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

R. J. Olson, J. M. Briggs, J. H. Porter, G. R. Mah, S. G. Stafford

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)99-107
Number of pages9
JournalRemote Sensing of Environment
Volume70
Issue number1
DOIs
StatePublished - Oct 1999

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