- Describe how using standards can affect implementation of a GIS
- Explain how validation and verification processes can be used to maintain database integrity
- Summarize how data access processes can be a factor in development of an enterprise GIS implementation
- Describe effective methods to get stakeholders to create, adopt, or develop and maintain metadata for shared datasets
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.