2018 ESIP Summer Meeting

The EnviroSensing Cluster is currently focused on workflow improvement for sensor-based science, particularly in the areas of quality assurance (QA) and quality control (QC) to meet FAIR Data (Findable, Accessible, Interoperable, and Reusible) objectives. Provenance for sensor data begins at the procurement/deployment phase and ends with some level of quality-controlled output product. Capture of metadata for hardware deployment, field maintenance, and data transmission represents the bulk of QA work, whereas the subsequent evaluation and flagging of observation data represents the QC process. As part of a two-session series, we will have short presentations (5-10min/ea) on case studies of QA Metadata Capture and subsequent Data Quality Control workflows, followed by group discussion of efficacy and directions for improvement. A separate session on standards for sensor QA/QC metadata annotation and related protocols will follow up on these concepts.