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The NOAO data lab: science-driven development

Authors :
Abhijit Saha
Stephen T. Ridgway
Matthew J. Graham
Adam S. Bolton
P. Norris
J. Michael Fitzpatrick
Kenneth J. Mighell
Elizabeth Stobie
Lijuan Wendy Huang
Knut Olsen
Chiozzi, Gianluca
Guzman, Juan C.
Source :
SPIE Proceedings.
Publication Year :
2016
Publisher :
SPIE, 2016.

Abstract

The NOAO Data Lab aims to provide infrastructure to maximize community use of the high-value survey datasets now being collected with NOAO telescopes and instruments. As a science exploration framework, the Data Lab allow users to access and search databases containing large (i.e. terabyte-scale) catalogs, visualize, analyze, and store the results of these searches, combine search results with data from other archives or facilities, and share these results with collaborators using a shared workspace and/or data publication service. In the process of implementing the needed tools and services, specific science cases are used to guide development of the system framework and tools. The result is a Year-1 capability demonstration that (fully or partially) implements each of the major architecture components in the context of a real-world science use-case. In this paper, we discuss how this model of science-driven development helped us to build a fully functional system capable of executing the chosen science case, and how we plan to scale this system to support general use in the next phase of the project.

Details

ISSN :
0277786X
Database :
OpenAIRE
Journal :
SPIE Proceedings
Accession number :
edsair.doi.dedup.....e8a063d29335c362c99ad5a579893a82
Full Text :
https://doi.org/10.1117/12.2233791