Collection to Archival: A Data Management Strategy for the Ocean Acidification Community

Karl Matthew Smith, JISAO, Univ. of Washington, Seattle, WA, United States, Arthur Rost Parsons, NOAA/NESDIS/NCEI-MS, Stennis Center, MS, United States, Richard H Wanninkhof, NOAA Atlantic Oceanographic and Meteorological Laboratory, Ocean Chemistry and Ecosystems Division, Miami, FL, United States, Eugene F Burger, NOAA Pacific Marine Environmental Laboratory, Seattle, WA, United States, Kevin O'Brien, University of Washington Seattle Campus, JISAO, Seattle, WA, United States, Leticia Barbero, NOAA Atlantic Oceanographic and Meteorological Laboratory, Ocean Chemistry and Ecosystems Division, Miami, United States, Roland Schweitzer, Self Employed, Washington, DC, United States and Ansley B Manke, NOAA Seattle, Seattle, WA, United States
Abstract:
Recently new data collection platforms, many of them autonomous mobile platforms, have added immensely to the data volume the Ocean Acidification community is dealing with. This is no exception with NOAA’s Pacific Marine Environmental Laboratory (PMEL) Ocean Acidification (OA) effort. Collaboration between the PMEL Carbon group and the PMEL Science Data Integration group to manage local data has spawned the development of a data management strategy that covers the data lifecycle from collection to analysis to quality control to archival. The proposed software and workflow will leverage the successful data management framework pioneered by the Surface Ocean CO2 Atlas (SOCAT) project, but customized for Ocean Acidification requirements.

This presentation will give a brief overview of the data management framework that will be implemented for Ocean Acidification data that are collected by PMEL scientists. We will also be discussing our plans to leverage this system to build an east coast ocean acidification management system at NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML), as well as a national OA management system at NOAA’s National Oceanographic Data Center (NODC).