[Esip-preserve] AGU sessions

Berrick, Stephen W. (GSFC-6102) stephen.w.berrick at nasa.gov
Wed May 26 12:29:14 EDT 2010


Not to be a wet blanket, but the limit is actually 800 characters, not words. And that includes the title. I was under the same assumption as you until I tried to submit the thing ;-)

Steve

On May 26, 2010, at 11:46 AM, Ruth Duerr wrote:

At the last preservation cluster telecon we discussed submitting a preservation related session to this fall's AGU meeting; but did not settle on a topic.  I note that Bruce Wilson is submitting the session below, which I think mostly covers the suite of topics we discussed, though it leaves out mention of identifiers...  Does anyone think that another session should be submitted (or is anyone else working on a session proposal)?  If so, please let the group know.  Session proposals are due tomorrow...

Ruth

Title:  Enabling Transparency in Science Data: Data Publication, Provenance, Traceability, and Citability

Conveners:

 *   Bruce Wilson (wilsonbe at ornl.gov<mailto:wilsonbe at ornl.gov>), Group Leader, Environmental Data Science and Systems, Oak Ridge National Laboratory
 *   Kerstin Lehnert (lehnert at ldeo.columbia.edu<mailto:lehnert at ldeo.columbia.edu>) Director, Integrated Earth Data Applications Research Group, Lamont-Doherty Earth Observatory, Columbia University
 *   Lisa Raymond (lraymond at whoi.edu<mailto:lraymond at whoi.edu>) Assistant Library Director, MBLWHOI Library, Woods Hole Oceanographic Institution
 *   Jeff Weber (jweber at unidata.ucar.edu<mailto:jweber at unidata.ucar.edu>) Unidata Program Center, University Corp for Atmospheric Research

Description:  (800 word limit -- lots of room left)

A number of events and publications have highlighted the need for a high degree of transparency and best practices in the publication, management, provenance tracking, traceability and citability of science data generally and Earth Science data in particular.  Further, there have been a number of recent and exciting developments  for handling the provenance of synthesis data sets and improving the ways that data can be cited.  These tools and approaches both increase the transparency of scientific work and improve the analysis of the impact of data sharing.
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