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1. Architecting Data-Intensive Software Systems

Author

Mattmann, Chris A., Crichton, Daniel J., Hart, Andrew F., Goodale, Cameron, Hughes, J. Steven, Kelly, Sean, Cinquini, Luca, Painter, Thomas H., Lazio, Joseph, Waliser, Duane, Medvidovic, Nenad, Kim, Jinwon, Lean, Peter, Furht, Borko, editor, and Escalante, Armando, editor

Published
2011
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7. Developing an Open Source, Reusable Platform for Distributed Collaborative Information Management in the Early Detection Research Network

Author

Hart, Andrew F, Verma, Rishi, Mattmann, Chris A, Crichton, Daniel J, Kelly, Sean, Kincaid, Heather, Hughes, Steven, Ramirez, Paul, Goodale, Cameron, Anton, Kristen, Colbert, Maureen, Downs, Robert R, Patriotis, Christos, and Srivastava, Sudhir

Subjects
Documentation And Information Science
Abstract

For the past decade, the NASA Jet Propulsion Laboratory, in collaboration with Dartmouth University has served as the center for informatics for the Early Detection Research Network (EDRN). The EDRN is a multi-institution research effort funded by the U.S. National Cancer Institute (NCI) and tasked with identifying and validating biomarkers for the early detection of cancer. As the distributed network has grown, increasingly formal processes have been developed for the acquisition, curation, storage, and dissemination of heterogeneous research information assets, and an informatics infrastructure has emerged. In this paper we discuss the evolution of EDRN informatics, its success as a mechanism for distributed information integration, and the potential sustainability and reuse benefits of emerging efforts to make the platform components themselves open source. We describe our experience transitioning a large closed-source software system to a community driven, open source project at the Apache Software Foundation, and point to lessons learned that will guide our present efforts to promote the reuse of the EDRN informatics infrastructure by a broader community.

Published
2012

10. Radio Array of Portable Interferometric Detectors (RAPID): Development of a deployable multiple application radio array

Author

Lind, F. D., primary, Lonsdale, Colin J., additional, Faulkner, Andrew J., additional, Mattmann, Chris, additional, Razavi-Ghods, Nima, additional, de Lera Acedo, Eloy, additional, Alexander, Paul, additional, Marchese, Jim, additional, McWhirter, Russ, additional, Eckert, Chris, additional, Vierinen, Juha, additional, Schaefer, Robert, additional, Rideout, William, additional, Cappallo, Roger, additional, Pankratius, Victor, additional, Oberoi, Divya, additional, Khudikyan, Shakeh, additional, Joyce, Michael, additional, Goodale, Cameron, additional, Boustani, Maziya, additional, Cinquini, Luca, additional, Verma, Rishi, additional, and Starch, Michael, additional

Published
2015
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11. Exploring a graph theory based algorithm for automated identification and characterization of large mesoscale convective systems in satellite datasets

Author

Whitehall, Kim, primary, Mattmann, Chris A., additional, Jenkins, Gregory, additional, Rwebangira, Mugizi, additional, Demoz, Belay, additional, Waliser, Duane, additional, Kim, Jinwon, additional, Goodale, Cameron, additional, Hart, Andrew, additional, Ramirez, Paul, additional, Joyce, Michael J., additional, Boustani, Maziyar, additional, Zimdars, Paul, additional, Loikith, Paul, additional, and Lee, Huikyo, additional

Published
2014
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12. 24 Hour near real time processing and computation for the JPL Airborne Snow Observatory

Author

Mattmann, Chris A., primary, Painter, Thomas, additional, Ramirez, Paul M., additional, Goodale, Cameron, additional, Hart, Andrew F., additional, Zimdars, Paul, additional, Boustani, Maziyar, additional, Khudikyan, Shakeh, additional, Verma, Rishi, additional, Caprez, Felix Seidel, additional, Deems, Jeff, additional, Trangsrud, Amy, additional, and Boardman, Joseph, additional

Published
2014
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13. Radio Array of Portable Interferometric Detectors (RAPID): Development of a deployable multiple application radio array.

