Research Evaluation and the Generation of Big Science Policy
Bibliographic Data
| ID | 11277673 |
|---|---|
| Authors | D E Chubin (0000-0003-2535-3825, U. S. Congress, Office of Technology Assessment, corresponding author) |
| Year | 1987 |
| Volume | 9 |
| Issue | 2 |
| Pages | 254-277 |
| Publication date | 1987-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Knowledge (JOURNAL) |
| Journal identifiers | ISSN: 0164-0259 • E-ISSN: 2673-9585 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0164025987009002006 |
| OpenAlex | W2005862362 |
| Language | EN |
| Citations received | 4 |
| References cited | 54 |
The quantitative evaluation of science, now in its second generation, has become a policy-oriented specialty. Second-generation bibliometrics, as represented by several new approaches, has transformed the analysis of publication and citation data into a sophisticated tool for comprehending the complexity of the scientific enterprise and for addressing practical issues on the national and world science policy agenda. By developing quantitative measures of research performance, second-generation bibliometrics has improved the scope and relevance of science output indicators and, to a lesser degree, indicators of the institutional structures that mediate science and society. These improved output measures are essential components of social impact of science (SIS) indicators, which represent in quantitative terms the conjunction of science indicators derived from second-generation bibliometrics and available social indicators
Bibliometrics · Citation · Data science · Library science · Management science · Political science · Relevance (law · Science policy · Scientometrics · Scope (computer science · Academic Publishing and Open Access · Computer Science · Conferences and Exhibitions Management · Engineering · Public Administration · scientometrics and bibliometrics research
Knowledge and Policy
Little Science, Big Science
Is citation analysis a legitimate evaluation tool?
Networks of Scientific Papers
The Structure of Scientific Literatures I
Co‐citation in the scientific literature
Social Science and Public Policy
Science and Technology Policy
Quantitative Measures of Communication in Science
A Co-Citation Model of a Scientific Specialty
Content Analysis of References
The State of a Science
Evaluating the Evaluators
Some Results on the Function and Quality of Citations
A Critique of Irvine and Martin's Methodology for Evaluating Big Science
Cited Documents as Concept Symbols
Usable Knowledge
The Cancer Mission
Consulting critics
Criteria for scientific choice
The development of a scientific specialty
The Group Structure of Cocitation Clusters
Science Indicators and Science Priorities
The Scientific State
Astronomy Transformed
Is Technology Historically Independent of Science? A Study in Statistical Historiography
From translations to problematic networks
Toward a Metric of Science
State of the Field The Conceptualization of Scientific Specialties
| Unique citing works | 4 |
|---|---|
| Citations per year | 0,11 |
| Citation span | 1990 - 2011 (22) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 4 |