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  • × classification_ss:"06.35 Informationsmanagement"
  1. Gartner, R.: Metadata in the digital library : building an integrated strategy with XML (2021) 0.02
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    Abstract
    This book provides a practical introduction to metadata for the digital library, describing in detail how to implement a strategic approach which will enable complex digital objects to be discovered, delivered and preserved in the short- and long-term.
    The range of metadata needed to run a digital library and preserve its collections in the long term is much more extensive and complicated than anything in its traditional counterpart. It includes the same 'descriptive' information which guides users to the resources they require but must supplement this with comprehensive 'administrative' metadata: this encompasses technical details of the files that make up its collections, the documentation of complex intellectual property rights and the extensive set needed to support its preservation in the long-term. To accommodate all of this requires the use of multiple metadata standards, all of which have to be brought together into a single integrated whole.
    Metadata in the Digital Library is a complete guide to building a digital library metadata strategy from scratch, using established metadata standards bound together by the markup language XML. The book introduces the reader to the theory of metadata and shows how it can be applied in practice. It lays out the basic principles that should underlie any metadata strategy, including its relation to such fundamentals as the digital curation lifecycle, and demonstrates how they should be put into effect. It introduces the XML language and the key standards for each type of metadata, including Dublin Core and MODS for descriptive metadata and PREMIS for its administrative and preservation counterpart. Finally, the book shows how these can all be integrated using the packaging standard METS. Two case studies from the Warburg Institute in London show how the strategy can be implemented in a working environment. The strategy laid out in this book will ensure that a digital library's metadata will support all of its operations, be fully interoperable with others and enable its long-term preservation. It assumes no prior knowledge of metadata, XML or any of the standards that it covers. It provides both an introduction to best practices in digital library metadata and a manual for their practical implementation.
    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?.
  2. Beyond bibliometrics : harnessing multidimensional indicators of scholarly intent (2014) 0.02
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    Abstract
    Bibliometrics has moved well beyond the mere tracking of bibliographic citations. The web enables new ways to measure scholarly productivity and impact, making available tools and data that can reveal patterns of intellectual activity and impact that were previously invisible: mentions, acknowledgments, endorsements, downloads, recommendations, blog posts, tweets. This book describes recent theoretical and practical advances in metrics-based research, examining a variety of alternative metrics -- or "altmetrics" -- while also considering the ethical and cultural consequences of relying on metrics to assess the quality of scholarship. Once the domain of information scientists and mathematicians, bibliometrics is now a fast-growing, multidisciplinary field that ranges from webometrics to scientometrics to influmetrics. The contributors to Beyond Bibliometrics discuss the changing environment of scholarly publishing, the effects of open access and Web 2.0 on genres of discourse, novel analytic methods, and the emergence of next-generation metrics in a performance-conscious age.
    Content
    Inhalt: Scholars and scripts, spoors and scores / Blaise CroninHistory and evolution of (biblio)metrics / Nicola De Bellis -- The citation : from culture to infrastructure / Paul Wouters -- The data it is me! / Ronald E. Day -- The ethics of evaluative bibliometrics / Jonathan Furner -- Criteria for evaluating indicators / Yves Gingras -- Obliteration by incorporation / Katherine W. McCain -- A network approach to scholarly evaluation / Jevin D. West and Daril A. Vilhena -- Science visualization and discursive knowledge / Loet Leydesdorff -- Measuring interdisciplinarity / Vincent Larivière and Yves Gingras -- Bibliometric standards for evaluating research institutes in the natural sciences / Lutz Bornmann, Benjamin E. Bowman, Jonathan Bauer, Werner Marx, Hermann Schier and Margit Palzenberger -- Identifying and quantifying research strengths using market segmentation / Kevin W. Boyack and Richard Klavans -- Finding and recommending scholarly articles / Michael J. Kurtz and Edwin A. Henneken -- Altmetrics / Jason Priem -- Web impact measures for research assessment / Kayvan Kousha and Mike Thelwall -- Bibliographic references in Web 2.0 / Judit Bar-Illan, Hadas Shema and Mike Thelwall -- Readership metrics / Stefanie Haustein -- Evaluating the work of judges / Peter Hook -- Academic genealogy / Cassidy R. Sugimoto -- A publishing perspective on bibliometrics / Judith Kamalski, Andrew Plume and Mayur Amin -- Science metrics and science policy / Julia Lane, Mark Largent and Rebecca Rosen.
  3. Introducing information management : an information research reader (2005) 0.01
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    Footnote
    The chapter by Wilson and Maceviciûtè should have been the first in the book, as it offers an informative, clearly laid out, research-based picture for IM. The chapter offers IM definitions, as mentioned earlier, and also covers a couple of major studies concerned with mapping diversity of content and topics studied in the IM field. RefViz, a visualization tool and an addition to EndNote, was used to map 462 articles published between 1999 and 2004 that had the term information management in their title. Figure 2.1 (Visualization of the IM literature), presents the map's 18 groups or clusters of documents. Two studies by Wilson also are presented. A study completed in 2004 covered the years 2000 to 2004 and reviewed five journals with articles about information activities. The 2004 study analyzed 190 articles from 383 authors. Wilson developed a number of categories about information activities as part of the 2000 and 2004 studies that indicate the scope of the articles analyzed and IM's diversity of subject matter. The remainder of the chapter presents comparative data between the 2000 and 2004 research studies. Joyce Kirk provides a hierarchy of five IM definitions. "IM as IT systems" and "information resource management" are two of these definitions. While it is difficult to clearly recognize any of the hierarchy statements as a definition for IM, what can be had from this hierarchy is the realization, as cviu te' and Wilson state in chapter 2, that IM "is used as an abbreviation for the management of IT, information systems management, management information systems, etc." (p. 20). Perhaps, the critical usefulness of the chapter resides not so much in that it offers any ready to apply definitions for IM but rather in that it provides an overall review about information. The latter can be helpful for a book intended as an information research reader and as an introduction to IM. WidenWulff examined 15 Finnish insurance businesses and developed scales for the measurement of open and closed organizations, and also presented learning organization attributes in different information environments. A 1999 study by Aiki Tibar about critical success factors (CSF) and information needs of successful Estonian companies is the centerpiece of the chapter. The study's findings are presented in relation to previous and more recent research on CSF. The study's methodology was qualitative in nature, involving semistructured interviews with managers and engineers from 25 of the most successful companies in Estonia; these companies were selected in a contest in 1998 as being included in the top 50 most successful companies. In terms of findings, IM was a CFS that was mentioned the most frequently.
