Metadata management for large statistical databases
Data description or metadata presents a significant database management challenge, particularly for scientific and statistical databases. Ideally, we would like 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, and principles and requirements for metadata management.
- Research Organization:
- Lawrence Berkeley Lab., CA (USA)
- DOE Contract Number:
- AC03-76SF00098
- OSTI ID:
- 5001482
- Report Number(s):
- LBL-14157; CONF-820984-4; ON: DE84008582
- Country of Publication:
- United States
- Language:
- English
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