Metadata Management in Statistical Information Processing

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

  • Karl A. Froeschl

Table of contents

  1. Front Matter
    Pages i-xii
  2. Karl A. Froeschl
    Pages 1-6
  3. Karl A. Froeschl
    Pages 7-90
  4. Karl A. Froeschl
    Pages 91-278
  5. Back Matter
    Pages 515-540

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.


database database system integration

Authors and affiliations

  • Karl A. Froeschl
    • 1
  1. 1.Department of Statistics, Operations Research, and Computer ScienceUniversity of ViennaAustria

Bibliographic information

Industry Sectors
Finance, Business & Banking
IT & Software
Consumer Packaged Goods