EOL's Data Management and Services facility offers comprehensive data management, archival, and stewardship services to the observational research community. NSF-funded research teams rely on DMS to facilitate the development and implementation of tailored but comprehensive data management plans that comply with NSF expectations.
DMS provides data management support through all phases of a field campaign, including the long-term data analysis phase. DMS provides a secure, easily accessible archive of the collected data at the completion of a field deployment, including those from non-EOL sources. DMS is also responsible for developing and stewarding EOL's data services and collaborative tools. Together, our software engineers, archivists, and data services providers design and implement data management systems that allow you to spend less time worrying about your data and more time interpreting it.
DMS staff work with each Principal Investigator team to develop a Project Data Management Plan and a Project Data Policy to facilitate data sharing across the team while ensuring project data archival and investigator attribution. DMS collects supporting data and products in the field and makes them available in real-time for mission planning and in-field decision-making. DMS also provides real-time monitoring and decision-making tools on the ground and on-board the NSF/NCAR research aircraft.
The EOL Field Catalog provides a web-based tool for collecting, organizing, and presenting reports; quick-look data products from operational, research, and model-generated sources; and status information during the field phase of an observational experiment. The Field Catalog serves as the online hub for field project operations and has links to real-time mission coordination displays and communication tools. It also provides real-time visualization of data from varying temporal and spatial resolutions and allows researchers to interact with one another to guide the mission from anywhere in the world.
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DMS archives project datasets on high-performance, redundant, and fault-tolerant storage systems in collaboration with NCAR’s Computational Information Systems Laboratory. The EOL Field Data Archive builds advanced functionality, such as data discovery, browsing, and subsetting into our data distribution systems upfront. It generates metadata from datasets in various formats, which facilitates broad data discovery and allows data to be linked to those from other organizations, thereby spreading its use and ensuring a long-lasting scientific legacy. The archive provides long-term stewardship and curation of observational datasets.
