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.