Building a Data Ecosystem: A New Data Stewardship Paradigm for the Multi-Mission Algorithm and Analysis Platform (MAAP)

Bugbee, Kaylin ; Maskey, Manil ; Barciauskas, Aimee ; Ramachandran, Rahul ; Kaulfus, Aaron ; Roux, Jeanne le ; Miller, Jeffrey ; Gurung, Iksha ; Whitehurst, Amanda ; Lynnes, Chris

关键词: ADAPTIVE CONTROL;    ALGORITHMS;    BIOMASS;    CARBON;    COLLECTION;    DATA MANAGEMENT;    EARTH OBSERVATIONS (FROM SPACE);    ECOSYSTEMS;    EUROPEAN SPACE AGENCY;    GROUND STATIONS;    HETEROGENEITY;    METADATA;    SPACE MISSIONS;   

RP-ID  :  MSFC-E-DAA-TN65627

学科分类：社会科学、人文和艺术（综合）

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

New adaptive approaches to Earth observation data stewardship need to be adopted in order to allow for higher data volumes, heterogeneous data and constantly evolving technologies. The data ecosystem approach to stewardship offers a viable solution to this need by placing an emphasis on the relationships between data, technologies and people. In this paper, we present the Joint ESA-NASA Multi-Mission Algorithm and Analysis Platform’s (MAAP) creation of a data ecosystem to support global aboveground terrestrial carbon dynamics research. We present the components needed to support the MAAP data ecosystem along with two data stewardship workflows used in the MAAP and the development of extended metadata for MAAP.