Suggested Format Table A: Numbers and Characteristics of Applicants, Admitted Individuals, and Matriculants

Rationale

These data permit the evaluation of the ability of participating departments/interdepartmental programs to recruit training grant eligible individuals. These data are useful in assessing the admissions and recruitment process, the diversity of the pool, and the appropriate number of training positions to be awarded.

Instructions

All applicants should provide the numbers and characteristics of training grant eligible applicants (Part I), admitted individuals (Part II), and matriculants (Part III) detailed below. Applicants are encouraged to use the Suggested Table Formats below to organize the data.

Suggested Format Table A, Part Ia: Numbers and Characteristics of Applicants (All Applications)

List the number of training grant eligible individuals in each of the categories below who applied to the training program or relevant departments described in the application for each of the past 5 academic years. Training grant eligible individuals must be a citizen or a noncitizen national of the United States or have been lawfully admitted for permanent residence at the time of appointment. Applicants are encouraged to report on the categories listed in NIH’s Interest in Diversity listed below. Demographic data should be based on voluntary self-reporting.

  1. Total Applicants. Number of individuals who applied to the training program or departments described in the application. In cases of interdepartmental programs, provide aggregate data for all the participating departments.
  2. Number from Underrepresented Racial and Ethnic Minority (URM) Groups. Number of applicants from racial and ethnic groups that have been shown by the National Science Foundation to be underrepresented in biomedical research on a national basis (i.e., Black or African Americans, Hispanic or Latinos, American Indians or Alaska Natives, Native Hawaiians and other Pacific Islanders; see NOT-OD-15-089.
  3. Number with a Disability. If data are available, the number of applicants with disabilities, defined as those with a physical or mental impairment that substantially limits one or more major life activities as described in the Americans with Disabilities Act of 1990, as amended.
  4. Number from Disadvantaged Backgrounds. If data are available, the number of applicants from disadvantaged backgrounds (see NIH’s Interest in Diversity).
  5. Number of women. Number of applicants who identify as women.
  6. Number of individuals from an institutionally defined underrepresented group. If relevant, number of applicants from a racial or ethnic group that can be demonstrated convincingly to be underrepresented by the grantee institution. For more information on racial and ethnic categories and definitions, see the OMB Revisions to the Standards for Classification of Federal Data on Race and Ethnicity. Add columns as needed.
  7. In the final row of Part I, provide the average for each column.

Sample: Suggested Format Table A, Part Ia: Numbers and Characteristics of Applicants

Ac Yr, Academic Year; URM, Underrepresented Racial & Ethnic Minorities; n/a, not applicable; Avg, average
Ac YrTotal ApplicantsURMApplicants with DisabilitiesApplicants from Disadvantaged BackgroundsWomenInstitutionally Defined
2014-15399802072239n/a
2015-16384771969230n/a
2016-17489982488293n/a
2017-18342681762205n/a
2018-19438882279263n/a
Avg 410 82 21 74 246 n/a

Suggested Format Table A, Part Ib: Applicants Across Departments (Interdepartmental Training Programs with Separate Admissions)

Provide the number of training grant eligible individuals who applied to the relevant departments described in the application for each of the past 5 academic years. Training grant eligible individuals must be a citizen or a noncitizen national of the United States or have been lawfully admitted for permanent residence at the time of appointment.

  1. Total Applicants. Number of individuals who applied to the departments described in the application.
  2. Number of individuals from each department. Number of training grant eligible individuals who applied to each relevant department.
  3. In the final row of Part I, provide the average for each column.

Sample: Suggested Format Table A, Part Ib: Applicants Across Departments

Ac Yr, Academic Year; Avg, average
Ac YrTotal ApplicantsBiologyChemistryPhysicsComputer ScienceEngineering
2014-1539920451364860
2015-1638419551364557
2016-1748924963456072
2017-1834217445304251
2018-1943822257395466
Avg 410 209 53 37 50 61

Suggested Format Table A, Part IIa: Numbers and Characteristics of Admitted Individuals (All Applications)

List the number of training grant eligible individuals in each of the categories below who were admitted into the training program or departments described in the application for each of the past 5 academic years. Training grant eligible individuals must be a citizen or a noncitizen national of the United States or have been lawfully admitted for permanent residence at the time of appointment. Applicants are encouraged to report on the categories listed in NIH’s Interest in Diversity listed below. Demographic data should be based on voluntary self-reporting.

  1. Total Admitted. The total number of offers, i.e., the number of individuals who were admitted to the training program or departments described in the application. In cases of interdepartmental programs, provide aggregate data for all the participating departments.
  2. Number from Underrepresented Racial and Ethnic Minority (URM) Groups. Number of offers to individuals from racial and ethnic groups that have been shown by the National Science Foundation to be underrepresented in biomedical research on a national basis (i.e., Black or African Americans, Hispanic or Latinos, American Indians or Alaska Natives, Native Hawaiians and other Pacific Islanders; see NOT-OD-15-089.
  3. Number with a Disability. If data are available, the number of offers to individuals with disabilities, defined as those with a physical or mental impairment that substantially limits one or more major life activities as described in the Americans with Disabilities Act of 1990, as amended.
  4. Number from Disadvantaged Backgrounds. If data are available, the number of offers to individuals from disadvantaged backgrounds (see NIH’s Interest in Diversity).
  5. Number of women. Number of offers to individuals who identify as women.
  6. Number of individuals from an institutionally defined underrepresented group. If relevant, number of offers to individuals from a racial or ethnic group that can be demonstrated convincingly to be underrepresented by the grantee institution. For more information on racial and ethnic categories and definitions, see the OMB Revisions to the Standards for Classification of Federal Data on Race and Ethnicity.
  7. In the final row of Part I, provide the average for each column.

