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





Document ID
20190028676
Acquisition Source
Marshall Space Flight Center
Document Type
Conference Paper
Authors
Bugbee, Kaylin
(Alabama Univ. Huntsville, AL, United States)
Maskey, Manil
(NASA Marshall Space Flight Center Huntsville, AL, United States)
Barciauskas, Aimee
(Development Seed Washington, DC, United States)
Ramachandran, Rahul
(NASA Marshall Space Flight Center Huntsville, AL, United States)
Kaulfus, Aaron
(Alabama Univ. Huntsville, AL, United States)
Roux, Jeanne le
(Alabama Univ. Huntsville, AL, United States)
Miller, Jeffrey
(Alabama Univ. Huntsville, AL, United States)
Gurung, Iksha
(Alabama Univ. Huntsville, AL, United States)
Whitehurst, Amanda
(ASRC Federal Holding Company Beltsville, MD, United States)
Lynnes, Chris
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 1, 2019
Publication Date
July 28, 2019
Subject Category
Documentation And Information Science
Report/Patent Number
MSFC-E-DAA-TN65627
Meeting Information
Meeting: IEEE Geoscience and Remote Sensing Symposium
Location: Yokohama
Country: Japan
Start Date: July 28, 2019
End Date: August 2, 2019
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
CONTRACT_GRANT: NNM11AA01A
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Single Expert
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