Mendeley出力
Data science in the public interest : improving government performance in the workforce / Joshua D. Hawley
| 資料タイプ | 電子ブック |
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| 出版者 | Kalamazoo, Michigan : W.E. Upjohn Institute for Employment Research |
| 出版年 | 2020 |
| 本文言語 | 英語 |
| 大きさ | 1 online resource (xiii, 137 pages) |
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| 内容注記 | Intro Title page Copyright page Contents List of Abbreviations Preface Acknowledgments 1 Workforce Data and Government 2 What Is the Role of Government in the Workforce? 3 Evidence-Based Decision Making 4 What Works in Performance Measurement: Improving the Use of Data in State and Local Workforce Systems Appendix 4A: Legal Regulations That Inform Data Sharing Appendix 4B: Governance Suggestions 5 Performance Management for Workforce Development 6 Improving Engagement and Methods to Strengthen Data Use References Author Index |
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| 一般注記 | "This book is about how new and underutilized types of big data sources can inform public policy decisions related to workforce development. Hawley describes how government is currently using data to inform decisions about the workforce at the state and local levels. He then moves beyond standardized performance metrics designed to serve federal agency requirements and discusses how government can improve data gathering and analysis to provide better, up-to-date information for government decision making"-- Provided by publisher Includes bibliographical references and index Description based on online resource; title from digital title page (viewed on July 30, 2020) |
| 著者標目 | *Hawley, Joshua D., |
| 件 名 | BSH:Electronic books LCSH:Manpower policy -- United States 全ての件名で検索 LCSH:Labor policy -- United States 全ての件名で検索 LCSH:Labor supply -- United States -- Statistical methods 全ての件名で検索 LCSH:Labor market -- United States -- Statistical methods 全ての件名で検索 LCSH:Big data FREE:Big data FREE:Labor market -- Statistical methods 全ての件名で検索 FREE:Labor policy FREE:Labor supply -- Statistical methods 全ての件名で検索 FREE:Manpower policy BISACSH:POLITICAL SCIENCE / Public Policy / Economic Policy FREE:United States |
| 分 類 | DC23:331.12/042028557 |
| 書誌ID | EB16354466 |
| ISBN | 0880996757 |