The GSFC Earth Science Data and Information Services Center (GES DISC) Approach to Managing MeaSURES Data

"A major need stated by the NASA Earth science research strategy is to develop long-term, consistent, and calibrated data and products that are valid across multiple missions and satellite sensors." (NASA Solicitation for Making Earth System data records for Use in Research Environments (MEaSUREs) 2006-2010) Through the MEaSUREs Program, selected projects create long term records of a given parameter, called Earth Science Data Records (ESDRs), based on mature algorithms that bring together continuous multi-sensor data. Once the results, the ESDRs, associated algorithms and validation activity have been vetted by the appropriate community, ESDRs are archived at a NASA affiliated data center for archive, stewardship, and distribution. See http://measures-projects.gsfc.nasa.gov/ for more details. This presentation describes the NASA GSFC Earth Science Data and Information Services Center (GES DISC) approach to managing the MEaSUREs ESDR datasets that have been assigned to GES DISC data center. Based upon a long history of implementing, integrating, and improving Earth science data systems, the GES DISC will utilize this experience to integrate existing and proven reusable data management components to accommodate the new ESDR datasets. These components include a data archive system (S4PA), a data discovery and access system (Mirador), and various web services that facilitate the access and usage of MEaSUREs datasets. In addition, if it is determined to be useful to the user community, a data exploration tool (Giovanni) will be made available for MEaSUREs data sets supported through the GES DISC. The GES DISC data integration methodology to be used for the MEaSUREs datasets has been proven successful for previous data integrations into the GES DISC. The goals of this presentation are to share an approach to ESDR integration, and initiate discussions amongst the data centers, data managers and data providers for the purpose of gaining efficiencies in data management for MEaSUREs projects.