National Academies Press: OpenBook

Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science (2021)

Chapter: Appendix E: Glossary of Terms, Abbreviations, and Acronyms

« Previous: Appendix D: Skills for Data Science Mastery
Suggested Citation:"Appendix E: Glossary of Terms, Abbreviations, and Acronyms." National Academies of Sciences, Engineering, and Medicine. 2021. Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science. Washington, DC: The National Academies Press. doi: 10.17226/25979.
×

E

Glossary of Terms, Abbreviations, and Acronyms

A&S Acquisition and Sustainment
AFIT Air Force Institute of Technology
AI artificial intelligence
ASA(ALT) Assistant Secretary of the Army for Acquisition, Logistics, and Technology
AWF Acquisition Workforce
BICC Business Intelligence Competency Cell
CADE Cost Assessment Data Enterprise
CAPE Cost Assessment and Program Evaluation
CBO Congressional Budget Office
CDO chief data officer
CONOPS concept of operations
Data acumen The mastery of key concepts in data science, real-world data and problems that can reinforce the limitations of tools, and ethical considerations that permeate many applications.
Data literacy Data literacy concepts include data questions; assessment of data sources and quality; margin of error and uncertainty; concerns related to ethics, security, and privacy; basic tools and techniques for visualizing data; interpreting visualizations and results; and best practices for communication.
Suggested Citation:"Appendix E: Glossary of Terms, Abbreviations, and Acronyms." National Academies of Sciences, Engineering, and Medicine. 2021. Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science. Washington, DC: The National Academies Press. doi: 10.17226/25979.
×
Data science The science and technology of extracting value from data and is characterized by the data life cycle—shown here.
Image
Data strategy A data strategy for an organization is a guide for how data should be collected, stored, managed, shared, and used within the data life cycle.
DAU Defense Acquisition University
DAWIA Defense Acquisition Workforce Improvement Act
Defense acquisition The conceptualization, initiation, design, development, test, contracting, production, deployment, integrated product support, modification, and disposal of weapons and other systems, supplies, or services (including construction) to satisfy DoD needs, intended for use in, or in support of, military missions. (Department of Defense, 2020, Directive 5135.02. Under Secretary of Defense for Acquisition and Sustainment (USD(A&S)). https://www.esd.whs.mil/Portals/54/Documents/DD/issuances/dodd/513502p.pdf?ver=2020-07-15-133537-05)
DoD Department of Defense
DON Department of the Navy
DOT&E Director of Operational Test and Evaluation
ETL extract, transform, and load
FTC Federal Trade Commission
GSA General Services Administration
IDA Institute for Defense Analyses
MOOC Massive Open Online Course
NASEM National Academies of Sciences, Engineering, and Medicine
NAVAIR Naval Air System Command
NDU National Defense University
Suggested Citation:"Appendix E: Glossary of Terms, Abbreviations, and Acronyms." National Academies of Sciences, Engineering, and Medicine. 2021. Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science. Washington, DC: The National Academies Press. doi: 10.17226/25979.
×
NPS Naval Postgraduate School
NRC National Research Council
OSD Office of the Secretary of Defense
PQM production, quality, and manufacturing
R&D research and development
STEM science, technology, engineering, and mathematics
T&E test and evaluation
USD(A&S) Under Secretary of Defense for Acquisition and Sustainment
USD(AT&L) Under Secretary of Defense for Acquisition, Technology, and Logistics
Suggested Citation:"Appendix E: Glossary of Terms, Abbreviations, and Acronyms." National Academies of Sciences, Engineering, and Medicine. 2021. Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science. Washington, DC: The National Academies Press. doi: 10.17226/25979.
×
Page 124
Suggested Citation:"Appendix E: Glossary of Terms, Abbreviations, and Acronyms." National Academies of Sciences, Engineering, and Medicine. 2021. Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science. Washington, DC: The National Academies Press. doi: 10.17226/25979.
×
Page 125
Suggested Citation:"Appendix E: Glossary of Terms, Abbreviations, and Acronyms." National Academies of Sciences, Engineering, and Medicine. 2021. Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science. Washington, DC: The National Academies Press. doi: 10.17226/25979.
×
Page 126
Next: Appendix F: Committee Member Biographies »
Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science Get This Book
×
 Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science
Buy Paperback | $50.00 Buy Ebook | $40.99
MyNAP members save 10% online.
Login or Register to save!
Download Free PDF

The effective use of data science - the science and technology of extracting value from data - improves, enhances, and strengthens acquisition decision-making and outcomes. Using data science to support decision making is not new to the defense acquisition community; its use by the acquisition workforce has enabled acquisition and thus defense successes for decades. Still, more consistent and expanded application of data science will continue improving acquisition outcomes, and doing so requires coordinated efforts across the defense acquisition system and its related communities and stakeholders. Central to that effort is the development, growth, and sustainment of data science capabilities across the acquisition workforce.

At the request of the Under Secretary of Defense for Acquisition and Sustainment, Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science assesses how data science can improve acquisition processes and develops a framework for training and educating the defense acquisition workforce to better exploit the application of data science. This report identifies opportunities where data science can improve acquisition processes, the relevant data science skills and capabilities necessary for the acquisition workforce, and relevant models of data science training and education.

READ FREE ONLINE

  1. ×

    Welcome to OpenBook!

    You're looking at OpenBook, NAP.edu's online reading room since 1999. Based on feedback from you, our users, we've made some improvements that make it easier than ever to read thousands of publications on our website.

    Do you want to take a quick tour of the OpenBook's features?

    No Thanks Take a Tour »
  2. ×

    Show this book's table of contents, where you can jump to any chapter by name.

    « Back Next »
  3. ×

    ...or use these buttons to go back to the previous chapter or skip to the next one.

    « Back Next »
  4. ×

    Jump up to the previous page or down to the next one. Also, you can type in a page number and press Enter to go directly to that page in the book.

    « Back Next »
  5. ×

    Switch between the Original Pages, where you can read the report as it appeared in print, and Text Pages for the web version, where you can highlight and search the text.

    « Back Next »
  6. ×

    To search the entire text of this book, type in your search term here and press Enter.

    « Back Next »
  7. ×

    Share a link to this book page on your preferred social network or via email.

    « Back Next »
  8. ×

    View our suggested citation for this chapter.

    « Back Next »
  9. ×

    Ready to take your reading offline? Click here to buy this book in print or download it as a free PDF, if available.

    « Back Next »
Stay Connected!