Using message brokering and data mediation on earth science data to enhance global maritime situational awareness

Delaney, Connie W; Alessandrini, Alfredo; Greidanus, H.

doi:10.1088/1755-1315/34/1/012005

Cited by 1 publication

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The second method is currently in wide use within the geosciences, such as GBIF (Edwards, Lane and Nielsen, 2000), which harvests metadata from multiple external systems and then maps the metadata, which are served through different protocols and use different schemas, to a common standard. Systems such as ERDAAP (Simons and Mendelssohn, 2012;Delaney, Alessandrini and Greidanus, 2016) act as servers accessing disparate datasets and serving them through a common interface. What BCube explored was the possibility that a broker, mediating the interactions between many systems serving data and many systems requesting data, could be established as a shared service, i.e.…”

Section: The Challenge Of Cross-disciplinary Interoperabilitymentioning

confidence: 99%

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

Khalsa

2017

Data Science Journal

View full text Add to dashboard Cite

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.Keywords: interoperability; brokering; middleware; EarthCube; cross-domain; socio-technical Genesis and Objectives of EarthCubeIn 2011 the U.S. National Science Foundation initiated EarthCube, a joint effort of NSF's Office of Cyberinfrastructure (OCI), whose interest was in computational and data-rich science and engineering, and the Geosciences Directorate (GEO), whose interest was in understanding and forecasting the behavior of a complex and evolving Earth system. The goal in creating EarthCube was to create a sustainable, community-based and open cyberinfrastructure for all researchers and educators across the geosciences.The NSF recognized that currently there was no infrastructure that could manage and provide access to all geosciences data in an open, transparent and inclusive manner, and that progress in geosciences would be increasingly reliant on interdisciplinary activities. Therefore, a system that enabled the sharing, interoperability and re-use of data needed to be created. Similar efforts to provide the infrastructure needed to support scientific research and innovation is underway in other countries, most notably in the European Union guided by the European Strategy Forum on Research Infrastructures (ESFRI) and in Australia under the National Collaborative Research Infrastructure Strategy (NCRIS). The goal of all these efforts is to provide scientists, policy makers and the public with computing resources, analytic tools and educational material, all within an open, interconnected and collaborative environment. The Nature of Infrastructure DevelopmentThe building of infrastructure is as much a social endeavor as technical one. Bowker, et al. (2010) emphasized that information infrastructures are more than the data, tools and networks comprising the technical elements, but also involve the people, practices, and institutions that lead to the creation, adoption and evolution of the underlying technology. The NSF realized that a cyberinfrastructure, to be successful, must have substantial involvement of the target community through all phases of its development, from inception to deployment. In fact, studies have shown infrastructure evolves from independent and isolated efforts and there is not a clear point where "deployment" is complete (Star and Ruhleder, 1996). The fundamental challenge was the heterogeneity of scientific disciplines and technologies that needed to cooperate to accomp...

show abstract

Section: The Challenge Of Cross-disciplinary Interoperabilitymentioning

confidence: 99%

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

Khalsa

2017

Data Science Journal

View full text Add to dashboard Cite

show abstract

Using message brokering and data mediation on earth science data to enhance global maritime situational awareness

Cited by 1 publication

References 4 publications

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

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

Contact Info

Product

Resources

About