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Metadata Management in Statistical Information Processing

A Unified Framework for Metadata-Based Processing of Statistical Data Aggregates

  • Book
  • © 1997

Overview

Authors:
  1. Karl A. Froeschl

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

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Table of contents (5 chapters)

  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
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Keywords

About this book

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.

Authors and Affiliations

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

    Karl A. Froeschl

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