Physical description |
1 online resource. |
Series |
Qualitative and quantitative analysis of scientific and scholarly communication, 2365-8371
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Qualitative and quantitative analysis of scientific and scholarly communication.
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Springer Computer Science eBooks 2017 English+International.
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Bibliography |
Includes bibliographical references. |
Contents |
Preface; Target Audience; Structure; Acknowledgements; Executive Summary; Contents; General Introduction and Synopsis; 1 Introduction; Abstract; 1.1 The Value and Limits of Informetric Indicators in Research Assessment; 1.2 A Short History of Bibliometrics and Informetrics; 1.2.1 The Start; 1.2.2 Recent Developments; 1.3 Basic Assumptions; 1.4 This Book's Main Topics; 1.5 Structure of Book; 1.6 A Note on Terminology; 1.7 Re-Use of Paragraphs of Previously Published Articles; 2 Synopsis; Abstract; 2.1 Part I. Introduction; 2.1.1 Chapter 1. |
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2.2 Part II. Informetric Indicators of Research Performance2.2.1 Chapter 3; 2.2.2 Chapter 4; 2.2.3 Chapter 5; 2.3 Part III. The Application Context; 2.3.1 Chapter 6; 2.3.2 Chapter 7; 2.3.3 Chapter 8; 2.4 Part IV. The Way Forward; 2.4.1 Chapter 9; 2.4.2 Chapter 10; Communication Effectiveness as a Precondition for Performance; Some New Indicators of Multi-dimensional Research Output; Definition of Minimum Performance Standards; Policy Towards World University Rankings; An Alternative Approach to Performance Based Funding; 2.4.3 Chapter 11; 2.4.4 Chapter 12. |
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Towards New Indicators of the Manuscript Peer Review ProcessTowards an Ontology-Based Informetric Data Management System; Towards Informetric Self-assessment Tools; Towards Informetric Models of Scientific Development; 2.5 Part V. Lectures; 2.5.1 Chapter 13; 2.5.2 Chapter 14; 2.5.3 Chapter 15; 2.5.4 Chapter 16; 2.5.5 Chapter 17; 2.6 Part VI. Papers; 2.6.1 Chapter 18; 2.6.2 Chapter 19; Informetric Indicators of Research Performance; 3 Multi-dimensional Research Performance; Abstract; 3.1 Introduction; 3.2 Research Outputs; 3.3 Research Impacts; 3.4 Research Infrastructure. |
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3.5 Summary Table of 28 Important Informetric Indicators4 Informetric Tools; Abstract; 4.1 Introduction; 4.2 Indicators; 4.2.1 Publication-based Indicators; 4.2.2 Citation-based Indicators; 4.2.3 Journal Metrics; 4.2.4 Patent-based Indicators; 4.2.5 Usage-based Indicators; 4.2.6 Altmetrics; 4.2.7 Webometric Indicators; 4.2.8 Economic Indicators; 4.2.9 Reputation and Esteem-based Indicators; 4.2.10 Indicators of Research Collaboration and Cross-Disciplinarity; 4.2.11 Indicators of Research Infrastructure; 4.3 Big Informetric Data; 4.4 Science Maps; 5 Statistical Aspects; Abstract. |
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5.1 Introduction5.2 Journal Impact Factors Are no Good Predictors of Citation Rates of Individual Articles; 5.2.1 Aftermath; 5.3 Errors or Biases in Data Samples; 5.4 How to Interpret Correlation Coefficients?; The Application Context; 6 Research Assessment as an Evaluation Science; Abstract; 6.1 Introduction; 6.2 Evaluation Science; 6.2.1 Research Versus Management Tools; 6.2.2 Comprehensive Theory of Change; 6.2.3 Performance Management Versus Evaluation; 6.2.4 Summative Versus Formative Evaluation; 6.2.5 Normative Versus Criterion Based Reference Framework. |
Summary |
This book presents an introduction to the field of applied evaluative informetrics, dealing with the use of bibliometric or informetric indicators in research assessment. It sketches the field's history, recent achievements, and its potential and limits. The book dedicates special attention to the application context of quantitative research assessment. It describes research assessment as an evaluation science, and distinguishes various assessment models, in which the domain of informetrics and the policy sphere are disentangled analytically. It illustrates how external, non-informetric factors influence indicator development, and how the policy context impacts the setup of an assessment process. It also clarifies common misunderstandings in the interpretation of some often used statistics. Addressing the way forward, the book expresses the author's critical views on a series of fundamental problems in the current use of research performance indicators in research assessment. Highlighting the potential of informetric techniques, a series of new features is proposed that could be implemented in future assessment processes. It sketches a perspective on altmetrics and proposes new lines in longer term, strategic indicator research. It is written for interested scholars from all domains of science and scholarship, and especially for all those subjected to research assessment, research students at advanced master and PhD level, research managers, funders and science policy officials, and to practitioners and students in the field. |
Other author |
SpringerLink (Online service), issuing body.
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Subject |
Information science -- Statistical methods.
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Electronic books. |
ISBN |
9783319605227 (electronic book) |
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3319605224 (electronic book) |
Standard Number |
10.1007/978-3-319-60522-7 |
ISBN |
9783319605210 |
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3319605216 |
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