A Formal Metadata Approach
  • Karl A. Froeschl


The systems analysis of statistical information processing (comprising data pro­duction, data storage, as well as data delivery and consumption) of Section 1.5 leads up to a grand design of a generic statistical information system. This design aims, first of all, at a rather general description format — an encompassing language to talk about empirical data, in fact — in order to explicate formally the linguistic structure of the datasets piled up in fairly huge data stocks which, thus, provide a digitized world image, or mirror, open to analytic scrutiny. However, unless con­densed appropriately to supercodes, or “reduced” statistically [Ehrenberg, 1975], the bulks of data remain rather incomprehensible cognitively. Therefore, data need to be viewed conceptually or, metaphorically, through statistical windows express­ing particular investigative interests or research questions. In pragmatic terms, hence, a statistical information system behaves as a question-answering device re­turning answers, that is: statistical aggregates, to specific questions (data views).


Statistical Aggregate Domain Concept Search Stage Resolution Plan META Derivation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Wien 1997

Authors and Affiliations

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

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