T79 Diversifying Geochronology: Innovations in Techniques, Applications, and Perspectives
Monday, 23 September 2019
8:00 AM - 12:00 PM
Room 225AB, North Building
SPARROW: A DATA MANAGEMENT SYSTEM AND CYBERINFRASTRUCTURE COMPONENT TARGETED AT GEOCHRONOLOGY LABORATORIES
Paper number: T79-5
Program: Technical Sessions
Time: 9:00 AM – 9:15 AM
Authors
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Mark SchmitzBoise State University, Boise, ID
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Bradley S. SingerUniversity of Wisconsin-Madison, Madison, WI
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John WilliamsUniversity of Wisconsin-Madison, Madison, WI
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Allen SchaenUniversity of Wisconsin-Madison, Madison, WI
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Kurt E. SundellUniversity of Arizona, Tucson, AZ
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George GehrelsUniversity of Arizona, Tucson, AZ
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Simon GoringUniversity of Wisconsin, Madison, WI
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Shaun MarcottUniversity of Wisconsin-Madison, Madison, WI
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Stephen MeyersUniversity of Wisconsin-Madison, Madison, WI
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Shanan PetersUniversity of Wisconsin–Madison, Madison, WI
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Jake RossNew Mexico Bureau of Geology and Mineral Resources, Socorro, NM
Abstract
Sparrow (https://sparrow-data.org), a new open-source software component funded by NSF EarthCube, provides a standard access layer for measurements produced by individual geochronology laboratories. The system can be deployed atop current, lab-specific systems and workflows for data collection, reduction, and storage. The standardized application programming interface (API) provided by Sparrow can be accessed by end users and centralized archives.
Sparrow also includes an extensible, web-based management interface that streamlines laboratory metadata management tasks such as controlling embargo, identifying and linking geologic and publication metadata, and generating aggregate summaries. The software straightforwardly implements FAIR (findable, accessible, interoperable, reusable) data management principles for host labs; it is built to be lightweight, flexible, and standards-compliant.
Sparrow is now being deployed atop several distinct data-reduction pipelines at laboratories specializing in U-Pb, 40Ar/39Ar, and cosmogenic nuclide dating. Where implemented, the software will provide a robust, structured data store for laboratory output and automate the incorporation of curated geochemical data into synthesis and archival facilities.
Geological Society of America Abstracts with Programs. Vol. 51, No. 5
doi: 10.1130/abs/2019AM-340223
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