[ESIP-all] Inviting abstracts for the AGU Session: Dark Data in the Geosciences

[Wilson, Brian D (398M)]

Hello all,

Please submit your papers to the Dark Data session (IN15) at the Fall AGU Meeting.

We are looking for all work that serves to illuminate, structure, tag, or relevancy rank
datasets and other artifacts to make them more relevant and accessible to the broader
geoscience community.

See the session description below.  We'll have some interesting invited talks.

Abstracts are due by August 5 !!!

Thanks.


IN015:
Dark Data in the Geosciences: Revelation, Compilation and Application
Submit an Abstract to this Session<https://agu.confex.com/agu/fm15/in/papers/index.cgi?sessionid=7939>

Session ID#: 7939

Session Description:
Data are the key to unlocking knowledge. They exist in many forms, but often are collected, processed and stored for specific purposes, then forgotten or overlooked. To unlock their untapped potential, these dark data need to be illuminated, structured and tagged in ways that make them relevant and accessible to the broader geoscience community. Considerable effort is being expended on mechanisms, such as EarthCube’s community-driven cyberinfrastructure, that will enhance geoscientists’ ability to discover and retrieve data from distributed repositories. The intention being to make the retrieval and utilization of dark data an integral component of scientific workflows, and thereby encourage new kinds of synthesis that will advance knowledge of complex geo-systems. This session seeks papers that illustrate how, in response to emerging needs and collaborative processes, barriers to revealing, compiling and applying dark data have or can be lowered across the broad spectrum of geospace, atmosphere, Earth and ocean sciences.
Primary Convener:  Basil Gomez, University of Hawaii at Manoa, Honolulu, HI, United States
Conveners:  Steven L Goldstein, Columbia University, Sparkill, NY, United States, Brian D Wilson, Jet Propulsion Laboratory, Pasadena, CA, United States and V Chandrasekar, Colorado State University, Electrical & Computer Engineering, Fort Collins, CO, United States

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