1. Building a Data Ecosystem: A New Data Stewardship Paradigm for the Multi-Mission Algorithm and Analysis Platform (MAAP)
- Author
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Aaron Kaulfus, Christopher Lynnes, Jeffrey Miller, Aimee Barciauskas, Rahul Ramachandran, Kaylin Bugbee, Iksha Gurung, Amanda Whitehurst, Manil Maskey, and Jeanne le Roux
- Subjects
Metadata ,Earth observation ,Workflow ,010504 meteorology & atmospheric sciences ,Computer science ,05 social sciences ,Stewardship ,0509 other social sciences ,050904 information & library sciences ,01 natural sciences ,Algorithm ,Data ecosystem ,0105 earth and related environmental sciences - Abstract
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.
- Published
- 2019