
program
1. List all
participating
programs, depts.
3. Number of individuals
who formally applied for
training and were
eligible for support from
this grant. (i.e. Do not
include non-citizens)
4. Number of new
entrants to the
department or
interdepartmental
program.
5. Number of new entrants to the
department/interdepartmental
program who were eligible for
support from this grant. (i.e. Do
not include non-citizens)
6. (Renewals or Revisions only)
Number of new entrants appointed to
this grant.

Data Tables 6:
Postdocs are counted slightly differently.
List the following counts for each participating department/interdepartmental program
and for each major degree type

Data Tables 6:
2. This is the institution the
predoc received their
undergrad degree. List it
only once, followed by the
(number of entrants in
parentheses.)
1. For each category enter the mean
number of months of prior, full-time
research experience and (range in
parentheses.)
3. Percent of individuals
with disabilities in each
category
4. Percent of
individuals from
underrepresented
groups in each
category
5. Mean GPA
and (range in
parentheses),
using a 4.0
scale for each
category
include total
applicant pool.
Leave the shaded cells blank as applicable.
Predocs

Data Tables 6:
2. Mean Number of First-Author
Publications (range in parentheses.)
1. Mean number of publications
(range in parentheses.)
Leave the shaded cells blank as applicable.
Postdocs
Similar to Predoc information but add in publications
info, no GPA or research experience required

Data Table 6:
FAQ’s
• Q. Can part-time research be converted to fulltime equivalent?
A. Yes. For example, the UCSD appointment time for graduate students is 50% during the
academic year and 100% during the summer time. (i.e. 9 mos. academic year = 4.5 months of full
time research + the 100% of 3 summer months is a total of 7.5 full time research per year.)
• Q. When computing the previous research experience for predoc
trainees, is only undergraduate counted or is also experience during a master's degre
e considered?
A. If the trainee completed a master’s prior to acceptance into the current graduate program,
that research experience would be counted.
• Q. How would you advise to report data categories for which data has not been previo
usly collected by the institution?
A. Report the data as best you can. Explain in the text how you determine the current data
as well as how you will collect the data in the future.
• Q. Does each participating department need to complete the characteristics section?
A. Yes, complete for all departments and participating programs.

Data Table 6:
FAQ’s
Q
. In Part II, some trainees choose not to report a disability. For example, 5 of 10 did not s
elf-report and the other 5 who did self-report indicated they are not disabled or disadvant
aged. How would one report this information without skewing the summary?
A. If your students do not self-report their disabilities, then put 0 percent for the number.

Data Tables 6:
xTRACT
• Enter last completed academic year
• Chose Predoc or Postdoc applicants and entrants
• Update Department Counts
• GPA
• Research Experience
• Prior Institutions
• Diversity Characteristics

Data Table 6:
xTRACT

Data Tables 6:
Tips to gathering data
• Consult with another admin that has recently submitted a new or renewal application to collaborate on information
• Refer to the TG contacts list on the website
• Contact the Graduate Division or Postdoc and Visiting Scholar Office (Office of Research Affairs)
• Graduate Admissions - Erin Espaldon @ x46230 eespaldon@ucsd.edu
• Admissions and acceptance info by dept, ethnicity, degree and institution they received undergrad degree, GPA’s, some
disability info as of Fall 2015, initial placement after they leave such type and institution, no disadvantaged info.
• Postdocs - Ginger Hazen @ x25915 or vhazen@ucsd.edu
• Funding mechanism, ethnicity, faculty mentor, citizenship, degree and institution they received degree. They do no have stats
on disabilities or underrepresented.
• Contact individual Graduate departments such as Biomedical Sciences, etc.
• List of Graduate coordinators on Blink - https://ga.ucsd.edu/a/grad_dept_prog_contacts
• Unfortunately, there is no easy solution to collect data for this table!
https://pulse.ucsd.edu/departments/research-service-core/training-grants/Pages/default.aspx

Data Table 7:
Objectives
Table 7: (Renewal/Revision Applications Only)
Appointments to the Training Grant for Each Year of the
Current Project Period
• Awarded training positions for the last 5 years
Summarize this data in the Progress Report Section.
Also useful to refer to this data within the “Recruitment and
Retention Plan” to Enhance Diversity Section

Data Table 7:
1-4. Since the last
competing grant
application
provide the following
counts for each
complete
Budget Year.
5. Sum of Budget Years

Data Table 7
Tips on gathering Data
•Look at previous RPPR’s, NOA’s and/or tracking records for awarded slot
information
•If you have access to xTRAIN for the grant then you can view the grant detail
for current and previous years.

