Virginia Data Management Bootcamp: Building the Research Data Community of Practice
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This document summarizes the Virginia Data Management Bootcamp, a collaborative data education initiative held annually since 2013 among several Virginia universities. It provides details on the planning, logistics, content, and assessments of the bootcamp. According to participant feedback, the hands-on sessions were most useful but some topics could have been covered in more depth. Organizers aim to expand participation to more institutions and offer additional workshops throughout the year, as well as biennial large-scale collaborations and other collaborative efforts to support the growing Virginia data management community of practice.
Virginia Data Management Bootcamp: Building the Research Data Community of Practice
- 1. Virginia Data Management Bootcamp Sherry Lake Scholarly Repository Librarian University of Virginia May 4, 2016 Building the Research Data Community of Practice RDAP 2016
- 2. Virginia Data Management Bootcamp 2013 2014 2015 2016
- 3. Technology
- 4. Technology Delivery: • 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 • Libguides o links to google docs, software, agenda, schedule
- 7. 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
- 8. Planning VA 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
- 9. Assessment LEAST USEFUL Scholarly communication - nebulous subject LEAST USEFUL metadata - i didn't really follow what they were talking about 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 USEFUL metadata - i didn't really follow what they were talking about ADDITIONAL SUGGESTIONS Better 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 SESSION Intellectual 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 USEFUL Scholarly communication - nebulous subject 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. 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
- 10. Assessment 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 USEFUL metadata - i didn't really follow what they were talking about ADDITIONAL SUGGESTIONS Better 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 SESSION Intellectual 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 USEFUL Scholarly communication - nebulous subject 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. 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
- 11. 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
Editor's Notes
- #4: 4-VA is a statewide initiative dedicated to fostering collaboration among Virginia universities with the goal of improving all Virginians’ access to higher education. Universities are also collaborating to find solutions to commonly held issues in higher education. Our mission is to promote inter-university collaborations that leverage the strengths of each partner university in order to accomplish much more than any individual university could achieve alone.
- #5: PROJECT ORGANIZING 13 basecamp (web-based) project collaboration 14, 15, 16 goggle docs Twitter handle #vadmbootcamp
- #6: Content and delivery
- #7: All Google Docs here: https://drive.google.com/drive/folders/0BxJCHgfiRmA5TXhBQ1U1RkgwbzQ?ths=true
- #8: Change in # days (all Jan) 2016 in March (Spring Break)
- #9: Lots of team effort and planning – problem when you need to create content and prep for presenting AND organizing all logistics, (rooms, food, registration, marketing) Doesn’t include the time for “planners” who were presenting (double duty) Planning Face-to-face meetings (for 14 & 15 meeting) Meetings (skype) email lists Survey – Evals Pre-assessments, post-assessments – getting links Agenda (starting 14, objectives) - google docs Prep Debriefings (local and collab) 2013 was all Grad students VT/ UVA site Each site with different cohorts (UVA Grad students only invited) 2014 w/ ODU Librarians sat in - ODU recorded bootcamp 2015 tried to encourage Uva Librarians to attend, but didn’t work too well. Timing for registration – before winter break (for Jan 13, 14, 15) 2013 – Hand written evals 2014, 2015 pre and post assessment online (needed IRB)
- #10: Hard to satisfy everyone. Each site different focus (Grads or Faculty). Lots of different disciplines. Sites having different “experts” w/ differing abilities. It might be useful to gear it just toward PhD students or students of a particular field. And maybe hold a separate event for MPP and other master's students. We just have different needs when it comes to what we need to know about data. Try to understand the distribution of graduate students, professors, and other employees participating in the bootcamp in order to gauge what is most important to the participants in terms of learning objectives.
- #11: Hard to satisfy everyone. Each site different focus (Grads or Faculty). Lots of different disciplines. Sites having different “experts” w/ differing abilities. It might be useful to gear it just toward PhD students or students of a particular field. And maybe hold a separate event for MPP and other master's students. We just have different needs when it comes to what we need to know about data. Try to understand the distribution of graduate students, professors, and other employees participating in the bootcamp in order to gauge what is most important to the participants in terms of learning objectives.
- #12: Like the 2016 2nd day where OpenRefine, R were offered and students could decided which one to pick. Something smaller that doesn’t take too much time to plan OR need lots of folks to support There are lots of materials already available and the live presentations. Stay away from Spring Break dates
- #13: Bootcamp has helped create a network of Data Librarians in close proximity. Helped those who didn’t have a program, or only had one to support. Leading to Yasmeen & JMU Data Services Coordinator & ODU working to get more Data Management.