Author

Lind, F. D., Lonsdale, Colin J., Faulkner, Andrew J., Mattmann, Chris, Razavi-Ghods, Nima, de Lera Acedo, Eloy, Alexander, Paul, Marchese, Jim, McWhirter, Russ, Eckert, Chris, Vierinen, Juha, Schaefer, Robert, Rideout, William, Cappallo, Roger, Pankratius, Victor, Oberoi, Divya, Khudikyan, Shakeh, Joyce, Michael, Goodale, Cameron, and Boustani, Maziya

Published
2015
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14. Cloud computing and virtualization within the regional climate model and evaluation system

Author

Mattmann, Chris A., primary, Waliser, Duane, additional, Kim, Jinwon, additional, Goodale, Cameron, additional, Hart, Andrew, additional, Ramirez, Paul, additional, Crichton, Dan, additional, Zimdars, Paul, additional, Boustani, Maziyar, additional, Lee, Kyo, additional, Loikith, Paul, additional, Whitehall, Kim, additional, Jack, Chris, additional, and Hewitson, Bruce, additional

Published
2013
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15. Evaluation of the CORDEX-Africa multi-RCM hindcast: systematic model errors

Author

Kim, J., primary, Waliser, Duane E., additional, Mattmann, Chris A., additional, Goodale, Cameron E., additional, Hart, Andrew F., additional, Zimdars, Paul A., additional, Crichton, Daniel J., additional, Jones, Colin, additional, Nikulin, Grigory, additional, Hewitson, Bruce, additional, Jack, Chris, additional, Lennard, Christopher, additional, and Favre, Alice, additional

Published
2013
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17. Developing an open source, reusable platform for distributed collaborative information management in the Early Detection Research Network

Author

Hart, Andrew F., primary, Verma, Rishi, additional, Mattmann, Chris A., additional, Crichton, Daniel J., additional, Kelly, Sean, additional, Kincaid, Heather, additional, Hughes, Steven, additional, Ramirez, Paul, additional, Goodale, Cameron, additional, Anton, Kristen, additional, Colbert, Maureen, additional, Downs, Robert R., additional, Patriotis, Christos, additional, and Srivastava, Sudhir, additional

Published
2012
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19. Understanding Open Source Software at NASA

Author

Mattmann, Chris, primary, Crichton, Daniel, additional, Hart, Andrew, additional, Kelly, Sean, additional, Goodale, Cameron, additional, Ramirez, Paul, additional, Hughes, Steve, additional, Downs, Robert, additional, and Lindsay, Frank, additional

Published
2012
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20. An informatics architecture for the Virtual Pediatric Intensive Care Unit

Author

Crichton, Daniel J., primary, Mattmann, Chris A., additional, Hart, Andrew F., additional, Kale, David, additional, Khemani, Robinder G., additional, Ross, Patrick, additional, Rubin, Sarah, additional, Veeravatanayothin, Paul, additional, Braverman, Amy, additional, Goodale, Cameron, additional, and Wetzel, Randall C., additional

Published
2011
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22. A cloud-enabled regional climate model evaluation system.

Author

Hart, Andrew F., Goodale, Cameron E., Mattmann, Chris A., Zimdars, Paul, Crichton, Dan, Lean, Peter, Kim, Jinwon, and Walise, Duane

Abstract

The climate research community is increasingly interested in utilizing direct, observational measurements to validate model output in an effort to tune those models to better approximate our planet's dynamic climate. The current emphasis on performing these comparisons at regional, as opposed to global, scales presents challenges both scientific and technical, since regional ecosystems are highly heterogeneous and the available data is not readily consumed on a regional basis. If provided with a common approach for efficiently accessing and utilizing the existing observational datasets, climate researchers have the potential to effect lasting societal, economic and political benefits. A key challenge, however, is that model-to-observational comparison requires massive quantities of data and significant computational capabilities. Further complicating matters is the fact that, currently, observational data and model outputs exist in a variety of data formats, utilize varying degrees of specificity and resolution, and reside in disparate, highly heterogeneous data systems. In this paper we present a software architectural approach that leverages the advantages of cloud computing and modern open-source software technologies to address the regional climate modeling problem. Our system, dubbed RCMES, is highly scalable and elastic, allows for both local and distributed management of the satellite observations and generated model outputs, and delivers this information to climate researchers in a way that is easily integrated into existing climate simulations and statistical tools. [ABSTRACT FROM AUTHOR]

Published
2011
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