Scientific and Technical Information Transfer: Issues and Options

Abstract

In this study, we consider ways to more effectively transfer to potential users the knowledge produced by federally funded research in science and technology. Federal policymakers have been concerned that the information created through the billions of dollars spent annually by the federal government is not well utilized because of inadequacies in information transfer between the research and user communities. Recent literature suggests a number of problems contributing to this concern. First, the very low level of support for knowledge transfer in comparison to knowledge production suggests that dissemination efforts are not viewed as an important component of the R&D process. Second, there are mounting reports from users about difficulties in getting appropriate information in forms useful for problem-solving and decision-making. Third, rapid advances in many areas of science and technology (e.g., biotechnology, computer science) can be fully exploited only if they are quickly translated into further research and application. Such translation requires multidisciplinary, problem-focused communication of scientific information. Traditional transfer mechanisms do not provide that kind of communication. Finally, while the United States continues to be seen as dominant in basic research and development, concerns have arisen that foreign competitors may be better able to apply the results.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1984
Accession Number
ADA483961

Entities

People

  • Barbara E. Quint
  • Leland L. Johnson
  • Tora K. Bikson

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Biotechnology
  • Computer Science
  • Corporations
  • Governments
  • Information Operations
  • Information Transfer
  • Standards
  • United States

Readers

  • Defense Technology Research and Development.
  • Economics
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Biotechnology