| LDR | | 05931cmm u2200685Ii 4500 |
| 001 | | 000000321941 |
| 003 | | OCoLC |
| 005 | | 20230613111937 |
| 006 | | m d |
| 007 | | cr |n||||||||| |
| 008 | | 210907t20212021dcua ob 000 0 eng d |
| 019 | |
▼a 1267763371 |
| 020 | |
▼a 9780309684941
▼q (electronic book) |
| 020 | |
▼a 0309684943
▼q (electronic book) |
| 020 | |
▼z 9780309684934
▼q (hardback) |
| 020 | |
▼a 0309684935 |
| 020 | |
▼a 030968496X |
| 020 | |
▼a 9780309684965
▼q (electronic bk.) |
| 035 | |
▼a 3077688
▼b (N$T) |
| 035 | |
▼a (OCoLC)1267384841
▼z (OCoLC)1267763371 |
| 040 | |
▼a YDX
▼b eng
▼e rda
▼e pn
▼c YDX
▼d YDX
▼d GWL
▼d N$T
▼d EBLCP
▼d UKAHL
▼d 248032 |
| 043 | |
▼a n-us--- |
| 049 | |
▼a MAIN |
| 050 | 4 |
▼a UC263 |
| 082 | 04 |
▼a 355.6/2120973
▼2 23 |
| 245 | 00 |
▼a Empowering the defense acquisition workforce to improve mission outcomes using data science /
▼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.
▼h [electronic resource] |
| 264 | 1 |
▼a Washington, DC :
▼b The National Academies Press,
▼c [2021] |
| 264 | 4 |
▼c 짤2021 |
| 300 | |
▼a 1 online resource (xx, 134 pages) :
▼b illustrations. |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
| 337 | |
▼a computer
▼b c
▼2 rdamedia |
| 338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
| 490 | 1 |
▼a Consensus study report of the National Academies of Sciences, Engineering, Medicine |
| 504 | |
▼a Includes bibliographical references. |
| 505 | 0 |
▼a 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 |
| 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, 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" --
▼c Provided by the publisher |
| 588 | |
▼a Description based on online resource; title from title screen (viewed December 2, 2021). |
| 590 | |
▼a OCLC control number change - WorldCat record variable field(s) change: 082 |
| 610 | 10 |
▼a United States.
▼b Department of Defense
▼x Procurement. |
| 650 | 0 |
▼a Defense contracts
▼z United States. |
| 650 | 0 |
▼a Public contracts
▼z United States. |
| 650 | 0 |
▼a Government purchasing
▼z United States. |
| 650 | 0 |
▼a Data integration (Computer science) |
| 655 | 4 |
▼a Electronic books. |
| 710 | 2 |
▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Board on Mathematical Sciences and Analytics,
▼e issuing body. |
| 710 | 2 |
▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Committee on Applied and Theoretical Statistics,
▼e issuing body. |
| 710 | 2 |
▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Air Force Studies Board,
▼e issuing body. |
| 710 | 2 |
▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Computer Science and Telecommunications Board.,
▼e issuing body. |
| 710 | 2 |
▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Division on Engineering and Physical Sciences.,
▼e issuing body. |
| 710 | 2 |
▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Committee on National Statistics.,
▼e issuing body. |
| 710 | 2 |
▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Division of Behavioral and Social Sciences and Education.,
▼e issuing body. |
| 776 | 08 |
▼i Print version:
▼a National Academies of Sciences, Engineering, and Medicine
▼t Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science
▼d Washington, D.C. : National Academies Press,c2021
▼z 9780309684934 |
| 830 | 0 |
▼a Consensus study report. |
| 856 | 40 |
▼3 EBSCOhost
▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3077688 |
| 938 | |
▼a YBP Library Services
▼b YANK
▼n 302555103 |
| 938 | |
▼a YBP Library Services
▼b YANK
▼n 17628170 |
| 938 | |
▼a Askews and Holts Library Services
▼b ASKH
▼n AH39337956 |
| 938 | |
▼a ProQuest Ebook Central
▼b EBLB
▼n EBL6717700 |
| 938 | |
▼a EBSCOhost
▼b EBSC
▼n 3077688 |
| 990 | |
▼a 관리자 |
| 994 | |
▼a 92
▼b N$T |