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RDAP 16: Building the Research Data Community of Practice

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Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016

Presenters:
Sherry Lake, University of Virginia
Brianna Marshall, University of Wisconsin-Madison
Regina Raboin, University of Massachusetts Medical School
Andrew Johnson, University of Colorado
Brian Westra, University of Oregon

Panel lead:
Cynthia Hudson-Vitale, Washington University in St. Louis

Published in: Education
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RDAP 16: Building the Research Data Community of Practice

  1. 1. Building the Research Data Community of Practice
  2. 2. Panelists Andrew Johnson - DataQ Sherry Lake - Virginia Collaborative Data Management Bootcamp Brianna Marshall - Midwest Data Librarian Symposium Regina Raboin - NECDMC/eSci portal Brian Westra - DataCure Moderator: Cynthia Hudson-Vitale, Washington University in St. Louis
  3. 3. This project was made possible in part by the Institute of Museum and Library Services Sparks! Ignition Grant for Libraries SP-02-14-0020-14 Andrew Johnson Research Data Librarian University of Colorado Boulder @PrezSeventeen
  4. 4. Academic Libraries and Research Data Services (Tenopir, Birch, and Allard, 2012): ● “Reassigning existing library staff is the most common tactic for offering RDS. This approach also needs to be supported with professional development for staff so they can gain the required expertise to provide the full range of RDS” ● “When libraries provide research data services related to reference, consultation, or instruction, those services are most likely to be offered by individual librarians or library staff members who are subject discipline specialists.” How do we provide support for individuals in these situations? The Need
  5. 5. ● “Research data is intimidating!” ● “How can I take on research data support with so much else already on my plate?!” ● “I need practical tools to use to help researchers with their data” But Also: ● “Helping faculty and students with their data is an increasingly important part of my liaison duties” Librarian Feedback:
  6. 6. DataQ is a web-based collaborative tool to support librarians who are engaging in research data services by providing: ● An online space for assistance and collaboration ● A community of research data experts and subject librarians ● A knowledge base of practical data information for librarians
  7. 7. ● Andrew Johnson, University of Colorado Boulder, PI ● Megan Bresnahan, Tufts University, Co-PI ● Joni Blake, GWLA ● Greg Monaco, GPN ● Ann Riley, ACRL DataQ Advisory Board
  8. 8. ● Kathleen Fear, University of Rochester ● Elena Feinstein, Duke University ● Cynthia Hudson-Vitale, Washington University in St. Louis ● Erica Johns, Cornell University ● Sherry Lake, University of Virginia ● Stanislav Pejša, Purdue University ● Sarah Pickle, The Claremont Colleges ● Amanda Rinehart, The Ohio State University ● Yasmeen Shorish, James Madison University ● Cecilia Smith, Texas A&M University ● Shea Swauger, University of Colorado Denver ● Steve Van Tuyl, Oregon State University ● Mary Whelan, Arizona State University ● Christie Wiley, University of Illinois at Urbana-Champaign ● Jackie Wirz, Oregon Health and Science University DataQ Editorial Team
  9. 9. ● Thea Atwood, University of Massachusetts Amherst ● Carolyn Bishoff, University of Minnesota ● Rebekah Cummings, University of Utah ● Khue Dong, California State University, Long Beach ● Christopher Eaker, University of Tennessee ● Abigail Goben, University of Illinois at Chicago ● Renaine Julian, Florida State University ● Dessi Kirilova, Qualitative Data Repository ● Chris Kollen, University of Arizona ● Robert Olendorf, Los Alamos National Laboratory ● Laura Palumbo, Rutgers University ● Robert Sippel, Florida Institute of Technology ● Dan Valen, Figshare DataQ Project Volunteers
  10. 10. ● Ask all of your questions related to research data and libraries at http://ResearchDataQ.org! ● Many ways to participate: ○ Ask questions completely anonymously ○ Ask questions and provide your email address to just our team for follow-up and clarification purposes ○ Register for a free DataQ account so that questions you ask will be attributed to your username ○ Comment on all questions and answers (requires free account) ○ Browse or search answers to existing questions ○ Follow us on Twitter: @ResearchDataQ DataQ Website
