Henk F. Moed - Böcker

This handbook offers a state-of-the-art overview of quantitative science and technology research. It focuses on the development and application of indicators derived from data on scientific or scholarly publications and patents. It comprises 34 chapters written by leading specialists in the various sub-domains. These chapters deal with theoretical and methodological issues, illustrate applications, and highlight their policy context and relevance. Authors present a survey of the research topics they address, and show their most recent achievements. The 34 chapters are arranged into 5 parts: Disciplinary Approaches; General Methodology; The Science System; The Technology System; and The Science–Technology Interface. The Editor’s Introduction provides a further specification of the handbook’s scope and of the main topics addressed in its chapters. This handbook aims at four distinct groups of readers: – practitioners in the field of science and technology studies; – research students inthis field; – scientists, scholars and technicians who are interested in a systematic, thorough analysis of their activities; – policy makers and administrators who wish to be informed about the potentialities and limitations of the various approaches and about their results.

This book deals with the evaluation of scholarly research performance, and focuses on the contribution of scholarly work to the advancement of scholarly knowledge. It provides a wide range of important facts, and corrects a number of common misunderstandings about citation analysis. It introduces basic notions and distinctions, and deals both with theoretical and technical aspects, and with its applicability in various policy contexts. This book is also critical and underlines the limits of citation analysis in research evaluation. In order to be used properly as a research evaluation tool, it is essential that all participants have insight into the nature of citation analysis, how its indicators are constructed and calculated, what the various theoretical positions state about what they measure, and what are their potentialities and limitations, particularly in relation to peer review. This book aims at providing such insight.

This handbook presents the state of the art of quantitative methods and models to understand and assess the science and technology system. Focusing on various aspects of the development and application of indicators derived from data on scholarly publications, patents and electronic communications, the individual chapters, written by leading experts, discuss theoretical and methodological issues, illustrate applications, highlight their policy context and relevance, and point to future research directions.A substantial portion of the book is dedicated to detailed descriptions and analyses of data sources, presenting both traditional and advanced approaches. It addresses the main bibliographic metrics and indexes, such as the journal impact factor and the h-index, as well as altmetric and webometric indicators and science mapping techniques on different levels of aggregation and in the context of their value for the assessment of research performance as well as their impact onresearch policy and society. It also presents and critically discusses various national research evaluation systems.Complementing the sections reflecting on the science system, the technology section includes multiple chapters that explain different aspects of patent statistics, patent classification and database search methods to retrieve patent-related information. In addition, it examines the relevance of trademarks and standards as additional technological indicators.The Springer Handbook of Science and Technology Indicators is an invaluable resource for practitioners, scientists and policy makers wanting a systematic and thorough analysis of the potential and limitations of the various approaches to assess research and research performance.

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.

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.

This handbook offers a state-of-the-art survey of quantitative science and technology research. It focuses on the development and application of indicators derived from data on scientific publications and patents. Many contributions introduce new challenging approaches in the use of these indicators. The work deals with theoretical and methodological issues, and presents applications. Scientific or technological performance and productivity of the S&T system and S&T institutions are central to the underlying concept of this handbook, which illustrates how these measures can be used at the macro-level as well as in the management of organisations. In this context, various topics such as quality control in knowledge production, internationalisation of research, collaboration, knowledge networks and knowledge flows, multi- or interdisciplinarity, knowledge specialisation and integration, and participation of women are discussed. Several contributions address the crucial question of the relevance and use of S&T indicators in a policy context.