Data and Metadata Brokering – Theory and Practice from the BCube Project

Authors

DOI:

https://doi.org/10.5334/dsj-2017-001

Keywords:

interoperability, brokering, middleware, EarthCube, cross-domain, socio-technical

Abstract

EarthCube is a U.S. National Science Foundation initiative that aims to create a cyberinfrastructure (CI) for all the geosciences. An initial set of “building blocks” was funded to develop potential components of that CI. The Brokering Building Block (BCube) created a brokering framework to demonstrate cross-disciplinary data access based on a set of use cases developed by scientists from the domains of hydrology, oceanography, polar science and climate/weather. While some successes were achieved, considerable challenges were encountered. We present a synopsis of the processes and outcomes of the BCube experiment.

Author Biography

Siri Jodha Singh Khalsa, University of Colorado

Dr. Khalsa’s early work in boundary layer turbulence and tropical air-sea interaction evolved into an interest in large scale inter-decadal trends in atmospheric structure revealed in satellite sounding records. In 1993 he accepted a position as support scientist for NASA’s Distributed Active Archive Center (DAAC) at National Snow and Ice Data Center (NSIDC). There he performs science evaluation and algorithm support for data products coming from NASA’s Earth observing satellites. He active in the field of Earth Science Informatics and serves as liaison for the Institute of Electrical and Electronics Engineers (IEEE) Geoscience and Remote Sensing Society to the Open Geospatial Consortium (OGC). He is on the editorial board of the Springer Journal Earth Science Informatics, a member of the Earth and Space Science Informatics division of the European Geosciences Union and a member of the Earth Science Informatics Technical Committee of the IEEE Geoscience and Remote Sensing Society. In 2014 he began working with the Remote Sensing Department of the Czech Global Change Research Institute on applications of satellite and airborne remote sensing data for agriculture, forestry and urban sustainability.

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Published

2017-01-12

Issue

Vol. 16 (2017)

Section

Research Papers

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