DocumentCode
2121616
Title
Provenance and Reliability: Managing Metadata for Statistical Models
Author
Westlake, Andrew
Author_Institution
Centre for Transp. Studies, Imperial Coll., London
fYear
0
fDate
0-0 0
Firstpage
204
Lastpage
216
Abstract
In this paper we present a general model of the information (meta-data) needed to represent statistical modelling and its results. We discuss the design process for this model (in terms of both objectives and methodology), along with the resultant design. However, we recognise that it is not enough to design a static structure for the meta-data, we also need functionality to support the end users of the statistical results in exploring the provenance and reliability of the results. We have identified some generic functionality that is useful in this, but also recognise that its presentation must be tailored to the domain of interest and the level of understanding of the user
Keywords
data models; meta data; statistical databases; data provenance; data reliability; metadata management; statistical models; Bayesian methods; Code standards; Data engineering; Databases; Educational institutions; Government; Market research; Process design; Standards development; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Scientific and Statistical Database Management, 2006. 18th International Conference on
Conference_Location
Vienna
ISSN
1551-6393
Print_ISBN
0-7695-2590-3
Type
conf
DOI
10.1109/SSDBM.2006.42
Filename
1644316
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