  4. Borgman, C.L.: Big data, little data, no data : scholarship in the networked world (2015) 0.01
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    Abstract
    "Big Data" is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six "provocations" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.
  5. Knowledge organization for a global learning society : Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria (2006) 0.01
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    Content
    Enthält die Beiträge: Zins, C.: Knowledge map of information science: issues, principles, implications. - Lin, X., S. Aluker u. W. Zhu u.a.: Dynamic concept representation through a visual concept explorer. - Kohlbacher, F.: Knowledge organization(s) in Japan: empirical evidence from Japanese and western corporations. - Beghtol, C.: The global learning society and the iterative relationship between theory and practice in knowledge organization systems. - Tennis, J.T.: Function, purpose, predication, and context of information organization frameworks. - Doyle, A.: Naming and reclaiming knowledges in public intersections of landscapes and experience. - Qin, J., P. Creticos u. W.Y. Hsiao: Adaptive modeling of workforce domain knowledge. - Gnoli, C.: The meaning of facets in non-disciplinary classifications. - Loehrlein, A., E.K. Jacob u. S. Lee u.a.: Development of heuristics in a hybrid approach to faceted classification. - Thellefsen, M.: The dynamics of information representation and knowledge mediation. - LaBarre, K.: A multi faceted view: use of facet analysis in the practice of website organization and access. - Smiraglia, R.P.: Empiricism as the basis for metadata categorisation: expanding the case for instantiation with archival documents. - Bean, C.A.: Hierarchical relationships used in mapping between knowledge structures. - Friedman, A.: Concept mapping a measurable sign. - Naumis Pena, C.: Evaluation of educational thesauri. - Biagetti, M.T.: Indexing and scientific research needs. - Robert, C.A., A. Davis: Annotation and its application to information research in economic intelligence. - Mcllwaine, I.C., J.S. Mitchel: The new ecumenism: exploration of a DDC / UDC view of religion. - Hajdu Barát, A.: Usability and the user interfaces of classical information retrieval languages. - Eito Brun, R.: Uncovering hidden clues about geographic visualization in LCC. - Williamson, N.J.: Knowledge structures and the Internet progress and prospects. - Pajarillo, E.J.Y.: A classification scheme to determine medical necessity: a knowledge organization global learning application. - López-Huertas, M.J.: Thematic map of interdisciplinary domains based on their terminological representation: the gender studies. - Rodriguez Bravo, B.: The visibility of women in indexing languages. - Beall, J., D. Vizine-Goetz: Finding fiction: facilitating access to works of the imagination scattered by form and format. - Kwasnik, B.H., Y.L. Chun u. K. Crowston u.a.: Challenges in ceating a taxonomy of genres of digital documents. - Simon, J.: Interdisciplinary knowledge creation: using wikis in science. - Gabel, J.: Improving information retrieval of subjects through citation-analysis: a study. - Lee, H.L.: Navigating hierarchies vs. searching by keyword: two cultural perspectives. - Loehrlein, A., R. Martin u. E.L. Robertson: Integration of international standards in the domain of manufacturing enterprise. -
    Date
    27.12.2008 11:22:36
  6. Scholarly metrics under the microscope : from citation analysis to academic auditing (2015) 0.01
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    Date
    22. 1.2017 17:12:50
  7. Dominich, S.: Mathematical foundations of information retrieval (2001) 0.00
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    Date
    22. 3.2008 12:26:32
  8. Handbook of metadata, semantics and ontologies (2014) 0.00
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    Abstract
    Metadata research has emerged as a discipline cross-cutting many domains, focused on the provision of distributed descriptions (often called annotations) to Web resources or applications. Such associated descriptions are supposed to serve as a foundation for advanced services in many application areas, including search and location, personalization, federation of repositories and automated delivery of information. Indeed, the Semantic Web is in itself a concrete technological framework for ontology-based metadata. For example, Web-based social networking requires metadata describing people and their interrelations, and large databases with biological information use complex and detailed metadata schemas for more precise and informed search strategies. There is a wide diversity in the languages and idioms used for providing meta-descriptions, from simple structured text in metadata schemas to formal annotations using ontologies, and the technologies for storing, sharing and exploiting meta-descriptions are also diverse and evolve rapidly. In addition, there is a proliferation of schemas and standards related to metadata, resulting in a complex and moving technological landscape - hence, the need for specialized knowledge and skills in this area. The Handbook of Metadata, Semantics and Ontologies is intended as an authoritative reference for students, practitioners and researchers, serving as a roadmap for the variety of metadata schemas and ontologies available in a number of key domain areas, including culture, biology, education, healthcare, engineering and library science.

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