Metadata Management in Statistical Information Processing A Unified Framework for Metadata-Based Processing of Statistical Data Aggregates / [electronic resource] :
by Karl A. Froeschl.
- 1st ed. 1997.
- XII, 537 p. 98 illus. online resource.
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.
9783709168561
10.1007/978-3-7091-6856-1 doi
Information storage and retrieval. Data structures (Computer science). Computers. Database management. Economic theory. Information Storage and Retrieval. Data Structures. Models and Principles. Database Management. Economic Theory/Quantitative Economics/Mathematical Methods.