- Demonstrate the importance of a clean, relatively error-free database (together with an appropriate geodetic framework) with the use of GIS software
- Exemplify scenarios in which one would need to perform a number of periodic changes in a real GIS database
- Explain how one would establish the criteria for monitoring the periodic changes in a real GIS database
- Discuss the implication of “long transactions” on database integrity
- Modify spatial and attribute data while ensuring consistency within the database
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.