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Managing data from multiple disciplines, scales, and sites to support synthesis and modeling

January 1, 1999

The synthesis and modeling of ecological processes at multiple spatial and temporal scales involves bringing together and sharing data from numerous sources. This article describes a data and information system model that facilitates assembling, managing, and sharing diverse data from multiple disciplines, scales, and sites to support integrated ecological studies. Cross-site scientific-domain working groups coordinate the development of data associated with their particular scientific working group, including decisions about data requirements, data to be compiled, data formats, derived data products, and schedules across the sites. The Web-based data and information system consists of nodes for each working group plus a central node that provides data access, project information, data query, and other functionality. The approach incorporates scientists and computer experts in the working groups and provides incentives for individuals to submit documented data to the data and information system.

Publication Year 1999
Title Managing data from multiple disciplines, scales, and sites to support synthesis and modeling
DOI 10.1016/S0034-4257(99)00060-7
Authors R. J. Olson, J. M. Briggs, J.H. Porter, Grant R. Mah, S.G. Stafford
Publication Type Article
Publication Subtype Journal Article
Series Title Remote Sensing of Environment
Index ID 70186962
Record Source USGS Publications Warehouse
USGS Organization Earth Resources Observation and Science (EROS) Center