**Please Note: If you sync you calendar, sessions will appear in your local time zone. This can be confusing until you arrive on site (when your local time zone will be the correct one).**
This workshop will share approaches for assuring the quality of LTER data. The reliability of scientific inquiry depends on the quality of the underlying data, so LTER sites have developed general and site-specific methods to improve data quality (QA/QC). Increases in the diversity and volume of ecological and environmental data make these methods more important than ever. Errors introduced during data collection (especially by automated instruments), transcription (particularly manually collected data), and subsequent processing must be corrected using efficient methods to inspect and clean the data. We will be presenting recent developments in specialized software (e.g., GCE Data Toolbox), metadata-driven checks (e.g., AND LTER), online-forms and automated scripts (e.g., VCR LTER), and the use of real-time visualization (e.g., EDI DataPIE project) to improve data quality. We’ll include discussion and development of plans to advance quality assurance and control techniques.
