TY - GEN
T1 - BioenergyKDF
T2 - 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014
AU - Myers, Aaron
AU - Movva, Sunil
AU - Karthik, Rajasekar
AU - Bhaduri, Budhendra
AU - White, Devin
AU - Thomas, Neil
AU - Chase, Adrian
N1 - Publisher Copyright:
© Copyright 2014 ACM.
PY - 2014/11/4
Y1 - 2014/11/4
N2 - The Bioenergy Knowledge Discovery Framework (BioenergyKDF) is a scalable, web-based collaborative environment for scientists working on bioenergy related research in which the connections between data, literature, and models can be explored and more clearly understood. The fully-operational and deployed system, built on multiple open source libraries and architectures, stores contributions from the community of practice and makes them easy to find, but that is just its base functionality. The BioenergyKDF provides a national spatiotemporal decision support capability that enables data sharing, analysis, modeling, and visualization as well as fosters the development and management of the U.S. bioenergy infrastructure, which is an essential component of the national energy infrastructure. The BioenergyKDF is built on a flexible, customizable platform that can be extended to support the requirements of any user community-especially those that work with spatiotemporal data. While there are several community data-sharing software platforms available, some developed and distributed by national governments, none of them have the full suite of capabilities available in BioenergyKDF. For example, this component-based platform and database independent architecture allows it to be quickly deployed to existing infrastructure and to connect to existing data repositories (spatial or otherwise). As new data, analysis, and features are added; the BioenergyKDF will help lead research and support decisions concerning bioenergy into the future, but will also enable the development and growth of additional communities of practice both inside and outside of the Department of Energy. These communities will be able to leverage the substantial investment the agency has made in the KDF platform to quickly stand up systems that are customized to their data and research needs.
AB - The Bioenergy Knowledge Discovery Framework (BioenergyKDF) is a scalable, web-based collaborative environment for scientists working on bioenergy related research in which the connections between data, literature, and models can be explored and more clearly understood. The fully-operational and deployed system, built on multiple open source libraries and architectures, stores contributions from the community of practice and makes them easy to find, but that is just its base functionality. The BioenergyKDF provides a national spatiotemporal decision support capability that enables data sharing, analysis, modeling, and visualization as well as fosters the development and management of the U.S. bioenergy infrastructure, which is an essential component of the national energy infrastructure. The BioenergyKDF is built on a flexible, customizable platform that can be extended to support the requirements of any user community-especially those that work with spatiotemporal data. While there are several community data-sharing software platforms available, some developed and distributed by national governments, none of them have the full suite of capabilities available in BioenergyKDF. For example, this component-based platform and database independent architecture allows it to be quickly deployed to existing infrastructure and to connect to existing data repositories (spatial or otherwise). As new data, analysis, and features are added; the BioenergyKDF will help lead research and support decisions concerning bioenergy into the future, but will also enable the development and growth of additional communities of practice both inside and outside of the Department of Energy. These communities will be able to leverage the substantial investment the agency has made in the KDF platform to quickly stand up systems that are customized to their data and research needs.
KW - Bioenergy
KW - Communities Of Practice
KW - Critical Infrastructure
KW - Cyberinfrastructure
KW - Knowledge Discovery
KW - Open-Source
KW - Spatial Data Infrastructure
KW - Spatial Visualization
KW - Web-Based
UR - http://www.scopus.com/inward/record.url?scp=84961221525&partnerID=8YFLogxK
U2 - 10.1145/2666310.2666488
DO - 10.1145/2666310.2666488
M3 - Conference contribution
AN - SCOPUS:84961221525
T3 - GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
SP - 497
EP - 500
BT - 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014
A2 - Schneider, Markus
A2 - Gertz, Michael
A2 - Huang, Yan
A2 - Sankaranarayanan, Jagan
A2 - Krumm, John
PB - Association for Computing Machinery
Y2 - 4 November 2014 through 7 November 2014
ER -