[ESIP-all] Emerging Issues in e-Science

[Mark A. Parsons]

Esteemed colleagues in data,

This is different sort of AGU session. We're looking for new  
perspectives and ideas. Concepts that challenge conventional thought.  
How can we create a new, fully open culture of data sharing? The  
issues are technical, social, and a combination of the two.

We provide some ideas, and have clever invitees from different  
disciplines, but submit an abstract and tell us what *you* think are  
important emerging issues.

http://www.agu.org/meetings/fm09/program/abstract_submissions.php

Cheers,

Mark, Ruth, Deborah, Rahul


IN13: Emerging Issues in e-Science: Collaboration, Provenance, and the  
Ethics of Data

Data are central to Earth and space science. Sharing, understanding,  
and using such data leads to many questions. Where did the data come  
from? How was it created? What am I allowed to do with it? How can I  
collaborate with my partners in using it? This session will focus on  
three emerging issues, briefly described below, that surround the use  
of data in science: Collaboration, Provenance and the Ethics of Data.

A significant challenge to facilitating collaborations in informatics  
and cyberinfrastructure projects is the availability of suitable  
collaboration environments. While there has been an explosion of tools  
and greater provisioning of interactive user-contributed web-based  
content, it is still true that collaboration systems and related  
software are far from robust and complete.

Providing thorough provenance information, sufficient to guarantee  
that it is possible to understand and reproduce a data set adds to the  
credibility and usefulness of the entire measurement and data  
processing effort.

People increasingly repurpose data in ways unforeseen and  
unforeseeable by the original investigator or user community. This  
data sharing and reuse imply certain ethical obligations for both data  
producers and users. These obligations include ensuring that data are  
shared openly and preserved for future generations, that data authors  
receive fair attribution, that data are as accurate as possible, that  
uncertainty is well described, and that data are not used  
inappropriately.

Invited Speakers
Al Fleig, PITA Analytic Sciences, on provenance and shared source code
Beth Plale, Indiana University, on provenance for workflows.
Brian Wilson, JPL, on collaboration and shared services
Dawn Wright, Oregon State University, on developing ethical practice  
in the next generation


Convener:
Deborah L McGuinness
Rensselaer Polytechnic Institute
Winslow Building
   110 8th Street
Troy, NY, USA  12180
5182764404
dlm at cs.rpi.edu

Mark A Parsons
National Snow and Ice Data Center
Boulder, CO, USA  80309-0449
parsonsm at nsidc.org

Ruth Duerr
National Snow and Ice Data Center
USA
rduerr at nsidc.org

Rahul Ramachandran
UAH/ITSC
USA
rramachandran at itsc.uah.edu
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