Sample: Suggested Format Table A, Part IIa: Numbers and Characteristics of Admitted Individuals

Ac Yr, Academic Year; URM, Underrepresented Racial & Ethnic Minorities; n/a, not applicable; Avg, average
Ac YrAdmittedURMIndividuals with DisabilitiesIndividuals from Disadvantaged BackgroundsWomenInstitutionally Defined Group
2014-151202462172n/a
2015-161142792469n/a
2016-171473032787n/a
2017-181022101860n/a
2018-191322492178n/a
Avg 123 25 5 22 73 n/a

Suggested Format Table A, Part IIb: Admitted Individuals Across Departments (Interdepartmental Training Programs with Separate Admissions)

List the number of training grant eligible individuals who were admitted to the relevant departments described in the application for each of the past 5 academic years. Training grant eligible individuals must be a citizen or a noncitizen national of the United States or have been lawfully admitted for permanent residence at the time of appointment.

  1. Total Admitted. The total number of training grant individuals who were admitted to the departments described in the application.
  2. Number of individuals from each department. Number of training grant eligible individuals who were admitted to each relevant department.
  3. In the final row of Part I, provide the average for each column.

Sample: Suggested Format Table B, Part IIb: Admitted Individuals Across Departments

Ac Yr, Academic Year; Avg, average
Ac YrTotal AdmittedBiologyChemistryPhysicsComputer ScienceEngineering
2014-151326717121620
2015-161276417121519
2016-171628221152024
2017-181135715101417
2018-191346818121620
Avg 132 67 17 12 16 20

Suggested Format Table A, Part IIIa: Numbers and Characteristics of Matriculants (All Applications)

List the number of individuals in each of the categories below who matriculated into the training program or departments described in the application for each of the past 5 academic years. Training grant eligible individuals must be a citizen or a noncitizen national of the United States or have been lawfully admitted for permanent residence at the time of appointment. Applicants are encouraged to report on the categories listed in NIH’s Interest in Diversity listed below. Demographic data should be based on voluntary self-reporting.

  1. Total Matriculants. Number of matriculants, i.e., the number of individuals who enrolled in the training program or departments described in the application. In cases of interdepartmental programs, provide aggregate data for all the participating departments.
  2. Number from Underrepresented Racial and Ethnic Minority (URM) Groups. Number of matriculants from racial and ethnic groups that have been shown by the National Science Foundation to be underrepresented in biomedical research on a national basis (i.e., Black or African Americans, Hispanic or Latinos, American Indians or Alaska Natives, Native Hawaiians and other Pacific Islanders; see NOT-OD-15-089.
  3. Number with a Disability. If data are available, the number of matriculants with disabilities, defined as those with a physical or mental impairment that substantially limits one or more major life activities as described in the Americans with Disabilities Act of 1990, as amended.
  4. Number from Disadvantaged Backgrounds. If data are available, the number of matriculants from disadvantaged backgrounds (see NIH’s Interest in Diversity).
  5. Number of women. Number of matriculants who identify as women.
  6. Number of individuals from an institutionally defined underrepresented group. If relevant, the number of matriculants from a racial or ethnic group that can be demonstrated convincingly to be underrepresented by the grantee institution. For more information on racial and ethnic categories and definitions, see the OMB Revisions to the Standards for Classification of Federal Data on Race and Ethnicity. Add columns as needed.
  7. In the final row of Part I, provide the average for each column.

Sample: Suggested Format Table A, Part IIIa: Numbers and Characteristics of Matriculants

Ac Yr, Academic Year; URM, Underrepresented Racial & Ethnic Minorities; n/a, not applicable; Avg, average
Ac YrMatriculantsURMMatriculants with DisabilitiesMatriculants from Disadvantaged BackgroundsWomenInstitutionally Defined Group
2014-154082724n/a
2015-163893823n/a
2016-1749101929n/a
2017-183470620n/a
2018-194483726n/a
Avg 41 8 2 7 24 n/a

Suggested Format Table A, Part IIIb: Matriculants Across Departments (Interdepartmental Training Programs with Separate Admissions)

List the number of individuals who matriculated into the departments described in the application for each of the past 5 academic years. Training grant eligible individuals must be a citizen or a noncitizen national of the United States or have been lawfully admitted for permanent residence at the time of appointment.

  1. Total Matriculants. Number of matriculants, i.e., the number of training grant eligible individuals who enrolled in departments described in the application.
  2. Number of individuals from each department. Number of training grant eligible individuals who matriculated to each relevant department.
  3. In the final row of Part I, provide the average for each column.

Sample: Suggested Format Table A, Part IIIb: Matriculants Across Departments

Ac Yr, Academic Year; Avg, average
Ac YrTotal AdmittedBiologyChemistryPhysicsComputer ScienceEngineering
2014-1540186457
2015-1638176456
2016-1749227578
2017-1834155356
2018-1944226457
Avg 41 19 6 4 5 7