GESMES/ECOSER User Guide PDF Download
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Author: Statistical Office of the European Communities
Publisher:
ISBN:
Category : Data structures (Computer science)
Languages : en
Pages : 294
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Book Description
Recoge: Part 1.: Guindance to Users -- Part 2.:Reference guide.
Author: Statistical Office of the European Communities
Publisher:
ISBN:
Category : Data structures (Computer science)
Languages : en
Pages : 294
Get Book Here
Book Description
Recoge: Part 1.: Guindance to Users -- Part 2.:Reference guide.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: European Communities. Statistical Office
Publisher:
ISBN:
Category :
Languages : en
Pages : 238
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author:
Publisher:
ISBN:
Category : Data structures (Computer science)
Languages : en
Pages : 0
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Book Description
Author: Comunità europee. Istituto statistico
Publisher:
ISBN:
Category :
Languages : en
Pages : 238
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Book Description
Author:
Publisher:
ISBN: 9789282701379
Category : European Union countries
Languages : en
Pages : 0
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Book Description
Author:
Publisher:
ISBN:
Category : European Union countries
Languages : en
Pages : 1292
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Book Description
Author: Statistical Office of the European Communities
Publisher:
ISBN:
Category : European Union countries
Languages : en
Pages : 184
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Book Description
Author: Karl A. Froeschl
Publisher: Springer
ISBN: 3709168562
Category : Computers
Languages : en
Pages : 546
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Book Description
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.