  11. 11. ● ~18,000 site visits from ~4,000 users ● 82 questions answered from these categories: (Meta)DataQ
  12. 12. ● About research data and libraries?: http://ResearchDataQ.org/ask ● About the DataQ website?: http://ResearchDataQ.org/contact ● About the DataQ project?: andrew.m.johnson@colorado.edu Questions?
  13. 13. Virginia Data Management Bootcamp Sherry Lake Scholarly Repository Librarian University of Virginia May 4, 2016 Building the Research Data Community of Practice RDAP 2016
  14. 14. Virginia Data Management Bootcamp 2013 2014 2015 2016
  15. 15. Technology
  16. 16. 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 ○ Planning (notes, agenda) ○ Content Delivery ○ Question/Answer notes ● Libguides ○ Links to google docs, software, agenda, schedule
  17. 17. Content 2013
  18. 18. http://guides.lib.odu.edu/VADMBC/
  19. 19. 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
  20. 20. 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
  21. 21. Assessment MOST USEFUL SESSION Intellectual property, copyright: The speaker was very thorough and used plain English rather than "lawyer-speak". MOST USEFUL SESSION 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 LEAST USEFUL metadata - 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 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
  22. 22. 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
  23. 23. 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
  24. 24. http://guides.lib.odu.edu/VADMBC/ State-wide Community of Practice
  25. 25. Building the Research Data Community of Practice University of Massachusetts Medical School Regina Fisher Raboin Associate Director, Library Education & Research Lamar Soutter Library, University of Massachusetts Medical School regina.raboin@umassmed.edu RDAP Summit 2016
  26. 26. E-Science Portal for New England Librarians A Librarian’s Link to e-Science Resources Background Goals • Library roles in e-Science/Data Science • Fundamentals of domain sciences • Emerging trends in supporting networked scientific research Project • Collaborative initiative • Education, Application, Professional Development • Outreach, Connections, Dissemination • In-depth resource for data management and literacy; research environment Results • e-Science Symposium 2009 – 2016 • Science Boot Camp 2009 – 2016 • Portal 2010 - 2016 • Journal of eScience Librarianship 2012 - 2016 E-Science Portal
  27. 27. New England e-Science Program Community of Practice 180+ Librarians Contributors NN/LM NER IMLS BLC NAHSL Portal and Advisory Boards Dissemination Journal of eScience Librarianship e-Science Community Blog Twitter feeds Tools/Resources e-Science Portal Content for RDM class e-Science Thesaurus Professional Development/Education Professional Development Day e-Science Symposium Science Boot Camp Simmons GSLIS class Course: How You Teach RDM New England Collaborative Data Management Curriculum (NECDMC)
  28. 28. New England Collaborative Data Management Curriculum (NECDMC) Background Goals • Built on Frameworks for Data Management Curriculum (IMLS/NNLM NER) • Present and future researchers, students, and librarians data management learning needs • Address federal compliance/ open data requirements Project •Phase 1: Collaboration with other libraries • Modules, lesson plans, instructional materials, research cases; module evaluations • Workshop resources and community feedback created Results • Phase 2: Local piloting • Phase 3: Piloting beyond UMMS • Evaluation, assessment, feedback NECDMC (CC-BY)
  29. 29. Assessment NECDMC Pilot Sites (22 sites) 300+ Phase 1 - 20 questions, evaluations on NECDMC site Phase 2 – 12 questions, paper-based Train-the-Trainers (2 workshops, 2013 & 2014) 80 11-15 questions per module, paper-based handout Flexible Clinical Experience (FCE) 1 Two electronic evaluation instruments provided by School of Medicine (SOM): one for instructors (8 quest.), one for student (22 questions, including open-ended) Type of Education Attendees Assessment
  30. 30. Lessons Learned NECDMC Modular format; cases; website with ready-to-go content Too much content; updating Creating MOOC Train-the-Trainers Demonstrations of teaching cases and teaching methods for different audiences; customizability/flexibility Time concerns Pre-class surveys and encouraging customization Flexible Clinical Experience Incorporation of a research project; use of research data management tools (e.g. LabArchives, DMPTool); collaboration with UMMS IT and IRB Time investment and prep for a 1 week course; branding; needed more sophisticated content; one student Incorporating local examples of data management content and activities; increase marketing for course
