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Collaborative Data Curation to Support the Multi-Mission Algorithm and Analysis Platform (MAAP)
- Publication Year :
- 2018
- Publisher :
- United States: NASA Center for Aerospace Information (CASI), 2018.
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Abstract
- Upcoming space-borne missions will offer unprecedented data about Earth but will also feature exponentially high data volumes. These high data volumes will change the way the scientific community works with data and will also create a unique need for improved data sharing and collaboration. NASA and ESA are working together to address these issues by collaboratively developing the Multi-Mission Algorithm and Analysis Platform (MAAP) to improve the understanding of global aboveground terrestrial carbon dynamics. The MAAP will support ESA’s BIOMASS mission, NASA’s GEDI mission and NASA/ISRO’s NISAR mission. The MAAP will be developed in two phases: a pilot phase and a full production phase. The pilot phase will demonstrate collaboration and basic capabilities. The pilot phase will focus on biomass relevant airborne and field campaign data. Two NASA teams are supporting the development of the MAAP. The MAAP engineering team is responsible for the development, maintenance and operations of the MAAP system while the MAAP data team ensures the ongoing quality of the data, metadata and other information provided in the MAAP. The MAAP data team also supports the ingest and archive of identified data to the MAAP platform. This poster describes the use case development process for the pilot MAAP and the data curated in support of those use cases. Additionally, this presentation will outline the pilot MAAP data ingest process and metadata curation effort along with efforts to ensure interoperability between ESA and NASA data and metadata.
- Subjects :
- Documentation And Information Science
Subjects
Details
- Language :
- English
- Database :
- NASA Technical Reports
- Notes :
- NNN12AA01C, , NNM11AA01A
- Publication Type :
- Report
- Accession number :
- edsnas.20180008482
- Document Type :
- Report