With the development of technology and geospatial equipment, more and more work, particularly covering a big area survey and mapping work, are conducted with different worker and equipment, or heterogeneous time variation. With the traditional data quality focus on the geospatial data quality itself, which is not include the work files and organization. Facing the heterogeneous characteristics of geospatial data and work organization, a full life data quality workflow was proposed to manage and control geospatial data quality. The proposed workflow is extended to include the file preparation, quality evaluation, and quality calculation phrases. It is demonstrated in one real data quality project, which include vector data, raster data and other geospatial data covering 160 thousands square kilometers and 300 work zones finished by 8 teams. The usability and reliability were validated in our work.