  31. 31. Future Vision NECDMC MOOC (BD2K) E-Science Program Expand Nationally Create Identity or Discipline Potential Researcher Portal Roundtable Discussions and Tools Workshops
  32. 32. Selected Resources E-Science Portal for New England Librarians; See especially ‘Data Management’, ‘Data Literacy’, and ‘Professional Education’, http: //esciencelibrary.umassmed.edu/ Integrating Data Management Tools into Research Data Management Instruction, Rebecca Reznik-Zellen, Lisa A. Palmer and Julie Goldman, Poster Session, University of Massachusetts and New England Area e-Science Symposium, April 6, 2016. http: //escholarship.umassmed.edu/escience_symposium/2016/posters/8/ Ishida, Mayu. 2014. "The New England Collaborative Data Management Curriculum Pilot at the University of Manitoba: A Canadian Experience." Journal of eScience Librarianship 3(1): e1061. http://dx.doi.org/10.7191/jeslib.2014.1061 Kafel, Donna, Myrna E. Morales, Robert J. Vander Hart, Sally A. Gore, Andrew Creamer, Javier Crespo, and Elaine R. Martin. 2012. "Building an e-Science Portal for Librarians: A Model of Collaboration." Journal of eScience Librarianship 1(1): e1005. http://dx.doi. org/10.7191/jeslib.2012.1005 New England Collaborative Data Management Curriculum (NECDMC); See especially ‘Resources from Workshops’, ‘Community Bulletin Board’, and ‘Join the Collaboration’, http://library.umassmed.edu/necdmc/index New England Region eScience Program (Data Management Curriculum and Data Tools Forum) https://www.youtube.com/channel/UCmwetQc2pcwAwJYPDPucJIg Piorun, Mary E., Donna Kafel, Tracey Leger-Hornby, Siamak Najafi, Elaine R. Martin, Paul Colombo, and Nancy R. LaPelle. 2012. "Teaching Research Data Management: An Undergraduate/Graduate Curriculum." Journal of eScience Librarianship 1(1): e1003. http: //dx.doi.org/10.7191/jeslib.2012.1003 Peters, Christie, and Porcia Vaughn. 2014. "Initiating Data Management Instruction to Graduate Students at the University of Houston Using the New England Collaborative Data Management Curriculum." Journal of eScience Librarianship 3(1): e1064. http: //dx.doi.org/10.7191/jeslib.2014.1064 Read, Kevin, Andrew T. Creamer, Donna Kafel, Robert J. Vander Hart, and Elaine R. Martin. 2013. "Building an eScience Thesaurus for Librarians: A Collaboration Between the National Network of Libraries of Medicine, New England Region and an Associate Fellow at the National Library of Medicine." Journal of eScience Librarianship 2(2): e1049. http://dx.doi.org/10.7191/jeslib.2013.1049
  33. 33. Datacure
  34. 34. Working together Image by Wolfram Burner
  35. 35. Origins A ‘chance’ meeting: DigCCurr Professional Institute (2009/2010) ● Dianne Dietrich - Cornell ● Susan Parham - Georgia Tech ● Jake Carlson - Michigan ● Brian Westra - Oregon ● Barrie Hayes - UNC Chapel Hill
  36. 36. Foundations ● Trust ● Confidentiality ● Small group ● Unaffiliated
  37. 37. Group dynamics
  38. 38. Outcomes Confluence wiki → Wordpress web site Email list → Google Group Informal practice → Code of Conduct Events list Wiki page → Drupal events calendar
  39. 39. Outcomes Monthly conference calls Conference proposals, articles Data repository working group Instruction working group Letter to PLoS
  40. 40. Opportunities and Challenges 80/20 Growing membership, and growing the membership Volunteer leadership Unaffiliated Expansion in lists, interest and working groups, meetings
  41. 41. What’s next?
  42. 42. Thank you! Joining, code of conduct: https://goo.gl/MIsOLA Brian Westra bwestra@uoregon.edu
  43. 43. Discussion ● How others can do the same or be involved, new initiatives, future training ● Thoughts on how we can create, or whether or not we need, a more cohesive research data community of practice ● Where is there interest in a data services related topic - but little opportunity for support/training? (such as: reaching out to faculty, starting the conversations w/the research office, curating sensitive data, de-identifying/anonymizing data)
  44. 44. Thank you! Andrew Johnson Andrew.M.Johnson@colorado.edu Sherry Lake sah@virginia.edu Regina Fisher Raboin regina.raboin@umassmed.edu Brianna Marshall brianna.marshall@wisc.edu Brian Westra bwestra@uoregon.edu Cynthia Hudson-Vitale chudson@wustl.edu

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