Difference between revisions of "2011AGUworkshop"

From Earth Science Information Partners (ESIP)
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* 15:55 - 16:10 [[Media:DataMgtWrkshp-WorkingWithYourArchiveDowns20111206.ppt | Working with your archive organization]] - Bob Downs
 
* 15:55 - 16:10 [[Media:DataMgtWrkshp-WorkingWithYourArchiveDowns20111206.ppt | Working with your archive organization]] - Bob Downs
* 16:10 -16:30 Preservation strategies - Nancy Hoebelheinrich
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* 16:10 -16:30 [[Media:PreservationStrategies.ppt  | Preservation strategies ]] - Nancy Hoebelheinrich
 
* 16:30 - 16:50 [[Media:ResponsibleDataUse.ppt‎ | Responsible data use]] - Ruth Duerr
 
* 16:30 - 16:50 [[Media:ResponsibleDataUse.ppt‎ | Responsible data use]] - Ruth Duerr
 
* 16:50 - 17:00 Summary and wrap up - Ruth Duerr
 
* 16:50 - 17:00 Summary and wrap up - Ruth Duerr

Revision as of 19:39, December 4, 2011

Data Management 101 for the Earth Scientist

Don’t let science leave you behind. The proliferation of data from all sources requires today’s scientists to be aware of sound data management practices. In this free half-day workshop, everything the modern data-producing scientist needs to know about data management will be introduced. We will discuss the rationale for data management planning and the context of U.S. National Science Foundation's requirement for a 2-page data management plan to accompany every proposal; dealing with data during the course of your research; creating metadata for discovery, access, use and archiving, finding and working with a long term archive; as well as properly giving credit to other data producers. This workshop is open to all AGU attendees. Laptops are encouraged and bring data sets you would like help with. Sponsored by NOAA and the Data Conservancy, and conducted by the ESIP Federation.

Join us on Tuesday, December 6 (13:00-17:00) in the San Francisco Marriott Marquis, Salons 10-12. Point of contact: Carol Meyer (carolbmeyer@esipfed.org).

Draft Schedule

  • 14:05 - 14:25 Break #1 (ask your data questions)
  • 15:25 - 15:55 Break # 2 (ask your data questions)