Search (6 results, page 1 of 1)

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LCSH

Library science / Vocational guidance
Information science / Vocational guidance

Subject

Library science / Vocational guidance
Information science / Vocational guidance

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Date

17.10.2015 17:22:01

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Imprint

Burlington : Elsevier Science

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Abstract

In recent years there has been an increasing demand for research evaluation within universities and other research-based organisations. In parallel, there has been an increasing recognition that traditional citation-based indicators are not able to reflect the societal impacts of research and are slow to appear. This has led to the creation of new indicators for different types of research impact as well as timelier indicators, mainly derived from the Web. These indicators have been called altmetrics, webometrics or just web metrics. This book describes and evaluates a range of web indicators for aspects of societal or scholarly impact, discusses the theory and practice of using and evaluating web indicators for research assessment and outlines practical strategies for obtaining many web indicators. In addition to describing impact indicators for traditional scholarly outputs, such as journal articles and monographs, it also covers indicators for videos, datasets, software and other non-standard scholarly outputs. The book describes strategies to analyse web indicators for individual publications as well as to compare the impacts of groups of publications. The practical part of the book includes descriptions of how to use the free software Webometric Analyst to gather and analyse web data. This book is written for information science undergraduate and Master?s students that are learning about alternative indicators or scientometrics as well as Ph.D. students and other researchers and practitioners using indicators to help assess research impact or to study scholarly communication.

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Abstract

Aims to inform researchers about metrics so that they become aware of the evaluative techniques being applied to their scientific output. Understanding these concepts will help them during their funding initiatives, and in hiring and tenure. The book not only describes what indicators do (or are designed to do, which is not always the same thing), but also gives precise mathematical formulae so that indicators can be properly understood and evaluated. Metrics have become a critical issue in science, with widespread international discussion taking place on the subject across scientific journals and organizations. As researchers should know the publication-citation context, the mathematical formulae of indicators being used by evaluating committees and their consequences, and how such indicators might be misused, this book provides an ideal tome on the topic. Provides researchers with a detailed understanding of bibliometric indicators and their applications. Empowers researchers looking to understand the indicators relevant to their work and careers. Presents an informed and rounded picture of bibliometrics, including the strengths and shortcomings of particular indicators. Supplies the mathematics behind bibliometric indicators so they can be properly understood. Written by authors with longstanding expertise who are considered global leaders in the field of bibliometrics

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Content

Inhalt: 1 Introduction, Aims and Definitions -- 1.1 Origins -- 1.2 From information science to libraries -- 1.3 The central place of metadata -- 1.4 The book in outline -- 2 Metadata Basics -- 2.1 Introduction -- 2.2 Three types of metadata -- 2.2.1 Descriptive metadata -- 2.2.2 Administrative metadata -- 2.2.3 Structural metadata -- 2.3 The core components of metadata -- 2.3.1 Syntax -- 2.3.2 Semantics -- 2.3.3 Content rules -- 2.4 Metadata standards -- 2.5 Conclusion -- 3 Planning a Metadata Strategy: Basic Principles -- 3.1 Introduction -- 3.2 Principle 1: Support all stages of the digital curation lifecycle -- 3.3 Principle 2: Support the long-term preservation of the digital object -- 3.4 Principle 3: Ensure interoperability -- 3.5 Principle 4: Control metadata content wherever possible -- 3.6 Principle 5: Ensure software independence -- 3.7 Principle 6: Impose a logical system of identifiers -- 3.8 Principle 7: Use standards whenever possible -- 3.9 Principle 8: Ensure the integrity of the metadata itself -- 3.10 Summary: the basic principles of a metadata strategy -- 4 Planning a Metadata Strategy: Applying the Basic Principles -- 4.1 Introduction -- 4.2 Initial steps: standards as a foundation -- 4.2.1 'Off-the shelf' standards -- 4.2.2 Mapping out an architecture and serialising it into a standard -- 4.2.3 Devising a local metadata scheme -- 4.2.4 How standards support the basic principles -- 4.3 Identifiers: everything in its place -- 5 XML: The Syntactical Foundation of Metadata -- 5.1 Introduction -- 5.2 What XML looks like -- 5.3 XML schemas -- 5.4 Namespaces -- 5.5 Creating and editing XML -- 5.6 Transforming XML -- 5.7 Why use XML? -- 6 METS: The Metadata Package -- 6.1 Introduction -- 6.2 Why use METS?.