TY  - BOOK
AU  - National Academies of Sciences,Engineering,and Medicine (U.S.).
AU  - National Academies of Sciences,Engineering,and Medicine (U.S.).
AU  - National Academies of Sciences,Engineering,and Medicine (U.S.).
AU  - National Academies of Sciences,Engineering,and Medicine (U.S.).
AU  - National Academies of Sciences,Engineering,and Medicine (U.S.).
AU  - National Academies of Sciences,Engineering,and Medicine (U.S.).
AU  - National Academies of Sciences,Engineering,and Medicine (U.S.).
TI  - Empowering the defense acquisition workforce to improve mission outcomes using data science /Committee on Improving Defense Acquisition Workforce Capability in Data Use ; Board on Mathematical Sciences and Analytics, Committee on Applied and Theoretical Statistics, Air Force Studies Board, Computer Science and Telecommunications Board, Division on Engineering and Physical Sciences ; Board on Higher Education and Workforce, Policy and Global Affairs ; Committee on National Statistics, Division of Behavioral and Social Sciences and Education
T2  - Consensus study report of the National Academies of Sciences, Engineering, Medicine
SN  - 9780309684941
AV  - UC263 .E476 2021
KW  - United States
KW  - Department of Defense
KW  - Procurement
KW  - Defense contracts
KW  - Public contracts
KW  - Government purchasing
KW  - Data integration (Computer science)
KW  - Electronic Books
N1  - 1; Defense acquisition process data, and workforce: the short version --; Data science and the data life cycle: the short version --; Data science in DoD acquisition --; Data life cycle mindset, skillset, and toolset: roles and teams --; Preparing and sustaining a data-capable defence acquisition workforce --; Finding, conclusions, and recommendations --; Appendix A. Meeting and workshop agendas --; Appendix B. Defence acquisition notes --; Appendix C. Data science case studies in defense acquisition --; Appendix D. Skills for data science mastery --; Appendix E. Glossary of terms, abbreviations, and acronyms --; Appendix F. Committee member biographies; 2; b
N2  - "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, this book 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" --
UR  - httpss://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3077688&site=eds-live&custid=s3260518
ER  -