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Suggested Citation:"Appendix A: Acronyms." National Academies of Sciences, Engineering, and Medicine. 2017. Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions. Washington, DC: The National Academies Press. doi: 10.17226/23670.
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A

Acronyms

ACES

Automated Continuous Evaluation System

ASD

Assistant Secretary of Defense

ASVAB

Armed Services Vocational Aptitude Battery

CAC

Common Access Card

CART

Classification and Regression Tree

CIPSEA

Confidential Information Protection and Statistical Efficiency Act

CNA

Center for Naval Analyses

DASD

Deputy Assistant Secretary of Defense

DBIDS

Defense Biometric Identification System

DBMS

Database Management System

DEERS

Defense Enrollment Eligibility Reporting System

DEP

Delayed Entry Program

DHRA

Defense Human Resources Activity

DIBRS

Defense Incident-Based Reporting System

DIOR

Directorate of Information Operations and Reports

DMDC

Defense Manpower Data Center

DoD

Department of Defense

DRRS

Defense Readiness Reporting System

DTIC

Defense Technical Information Center

ETL

extract-transform-load

Suggested Citation:"Appendix A: Acronyms." National Academies of Sciences, Engineering, and Medicine. 2017. Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions. Washington, DC: The National Academies Press. doi: 10.17226/23670.
×

FFRDC

federally funded research and development center

FIPPs

Fair Information Practice Principles

G/FO

General and Flag Officer

GSA

General Services Administration

HIPAA

Health Insurance Portability and Accountability Act

HR

human resources

HumRRO

Human Resources Research Organization

IDA

Institute for Defense Analyses

INFORMS

Institute for Operations Research and the Management Sciences

IRB

Institutional Review Board

JAMS

Joint Adjudication Management System

JCAVS

Joint Clearance and Access Verification System

JDAMIS

Joint Duty Assignment Management Information System

JPAS

Joint Personnel Adjudication System

M&RA

Manpower and Reserve Affairs

MEPS

military entrance processing station

MHS

Military Health Service

MS&A

modeling, simulation, and analysis

NAE

National Academy of Engineering

NAS

National Academy of Sciences

NCHS

National Center for Health Statistics

NDRI

National Defense Research Institute

NER

named entity recognition

NIST

National Institute of Standards and Technology

NLP

natural language processing

NLSY79

National Longitudinal Survey of Youth 1979

NPS

Naval Postgraduate School

NRC

National Research Council

ODMEO

Office of Diversity Management and Equal Opportunity

OMB

Office of Management and Budget

OPA

Office of People Analytics

OPM

Office of Personnel Management

OSD

Office of the Secretary of Defense

Suggested Citation:"Appendix A: Acronyms." National Academies of Sciences, Engineering, and Medicine. 2017. Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions. Washington, DC: The National Academies Press. doi: 10.17226/23670.
×

P&R

Office of the Under Secretary of Defense (Personnel & Readiness)

PCAST

President’s Council of Advisors on Science and Technology

PDASD

Principal Deputy Assistant Secretary of Defense

PDE

Person-Event Data Environment

PDHA

Post-Deployment Health Assessment

PDHRA

Post-Deployment Health Re-Assessment

PDUSD

Principal Deputy Under Secretary of Defense

PII

personally identifiable information

PTS

Post-Traumatic Stress

SAPRO

Sexual Assault Prevention and Response Office

SORTS

Status of Resources and Training System

SVM

support vector machine

TAPAS

Tailored Adaptive Personality Assessment System

VA

Department of Veterans Affairs

YRRP

Yellow Ribbon Reintegration Program

Suggested Citation:"Appendix A: Acronyms." National Academies of Sciences, Engineering, and Medicine. 2017. Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions. Washington, DC: The National Academies Press. doi: 10.17226/23670.
×
Page125
Suggested Citation:"Appendix A: Acronyms." National Academies of Sciences, Engineering, and Medicine. 2017. Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions. Washington, DC: The National Academies Press. doi: 10.17226/23670.
×
Page126
Suggested Citation:"Appendix A: Acronyms." National Academies of Sciences, Engineering, and Medicine. 2017. Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions. Washington, DC: The National Academies Press. doi: 10.17226/23670.
×
Page127
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The Office of the Under Secretary of Defense (Personnel & Readiness), referred to throughout this report as P&R, is responsible for the total force management of all Department of Defense (DoD) components including the recruitment, readiness, and retention of personnel. Its work and policies are supported by a number of organizations both within DoD, including the Defense Manpower Data Center (DMDC), and externally, including the federally funded research and development centers (FFRDCs) that work for DoD. P&R must be able to answer questions for the Secretary of Defense such as how to recruit people with an aptitude for and interest in various specialties and along particular career tracks and how to assess on an ongoing basis service members’ career satisfaction and their ability to meet new challenges. P&R must also address larger-scale questions, such as how the current realignment of forces to the Asia-Pacific area and other regions will affect recruitment, readiness, and retention.

While DoD makes use of large-scale data and mathematical analysis in intelligence, surveillance, reconnaissance, and elsewhere—exploiting techniques such as complex network analysis, machine learning, streaming social media analysis, and anomaly detection—these skills and capabilities have not been applied as well to the personnel and readiness enterprise. Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions offers and roadmap and implementation plan for the integration of data analysis in support of decisions within the purview of P&R.

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