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010 a| 2022304195;

020 a| 9780309684934q| (paperback);

020 a| 0309684935q| (paperback);

020 z| 9780309684965q| (ebook);

035 a| (WaSeSS)ssj0002611554;

042 a| lccopycat;

049 a| EREEa| NEHH;

050 00 a| UC263b| .N33 2021;

110 2 a| National Academies of Sciences, Engineering, and Medicine (U.S.).b| Committee on Improving Defense Acquisition Workforce Capability in Data Use.?| UNAUTHORIZED;

245 10 a| Empowering the defense acquisition workforce to improve mission outcomes using data scienceh| [electronic resource] /c| 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.;

260 a| Washington, DC :b| The National Academies Press,c| [2021];

300 a| xx, 134 pages :b| illustrations (some color) ;c| 23 cm.;

490 1 a| Consensus study report of the National Academies of Sciences, Engineering, Medicine;

504 a| Includes bibliographical references.;

505 0 a| Summary -- 1. Introduction -- 2. Defense acquisition process data, and workforce: the short version -- 3. Data science and the data life cycle: the short version -- 4. Data science in DoD acquisition -- 5. Data life cycle mindset, skillset, and toolset: roles and teams -- 6. Preparing and sustaining a data-capable defence acquisition workforce -- 7. Finding, conclusions, and recommendations -- Appendixes -- 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;

506 a| Available only to authorized users.;

520 a| "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." --c| Provided by publisher;

538 a| Mode of access: World Wide Web;

610 10 a| United States.b| Department of Defensex| Procurement.=| ^A634641;

650 0 a| Data integration (Computer science)=| ^A1097910;

650 6 a| Intégration de données (Informatique);

650 7 a| Armed Forcesx| Procurement.2| fast0| (OCoLC)fst00814624;

650 7 a| Data integration (Computer science)2| fast0| (OCoLC)fst01763872;

655 0 a| Electronic books.=| ^A491897;

710 2 a| National Academies of Sciences, Engineering, and Medicine (U.S.).b| Board on Mathematical Sciences and Analytics.=| ^A1377536;

710 2 a| National Academies of Sciences, Engineering, and Medicine (U.S.).b| Committee on Applied and Theoretical Statistics.=| ^A1331683;

710 2 a| National Academies of Sciences, Engineering, and Medicine (U.S.).b| Air Force Studies Board.?| UNAUTHORIZED;

710 2 a| National Academies of Sciences, Engineering, and Medicine (U.S.).b| Computer Science and Telecommunications Board.=| ^A1378955;

710 2 a| National Academies of Sciences, Engineering, and Medicine (U.S.).b| Division on Engineering and Physical Sciences.?| UNAUTHORIZED;

710 2 a| National Academies of Sciences, Engineering, and Medicine (U.S.).b| Committee on National Statistics.=| ^A1323879;

710 2 a| National Academies of Sciences, Engineering, and Medicine (U.S.).b| Division of Behavioral and Social Sciences and Education.=| ^A1371669;

830 0 a| Consensus study report.=| ^A1363519;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=6717700;

947 a| (OCoLC)on1258782451;

949 a| CLICK ON WEB ADDRESSw| ASISh| JOYNER188;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6455947-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 7/20/2024x| EBOOKz| JERESOURCE;

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.

Author/creator	National Academies of Sciences, Engineering, and Medicine (U.S.).
Format	Electronic
Publication Info	Washington, DC : The National Academies Press, [2021]
Description	xx, 134 pages : illustrations (some color) ; 23 cm.
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	United States. Department of Defense--Procurement. Data integration (Computer science) Intégration de données (Informatique)

Other author/creator	National Academies of Sciences, Engineering, and Medicine (U.S.). Board on Mathematical Sciences and Analytics.
Other author/creator	National Academies of Sciences, Engineering, and Medicine (U.S.). Committee on Applied and Theoretical Statistics.
Other author/creator	National Academies of Sciences, Engineering, and Medicine (U.S.). Air Force Studies Board.
Other author/creator	National Academies of Sciences, Engineering, and Medicine (U.S.). Computer Science and Telecommunications Board.
Other author/creator	National Academies of Sciences, Engineering, and Medicine (U.S.). Division on Engineering and Physical Sciences.
Other author/creator	National Academies of Sciences, Engineering, and Medicine (U.S.). Committee on National Statistics.
Other author/creator	National Academies of Sciences, Engineering, and Medicine (U.S.). Division of Behavioral and Social Sciences and Education.
Series	Consensus study report of the National Academies of Sciences, Engineering, Medicine Consensus study report. ^A1363519
Contents	Summary -- 1. Introduction -- 2. Defense acquisition process data, and workforce: the short version -- 3. Data science and the data life cycle: the short version -- 4. Data science in DoD acquisition -- 5. Data life cycle mindset, skillset, and toolset: roles and teams -- 6. Preparing and sustaining a data-capable defence acquisition workforce -- 7. Finding, conclusions, and recommendations -- Appendixes -- 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
Abstract	"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." -- Provided by publisher
Bibliography note	Includes bibliographical references.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2022304195
ISBN	9780309684934 (paperback)
ISBN	0309684935 (paperback)
ISBN	(ebook)

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