Data Table 7:
xTRACT
• Auto-filled in xTRACT – nothing to do!

Data Table 8:
Objectives
• Table 8: Program Outcomes
• Effectiveness of the proposed training program
• Extended the tracking of trainee outcomes from 10 to 15 years
Summarize the data in the Program Plan Section or the
Progress Report Section, as appropriate

Data Table 8:
• Part I. Those Appointed to the Training Grant
• Part II. Those Clearly Associated with the Training Grant
• Part III. Recent Graduates
• Part IV. Program Statistics

Data Table 8:
1. Add the middle
initial to first and
last name
2. Faculty Mentor
3. Calendar month
and year of entry
(MM/YYYY format)
into the current
program

Data Table 8:
4. Provide the primary source and type of support during each 12-month
period of training, using TY1 for Training Year 1, etc.
For NIH and other HHS support, list the awarding component and the
activity (e.g., CA R01).
Bold the grant being reported in this application.
Sources of Support
• NSF
• Other Federal (Other Fed)
• University (Univ)
• Foundation (Fdn)
• Non-US (Non-US)
• Other (Other)
Types of Support
• Research assistantship (RA)
• Teaching assistantship (TA)
• Fellowship (F)
• Training Grant (TG)
• Scholarship (S)
• Other

Data Table 8:
5. For predocs, list the terminal
degree received and year
awarded.
Trainees currently in the
program should be designated
“in training” Those who have
left the graduate program
without a degree, report “none.”
6/7 Topic of Research Project is
limited to 80 characters in
xTRACT
2. For postdocs, list the doctoral
degree and year. (MM/YYYY
format)
6. For postdocs, list degree
resulting from postdoc training,
usually “none.”

Data Table 8:
7. For trainees who
completed or left the program,
provide their initial and
current positions,
departments, and institutions.
Classify each position as
predominantly:
1. Research-intensive
2. Research-related:
• Teaching
• Administering research
• Science policy
• Technology transfer
3. Further Training
4. Other
• If information is not
available, report “unknown.”

Data Table 8:
8. If applicable, list the type of
support after completed training:
• Subsequent fellowship
• Career development
• Research grant
The support can be obtained
from any source whether as
PD/PI or in another senior role:
• Co-I
• Faculty collaborator
• Staff scientist
For NIH and other HHS
support, list the award in this
format: GM R01/PI/2011
Up to five grants may be
listed.

Data Table 8:
Part II. Those Clearly Associated with the Training Grant
Q. How does one define students that are “clearly associated” with the program?
A. They must be current pre or postdocs who have a training experience identical to those appointed
to this grant and they must have been or currently are funded by another HHS or NIH mechanism
(fellowship, R01, etc.—even for a short time). Clearly associated students can be either TGE or Non-
TGE. (Eligibility to be on a training grant is NOT a factor here. i.e Non-citizen’s can be listed if they are
on HHS or NIH fund sources.)
Q. Are students that are supported by a private fellowship or a NSF fellowship considered
“clearly associated”?
A. No, these are not NIH or HHS awards
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, or those “clearly associated with the training
program.”

Data Table 8:
Part III. Recent Graduates
• For NEW applications
• Or postdoc renewal/revision applications requesting an expansion to predoc
support
• List sequentially all postdocs whom have completed the proposed program in
the last five years who would have been eligible for appointment, if an NIH
training or related award were available.
• For each postdoc, provide the information described in Part I, items 1-4 and 6-
9, above.
Summarize the data from Parts I-III (as applicable) in the Research Training
Program Plan, either in the Program Plan Section or the Progress Report
Section, as appropriate.

