Metadata Management in Statistical Information Processing

1. Front Matter

   Pages i-xii

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2. Prologue * Introduction

   • Karl A. Froeschl

   Pages 1-6

3. Needs, Tools, and the State of Research

   • Karl A. Froeschl

   Pages 7-90

4. Metastasys

   • Karl A. Froeschl

   Pages 91-278

5. Application Case I: Labour Force Statistics — Harmonizing Official Statistics Data

   • Karl A. Froeschl

   Pages 279-390

6. Application Case II: Tourism Statistics Strategic Management Information

   • Karl A. Froeschl

   Pages 391-514

7. Back Matter

   Pages 515-540

   PDF

As the integration of statistical data collected in various subject matter domains becomes more and more important in several socio-economic etc. investigation areas the management of so-called metadata – a formal digital processing of information about data – gains tremendously increasing relevance. Unlike current information technologies (e.g., database systems, computer networks, ...) facilitating merely the technical side of data collation, a coherent integration of empirical data still remains cumbersome, and thus rather costly, very often because of a lack of powerful semantic data models capturing the very meaning and structure of statistical data sets. Recognizing this deficiency, "Metadata Management" proposes a general framework for the computer-aided integration and harmonization of distributed heterogeneous statistical data sources, aiming at a truly comprehensive statistical meta-information system.

• database
• database system
• integration
• data structures

• Department of Statistics, Operations Research, and Computer Science, University of Vienna, Austria

  Karl A. Froeschl

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