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Date

27.12.2008 11:22:36

Isbn

3-89913-523-7

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Content

Inhalt: - Chapter 1: Classifying Science: 1.1. A Simple Classificatory Guideline - 1.2. The First "Cut" (and Plan of Work) - 1.3. Some Preliminaries - Chapter 2: Classifying Phenomena and Data: 2.1. Classifying Phenomena - 2.2. Classifying Data - Chapter 3: Classifying Theory: 3.1. Typology of Theory - 3.2. What Is a Theory? - 3.3. Evaluating Theories - 3.4. Types of Theory and the Five Types of Causation - 3.5. Classifying Individual Theories - 3.6. Advantages of a Typology of Theory - Chapter 4: Classifying Method: 4.1. Classifying Methods - 4.2. Typology of Strengths and Weaknesses of Methods - 4.3. Qualitative Versus Quantitative Analysis Revisited - 4.4. Evaluating Methods - 4.5. Classifying Particular Methods Within The Typology - 4.6. Advantages of a Typology of Methods - Chapter 5: Classifying Practice: 5.1. Errors and Biases in ScienceChapter - 5.2. Typology of (Critiques of) Scientific Practice - 5.3. Utilizing This Classification - 5.4. The Five Types of Ethical Analysis - Chapter 6: Drawing Connections Across These Classifications: 6.1. Theory and Method - 6.2. Theory (Method) and Phenomena (Data) - 6.3. Better Paradigms - 6.4. Critiques of Scientific Practice: Are They Correlated with Other Classifications? - Chapter 7: Classifying Scientific Documents: 7.1. Faceted or Enumerative? - 7.2. Classifying By Phenomena Studied - 7.3. Classifying By Theory Used - 7.4. Classifying By Method Used - 7.5 Links Among Subjects - 7.6. Type of Work, Language, and More - 7.7. Critiques of Scientific Practice - 7.8. Classifying Philosophy - 7.9. Evaluating the System - Chapter 8: Concluding Remarks: 8.1. The Classifications - 8.2. Advantages of These Various Classifications - 8.3. Drawing Connections Across Classifications - 8.4. Golden Mean Arguments - 8.5. Why Should Science Be Believed? - 8.6. How Can Science Be Improved? - 8.7. How Should Science Be Taught?

Date

7. 9.1996 17:35:55

Series

Information Science & Knowledge Management ; 7

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Date

22. 5.2007 10:37:38

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Footnote

Other selected specialized metadata element sets or schemas, such as Government Information Locator Service (GILS), are presented. Attention is brought to the different sets of elements and the need for linking up these elements across metadata schemes from a semantic point of view. It is no surprise, then, that after the presentation of additional specialized sets of metadata from the educational community and the arts sector, attention is turned to the discussion of Crosswalks between metadata element sets or the mapping of one metadata standard to another. Finally, the five appendices detailing elements found in Dublin Core, GILS, ARIADNE versions 3 and 3. 1, and Categories for the Description of Works of Art are an excellent addition to this chapter's focus on metadata and communities of practice. Chapters 3-6 provide an up-to-date account of the use of metadata standards in Libraries from the point of view of a community of practice. Some of the content standards included in these four chapters are AACR2, Dewey Decimal Classification (DDC), and Library of Congress Subject Classification. In addition, uses of MARC along with planned implementations of the archival community's encoding scheme, EAD, are covered in detail. In a way, content in these chapters can be considered as a refresher course on the history, current state, importance, and usefulness of the above-mentioned standards in Libraries. Application of the standards is offered for various types of materials, such as monographic materials, continuing resources, and integrating library metadata into local catalogs and databases. A review of current digital library projects takes place in Chapter 7. While details about these projects tend to become out of date fast, the sections on issues and problems encountered in digital projects and successes and failures deserve any reader's close inspection. A suggested model is important enough to merit a specific mention below, in a short list format, as it encapsulates lessons learned from issues, problems, successes, and failures in digital projects. Before detailing the model, however, the various projects included in Chapter 7 should be mentioned. The projects are: Colorado Digitization Project, Cooperative Online Resource Catalog (an Office of Research project by OCLC, Inc.), California Digital Library, JSTOR, LC's National Digital Library Program and VARIATIONS.