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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.)