virginia data management bootcamp: building the research data community of practice
TRANSCRIPT
Virginia Data Management Bootcamp
Sherry LakeScholarly Repository LibrarianUniversity of VirginiaMay 4, 2016
Building the Research Data Community of PracticeRDAP 2016
TechnologyDelivery:• 4VA Telepresence rooms • ODU, VCU, W&M direct dial to “trunk” or back end• Webex (2015 & 2016)• Recorded Sessions
Content:• UVA Collab (Course management system)• Google Docs
o Planning (notes, agenda) o Content Delivery o Question/Answer notes
• Libguideso links to google docs, software, agenda, schedule
Margaret E. Henderson, "Virginia Data Management Bootcamp: A Collaborative Initiative in Data Education" (April 9, 2015). University of Massachusetts and New England Area Librarian e-Science Symposium. Paper 5. http://escholarship.umassmed.edu/escience_symposium/2015/posters/5
PlanningVA DM Bootcamp Team• Meetings starting the summer before • Debriefings after bootcamps• Assessments – data after 2014 & 2015
Local (UVA Example)• Marketing• Registration• Room scheduling/ Food (sponsors)• Volunteers• Video Release Forms• Preparing copies of Handouts
Assessment
MOST USEFUL SESSION
Intellectual property, copyright: The speaker was very thorough
and used plain English rather than "lawyer-speak".
MOST USEFUL SESSIONMethods to scrub messy data with OpenRefine. I had no idea
such things were possible and they will be so useful!
LEAST USEFULScholarly communication - nebulous subject
LEAST USEFULmetadata - i didn't really follow what they were talking about
ADDITIONAL COMMENTS SUGGESTIONS
I would say, keep doing this as it provides a great service to
researchers and librarians alike.
ADDITIONAL COMMENTS SUGGESTIONS
I felt that many of the topics did not go into depth
enough. I would have liked fewer topics, more in depth.
2014
MOST USEFUL SESSION any sessions where there were hands-on activities were good
I personally learned something new from each session and found them all to be very helpful.
Data Documentation and Metadata. My first time to learn the Meatdata concept.
LEAST USEFULmetadata - i didn't really follow what they were talking about
ADDITIONAL SUGGESTIONSBetter to have shorter more intense days. Maybe more days.Real data sets to work with.
Overall, how likely are you to recommend this training to your colleagues?78% likely/very likely
Length of bootcamp (2 full days, optional .5)- 59% too long
2015
Met expectations:92% agree/strongly agree
MOST USEFUL SESSIONIntellectual property, copyright: The speaker was very thorough and used plain English rather than "lawyer-speak".
OpenRefine/Data Wrangling
Hearing multiple perspectives from other universities
Methods to scrub messy data with OpenRefine. I had no idea such things were possible and they will be so useful!
LEAST USEFULScholarly communication - nebulous subject
ADDITIONAL COMMENTS SUGGESTIONSI felt that many of the topics did not go into depth enough. I would have liked fewer topics, more in depth.
I would say, keep doing this as it provides a great service to researchers and librarians alike.
The technology needs to be more stable so that all sites see and hear everything at the same time.
73% said length was just right
Overall, how likely are you to recommend this training to your colleagues?77% likely
Assessment2014
MOST USEFUL SESSION any sessions where there were hands-on activities were good
I personally learned something new from each session and found them all to be very helpful.
Data Documentation and Metadata. My first time to learn the Meatdata concept.
LEAST USEFULmetadata - i didn't really follow what they were talking about
ADDITIONAL SUGGESTIONSBetter to have shorter more intense days. Maybe more days.Real data sets to work with.
Overall, how likely are you to recommend this training to your colleagues?78% likely/very likely
Length of bootcamp (2 full days, optional .5)- 59% too long
2015
Met expectations:92% agree/strongly agree
MOST USEFUL SESSIONIntellectual property, copyright: The speaker was very thorough and used plain English rather than "lawyer-speak".
OpenRefine/Data Wrangling
Hearing multiple perspectives from other universities
Methods to scrub messy data with OpenRefine. I had no idea such things were possible and they will be so useful!
LEAST USEFULScholarly communication - nebulous subject
ADDITIONAL COMMENTS SUGGESTIONSI felt that many of the topics did not go into depth enough. I would have liked fewer topics, more in depth.
I would say, keep doing this as it provides a great service to researchers and librarians alike.
The technology needs to be more stable so that all sites see and hear everything at the same time.
73% said length was just right
Overall, how likely are you to recommend this training to your colleagues?77% likely
What’s Next?
• Involving more Virginia institutions• Offer smaller workshops/ sessions throughout
the year• Larger collaboration (like DM Bootcamp)
every-other year• Do more non-workshop collaborations