[ESIP-all] AGU Session - Technology Trends for Big Science Data Management

[Hughes, John S (3980) via ESIP-all]

Dear colleagues,

We invite you to submit an abstract for the following session at the American Geophysical Union (AGU) Fall Meeting in San Francisco, 15-19 December 2014.

Session ID#: 2525

Session Title: Technology Trends for Big Science Data Management

Session Description:
The technology trend toward the use of ontologies, models and information representation [1] is predicted to favorably impact system architectures for big science data management. Data scientists in the space and earth sciences are developing system architectural components that incorporate these technologies into the data lifecycle - from ground systems through to the archives - and that help drive science analysis by producing interoperable systems and correlatable data. Technologies include ontologies for model driven development, science and engineering discipline ontologies, metadata and provenance standards vocabularies, and the use of semantic infrastructure for integration, publication, and analysis of science data to promote cross-disciplinary studies.  This session invites papers on these and related technologies that are intended to improve the discovery and correct use of data and help meet the expectations of modern scientists in the Big Data era.

[1] National Research Council (U.S.). Frontiers in Massive Data Analysis. 2013.

Conveners:

John S Hughes, Jet Propulsion Laboratory, Pasadena, CA, United States

Daniel J Crichton, Jet Propulsion Laboratory, Pasadena, CA, United States,

Yolanda Gil, Univ. of Southern California, Marina Del Rey, CA, United States

Bernd Ritschel, GFZ Potsdam, Potsdam, Germany