Evolving the Data Management Workflow of GLODAP
However, as data volumes increase and key personnel in GLODAP data management retire, it is crucial to modernize the workflow that underpins the scientifically important GLODAP dataset. The time between GLODAP v1 and v2 releases was 12 years. Recognizing that such a gap is not acceptable, the GLODAP data team, which includes collaboration between NOAA, the University of Bergen and the CLIVAR and Carbon Hydrographic Data Office(CCHDO), is working to provide more frequent releases. In order to do this, GLODAP is looking to implement its own version of the successful SOCAT data automation workflow.
In this presentation, we will describe in detail how the GLODAP process will build on the SOCAT framework to provide data ingestion, verification, access and archival in support of FAIR data principles. We will discuss our plan to provide a simple method for data and metadata submission to data assembly centers in a way that reduces the burden of data management on scientists. Metadata and data will be interactively and programmatically validated during the submission process, and transformed into standards compliant formats suitable for user access, integration into synthesis products and archival.