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Using human resource data to track innovation : summary of a workshop / edited by Stephen A. Merrill and Michael McGeary ; Board on Science, Technology, and Economic Policy, Policy and Global Affairs, National Research Council.

Contributor(s): Material type: TextTextSeries: Compass series (Washington, D.C.)Publication details: Washington, D.C. : National Academy Press, ©2002.Description: 1 online resource (xii, 68 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 0309501946
  • 9780309501941
  • 9786610209507
  • 6610209502
Subject(s): Genre/Form: Additional physical formats: Print version:: Using human resource data to track innovation.DDC classification:
  • 338.06 22
LOC classification:
  • T173.8 .U56 2002eb
Online resources:
Contents:
I. What role for human resource data in tracking innovation? -- II. Principal sources of human resource data -- III. Research applications of human resource data -- IV. Enhancing the utility of human resource data.
Summary: "This volume is the summary of a second STEP workshop, chaired by board memder Mark Myers, formerly chief technical officer of Xerox Corporation. The workshop explored how data on scientists, engineers, and other professionals-data on their training and skills, mobility and career paths, use of time, relationships across institutions and sectors, and productivity-can be used to illuminate aspects of innovation that current R & D, patent and other data, by themselves, do not fully capture."--Page viii, Preface
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Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

Includes bibliographical references.

I. What role for human resource data in tracking innovation? -- II. Principal sources of human resource data -- III. Research applications of human resource data -- IV. Enhancing the utility of human resource data.

"This volume is the summary of a second STEP workshop, chaired by board memder Mark Myers, formerly chief technical officer of Xerox Corporation. The workshop explored how data on scientists, engineers, and other professionals-data on their training and skills, mobility and career paths, use of time, relationships across institutions and sectors, and productivity-can be used to illuminate aspects of innovation that current R & D, patent and other data, by themselves, do not fully capture."--Page viii, Preface

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