OOI data quality procedures and tools building on the first year of operations

The Ocean Observatories Initiative (OOI) consists of seven research sites collecting ocean, seafloor, and meteorological data in the world's oceans, extending from the Irminger Sea to the Southern Ocean, and the East and West coasts of the United States. The Ocean Observatories Data Evaluation Team is part of the Cyberinfrastructure group at Rutgers University, tasked with reviewing the oceanographic and engineering data from over 1,200 instruments deployed throughout the OOI system, and ensuring that the data and metadata delivered by the OOI meets community data quality standards. They also work with the user community and marine engineers to identify, diagnose, and resolve data availability and data quality issues. Over the past year, building on the results of the first operational end-to-end quality audit that began in 2016, the data team has constructed a database of all data products, data streams, instruments, nodes, and platforms from every array (http://ooi.visualocean.net/). They are now using the OOI machine-to-machine (M2M) interface to download data, run them through several automated QC routines (https://github.com/ooi-data-review/), and then add annotations to every data product. The goal is to produce an availability and quality timeline for every data product that every user can access.