GRDC. A Collaborative Framework for Radiological Background and Contextual Data Analysis
Abstract
The Radiation Mobile Analysis Platform (RadMAP) is unique in its capability to collect both high quality radiological data from both gamma-ray detectors and fast neutron detectors and a broad array of contextual data that includes positioning and stance data, high-resolution 3D radiological data from weather sensors, LiDAR, and visual and hyperspectral cameras. The datasets obtained from RadMAP are both voluminous and complex and require analyses from highly diverse communities within both the national laboratory and academic communities. Maintaining a high level of transparency will enable analysis products to further enrich the RadMAP dataset. It is in this spirit of open and collaborative data that the RadMAP team proposed to collect, calibrate, and make available online data from the RadMAP system. The Berkeley Data Cloud (BDC) is a cloud-based data management framework that enables web-based data browsing visualization, and connects curated datasets to custom workflows such that analysis products can be managed and disseminated while maintaining user access rights. BDC enables cloud-based analyses of large datasets in a manner that simulates real-time data collection, such that BDC can be used to test algorithm performance on real and source-injected datasets. Using the BDC framework, a subset of the RadMAP datasets have beenmore »
- Authors:
-
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- Computational Research Division, Computing Sciences Directorate, Information Technology Division, Nuclear Science Division
- OSTI Identifier:
- 1235086
- Report Number(s):
- LBNL-1003947
ir:1003947
- DOE Contract Number:
- AC02-05CH11231
- Resource Type:
- Technical Report
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 96 KNOWLEDGE MANAGEMENT AND PRESERVATION
Citation Formats
Brian J. Quiter, Ramakrishnan, Lavanya, and Mark S. Bandstra. GRDC. A Collaborative Framework for Radiological Background and Contextual Data Analysis. United States: N. p., 2015.
Web. doi:10.2172/1235086.
Brian J. Quiter, Ramakrishnan, Lavanya, & Mark S. Bandstra. GRDC. A Collaborative Framework for Radiological Background and Contextual Data Analysis. United States. https://doi.org/10.2172/1235086
Brian J. Quiter, Ramakrishnan, Lavanya, and Mark S. Bandstra. 2015.
"GRDC. A Collaborative Framework for Radiological Background and Contextual Data Analysis". United States. https://doi.org/10.2172/1235086. https://www.osti.gov/servlets/purl/1235086.
@article{osti_1235086,
title = {GRDC. A Collaborative Framework for Radiological Background and Contextual Data Analysis},
author = {Brian J. Quiter and Ramakrishnan, Lavanya and Mark S. Bandstra},
abstractNote = {The Radiation Mobile Analysis Platform (RadMAP) is unique in its capability to collect both high quality radiological data from both gamma-ray detectors and fast neutron detectors and a broad array of contextual data that includes positioning and stance data, high-resolution 3D radiological data from weather sensors, LiDAR, and visual and hyperspectral cameras. The datasets obtained from RadMAP are both voluminous and complex and require analyses from highly diverse communities within both the national laboratory and academic communities. Maintaining a high level of transparency will enable analysis products to further enrich the RadMAP dataset. It is in this spirit of open and collaborative data that the RadMAP team proposed to collect, calibrate, and make available online data from the RadMAP system. The Berkeley Data Cloud (BDC) is a cloud-based data management framework that enables web-based data browsing visualization, and connects curated datasets to custom workflows such that analysis products can be managed and disseminated while maintaining user access rights. BDC enables cloud-based analyses of large datasets in a manner that simulates real-time data collection, such that BDC can be used to test algorithm performance on real and source-injected datasets. Using the BDC framework, a subset of the RadMAP datasets have been disseminated via the Gamma Ray Data Cloud (GRDC) that is hosted through the National Energy Research Science Computing (NERSC) Center, enabling data access to over 40 users at 10 institutions.},
doi = {10.2172/1235086},
url = {https://www.osti.gov/biblio/1235086},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 01 00:00:00 EST 2015},
month = {Tue Dec 01 00:00:00 EST 2015}
}