Data Table 8:
Part IV. Program Statistics
• The percentage of trainees entering 10 years ago that received support from this training grant
who received PhDs or equivalent degrees.
• Average amount of years to Ph.D. Calculated to one decimal place (e.g., 5.5 years), (exclude
any leaves of absence)
• Programs that have not received support for at least 10 years should not include the first
section of the table
• New programs that have not yet had any trainees complete the PhD should not include this
table at all
• For RPPRs, summarize this data in the Accomplishments Section, in responding to the
question, “What opportunities for training and professional development has the project
provided?”
PREDOCS ONLY

Data Table 8:
FAQ’s
Q. How many years of data should be included in Part II?
A. Because Part II of Table 8 is a completely new reporting requirement, users should initially report only
current “clearly associated” students. Then in each subsequent year, they should continue to add
new entrants and provide updated information about current and past clearly associated students
until 15 years of data have been completed.
Q. If you are submitting an RPPR, which parts do I fill out?
A. Parts I & II. Provide updated trainee or current clearly associated student information, reflecting
new appointments/entrants and other changes over the last reporting period.
• Again, in each subsequent year, continue to add new entrants until 15 years of data have been
completed.
Q. What should we do if we don’t have all the historical data?
A. Where complete historical data is not available, PD/PIs should provide as much as
reasonably possible, and begin collecting the relevant information, so that it will be available in the
future.

Data Table 8:
FAQ’s
Q. If you are submitting a new application, which part do I fill out?
A. Table 8A, Part III, only.
List students who graduated in the last 5 years but who would have been eligible for this
T32, if it existed. (There is no data for part I and II.)
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.”

Data Table 8:
Tips for gathering data
• Linkedin
• Google
• Keep good records
• Use Linkfamily to look up fund sources
• PPS
• Querylink
• Employee History
• Email the trainee
• NIH Career Trac

Data Table 8:
Tips for gathering data
Currently limited to only certain IC’s
•FIC
•NIEHS
•NIGMS
CareerTrac enables ICs (NIH staff), PI’s &
Program staff to track data entry of a wide
variety of accomplishments such as:
•Employment
•Funding
•Publications
•Patents
The ability to capture a broad range of long-
term outcomes is essential for showing the
success of trainees
https://careertrac.niehs.nih.gov/

Data Table 8:
xTRACT
• If xTRACT determines that CareerTrac information is available for a
grant at time of RTD initiation, a pop-up screen displays asking if the
data should be imported.
Pre-population of the
following info:
•Research Project
Titles
•Degrees
•Employments
•Mentor Relationships
•Publications

Data Table 8:
xTRACT

Data Tables:
New Applications
When is a Data Table Completed?
Depending on the type of application, submit the tables indicated.
• New Predoctoral Training:
• 1, 2, 3, 4, 5A, 6A, 8A
• New Postdoctoral Training:
• 1, 2, 3, 4, 5B, 6B, 8C
• New Mixed Pre and Postdoctoral Training:
• 1, 2, 3, 4, 5AB, 6AB, 8AB

Data Tables:
Renewal/Revision/RPPR
When is a Data Table Completed?
Depending on the type of application, submit the tables indicated.
• Renewal or Revision Predoctoral Training:
• 1, 2, 3, 4, 5A, 6A, 7, 8A
• Renewal or Revision Postdoctoral Training:
• 1, 2, 3, 4, 5B, 6B, 7, 8C
• Renewal or Revision Mixed Pre and Postdoctoral Training Grants:
• 1, 2, 3, 4, 5AB, 6AB, 7, 8AC
• (RPPR’S) Non-Competing Continuation Progress Reports Only
• Table 8 Only (was table 12)

Data Tables:
Finalizing the Data Tables
• Provide as much data as reasonably possible. Exercise due diligence in
collecting and verifying data
• Start early with your tables there is a LOT of data entry, especially in
xTRACT
• Begin collecting the relevant information at the beginning of the grant, so that
it will be available in the future.
• Use a spreadsheet or create a database to keep meticulous records
• These records are essential for creation of annual progress reports (RPPR’s)
and a future renewal proposal.
• Tracking former participants after program completion can be challenging. Use
tools such as Career Trac if applicable

Questions?
Jill I. Weller
Training Grant Analyst
X43933
jweller@ucsd.edu

Objective: To create more efficiency, accuracy, and consistency
concerning the Training Grant process at UCSD
Location: Medical Education and TeleMedicine Building, Rooms 141-145
We plan to discuss all aspects of the Training Grant process and
encourage participation and feedback!
Training Grant Town Hall
Date: August 23, 2016, 9-11am

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