Metadata Management for Large Statistical Databases.
John L. McCarthy:
Metadata Management for Large Statistical Databases.
VLDB 1982: 234-243@inproceedings{DBLP:conf/vldb/McCarthy82,
author = {John L. McCarthy},
title = {Metadata Management for Large Statistical Databases},
booktitle = {Eigth International Conference on Very Large Data Bases, September
8-10, 1982, Mexico City, Mexico, Proceedings},
publisher = {Morgan Kaufmann},
year = {1982},
isbn = {0-934613-14-1},
pages = {234-243},
ee = {db/conf/vldb/McCarthy82.html},
crossref = {DBLP:conf/vldb/82},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
Data description or metadata presents a significant data- base management challenge, particularly for scientific and statistical databases. Ideally, we would llke to access and manipulate data and metadata using the same DBMS tools, but there are few systems that even begin to provide such integrated capabilities. This paper outlines a framework for more integrated metadata management by synthesizing ideas from statistical analysis, bibliographic retrieval, data dictionary, and database management systems. Drawing on experience and examples from a large statistical database project, the paper discusses and analyzes:
- general types and uses of data about data
- special types of metadata for statistical databases
- metadata structure and characteristics
- principles and requirements for metadata management
Copyright © 1982 by the VLDB Endowment.
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Online Paper
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BibTeX
Printed Edition
Eigth International Conference on Very Large Data Bases, September 8-10, 1982, Mexico City, Mexico, Proceedings.
Morgan Kaufmann 1982, ISBN 0-934613-14-1
Contents BibTeX
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Referenced by
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Characterization of Hierarchies and Some Operators in OLAP Environment.
DOLAP 1999: 54-59
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- Guy M. Lohman, Joseph C. Stoltzfus, Anita N. Benson, Michael D. Martin, Alfonso F. Cardenas:
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SIGMOD Conference 1983: 146-160
- Arie Shoshani:
Statistical Databases: Characteristics, Problems, and some Solutions.
VLDB 1982: 208-222
BibTeX
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