Now accepting applications to attend the Fall 2019 Specialized Data Curation Workshop hosted by the Data Curation Network. The workshop will be held November 5 & 6, 2019 at Washington University in St. Louis in St. Louis, MO.  

 

This free 1.5 day training session will bring together library data specialists and discipline/functional experts in a peer-to-peer learning environment for specialized data curation.

 

Attendees will:

1. Increase their understanding of data curation practices and tools in various disciplines, data types, and formats

2. Share expertise and enhance curation capacity for librarians nationwide

3. Meet like-minded colleagues who are interested in building and extending curation practices at their institutions

4. Develop or build upon actionable primers for data curation 

Who should attend:

• Subject specialists and library staff with functional expertise who have experience working with research data
• Library staff who are tasked with curating research data
• Library staff who have experience in working with research data and are interested in expanding their knowledge of curation practices into new formats or disciplines
• Those interested in sharing their expertise and developing data curation primers. (What's a primer?)

 

Apply now! There is no cost for the workshop, but we are limited in the number of attendees we can support. To ensure a good mix of library data staff, subject specialists, and functional experts we've established an application and selection process for the workshops.

Application Deadline: August 2, 2019

Acceptance Notification: August 12, 2019

Scholarships are available for participants who would like to attend the workshop but have limited resources. We specifically encourage scholarship applications from students, new professionals, and members of underrepresented groups. Additional information about the scholarships is available on the website. 

These workshops are made possible by a grant from the U.S. Institute of Museum and Library Services RE-85-18-0040-18 and with support from the partner institutions in the Data Curation Network,http://datacurationnetwork.org.