- Explain why early attempts to store geographic data in standard relational tables failed
- Evaluate the adequacy of contemporary proprietary database schemes to manage geospatial data
- Describe standards efforts relating to relational extensions, such as SQL:1999 and SQL-MM
- Evaluate the degree to which an available object-relational database management system approximates a true object-oriented paradigm
- Describe extensions of the relational model designed to represent geospatial and other semistructured data, such as stored procedures, Binary Large Objects (BLOBs), nested tables, abstract data types, and spatial data types
Data management involves the theories and techniques for managing the entire data lifecycle, from data collection to data format conversion, from data storage to data sharing and retrieval, to data provenance, data quality control and data curation for long-term data archival and preservation.
Topics in this Knowledge Area are listed thematically below. Existing topics are in regular font and linked directly to their original entries (published in 2006; these contain only Learning Objectives). Entries that have been updated and expanded are in bold. Forthcoming, future topics are italicized.