—Sam Hooper, OSD/ATL DISDI
Geospatial data are widely recognized as a mission critical resource, but like other resources, geospatial data can exist in varying states of quality (e.g. accuracy, completeness, or currency). This variability impacts the usefulness of the data. At a minimum, the quality of the geospatial data must be known and documented. Today, forward thinking geospatial data programs are focused on controlling and documenting data quality throughout its lifecycle (generation, maintenance, and end use activities). This presentation describes a geospatial data quality framework that identifies quality management tools and processes to assure and control quality during geospatial data generation, maintenance, and end use.