J6.4 The PMEL Integrated Data Management Strategy for Scientific Data

Tuesday, 24 January 2017: 4:45 PM
611 (Washington State Convention Center )
Eugene F Burger, PMEL, Seattle, WA; and K. M. O'Brien, A. Manke, K. Smith, and R. Schweitzer

NOAA’s Pacific Marine Environmental Laboratory (PMEL) hosts a wide range of scientific projects that span a number of scientific and environmental research disciplines. Each of these 14 research projects have their own data streams that are as diverse as the research, and collected using various platforms such as moorings, ships, UAVS, ROVS and innovative new platforms such as Saildrones and autonomous profilers. With its requirements for public access to federally funded research results and data, the 2013 White House Office of Science and Technology memo on Public Access to Research Results (PARR) changed the data landscape for Federal agencies. In 2015, with support from the PMEL Director, Dr. Christopher Sabine, PMEL’s Science Data Integration Group (SDIG) initiated a multi-year effort to formulate and implement an integrated data-management strategy for PMEL research efforts.

We focussed on strategies to provide PMEL science projects with a unified framework for data submission, interoperable data access, data storage, and easier data archival to National Data Centers. This improves data access to PMEL scientists, their collaborators, and the public, and also provides a unified lab framework that allows our projects to meet their data management objectives, as well as those required by the PARR.

We are implementing this solution in stages that allow us to test technology and architecture choices before embarking on a large scale implementation. SDIG developers have completed the first year of infrastructure implementation where our approach is to reuse and leverage existing frameworks and standards. This presentation will describe our data management strategy, explain our phased implementation approach, the software and framework choices, and how these elements help us meet the objectives of this strategy. We will share the lessons learned in dealing with diverse datasets and how these outcomes will shape our decisions for this ongoing effort. The data management capabilities now available to scientific projects, and other services being developed to manage and preserve PMEL’s scientific data assets for our researchers, their collaborators, and future generations, will be described.

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