[ESIP-all] AGU Session on Credit for Open Data

[Amber Budden]

Hi All,

The AGU deadline is coming up fast!
If you are interested in transparency, credit and recognition around open data please consider submitting to our session.  It is being co-convened by members of Make Data Count (DataCite, DataONE, California Digital Library) and the Belmont Forum.

https://agu.confex.com/agu/fm17/preliminaryview.cgi/Session27267.html <https://agu.confex.com/agu/fm17/preliminaryview.cgi/Session27267.html>

Session ID#: 27267
Session Description:
Research data are fundamental to the academic enterprise. The ability to address ‘grand-challenge’ questions requires efficient sharing of, and accessibility to, multidisciplinary data. Federal, funder, and publisher mandates increasingly require that data are made publicly available and many organizations provide guidelines on best data management practices. Yet data do not currently receive the same level of recognition as other research products. The primary vehicle for scholarly communication and credit remains the journal article, and the academic community still gauges the impact of scholarship primarily through article usage statistics. 

This session will complement the panel session “Overcoming Barriers to Effective Data Sharing for Collaborative, Transdisciplinary Research”. Here we will more broadly explore factors surrounding data sharing and attribution; the impact of open data on career advancement; technical developments and infrastructure; data citation, credit and other best practices; and examples of how attribution facilitates or inhibits the use of transnational multidisciplinary data.
Primary Convener:  
Amber E Budden, DataONE
Conveners:  
Robert JOHN Samors1, Patricia Cruse2 and Carrie E. Seltzer1, (1)Belmont Forum e-Infrastructures and Data Management Project, (2)DataCite


Amber E Budden, PhD
Director for Community Engagement and Outreach
DataONE
University of New Mexico
1312 Basehart SE
Albuquerque NM 87106

cell: 505.205.7675
aebudden at dataone.unm.edu <mailto:aebudden at dataone.unm.edu>



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