OARS Outcome 1 QA/QC Resources
All Users
Definitions: QA, different levels of QC, uncertainty
Before you start: Reference to baseline and validation data sets
Existing Resources for other levels of the QA/QC process
Climate monitoring principles
Identifying outliers
Identifying and correcting for drift or bias
GOA-ON categories of measurement quality
Data QC flagging conventions
Propagation of uncertainty: lab measurement examples
Propagation of uncertainty: sensor measurement examples
Propagation of uncertainty: CO2Sys example
Data management principles
Overview of SDG 14.3.1 data reporting
Compiling metadata
Submitting to different NODCs
Prototype Sensors or Not Following Best Practices
Determining measurement uncertainty for those using prototype sensors or not following measurement best practices
Issues with glass electrode seawater pH measurements
Discrete Sample QC
Open-source tool for QC data
Autonomous Data QC
Identifying sensor issues (sensor failure, biofouling, etc.)






