Introducing researchers to data management: Pedagogy and strategy MLA Annual Meeting, 2013

1. Introducing researchers to data management: Pedagogy and strategyMLA Annual Meeting, 2013 Karen Hanson Knowledge Systems Librarian karen.hanson@med.nyu.edu Alisa Surkis Translational Science Librarian alisa.surkis@med.nyu.edu

2. Section: Introduction • What is data? • What is the data lifecycle? • Why save it? • Background • Class content • Evaluation, feedback • Aftermath & conclusions

3. The challenge • Environmental scan • Complex environment • Lots of small isolated services • Lots of gaps • No obvious service point • Where to start? • How do we gain credibility?

4. Teaching • Start building a data management résumé • Learn more about what people need • Demonstrate understanding • Test the water!

5. Who did what why? Karen Hanson, Knowledge Systems Librarian • Past life: programmer, database developer, lab assistant • Library life: digital archives, library data dashboard Alisa Surkis, Translation Science Librarian • Past life: PhD Neuroscience, programmer • Library life: Liaison to Clinical & Translational Science Institute Data!

6. You have 90 minutes… • Part of lab management skills course for postdocs • What can we accomplish in 90 minutes? • Goals: • Plant seeds of thought • Raise awareness • Give practical pointers for immediate improvements

7. Section: Introduction • What is data? • What is the data lifecycle? • Why save it? • Background • Class content • Evaluation, feedback • Aftermath & conclusions

8. Content • Introduction • Incentives (carrots & sticks) • Standards for description & documentation • Storage, archiving and sharing • Data management plans

9. Scare tactics

10. Horror stories (article retractions) “There were 60 children in the study. The ages were by accident duplicated between the upper and lower halves of the database.Thus, the ages for the first 30 children in the data set were identical and in the same order with the ages for the second set of 30 children…The files with the original data are not available any more, making it impossible to reconstruct a valid data set for reanalysis.” - http://www.ctajournal.com/content/2/1/6/abstract

11. Real world examples

12. Chilling tales from our own lives • At least we know where it is…

13. Look… we do need to teach this! • National survey of postdocs • ~2500 responses from 43 institutions analyzed

14. Pre-class survey handout

15. We baked a cake • Majority of grants are from NIH (not NSF) • Covered “ingredients” of a good plan • Data management plan= carrot cake

16. Humor (OMG, LOL)

17. Section: Introduction • What is data? • What is the data lifecycle? • Why save it? • Background • Class content • Evaluation, feedback • Aftermath & conclusions

18. Went big on the dry run • Attendees (~25) • Postdoc course director • Librarians from other NYU libraries • Representatives from Office of Science and Research • Representatives from CTSA training programs • Constructive feedback, diverse perspectives

19. Opened up to whole medical center

20. Results • 30 attendees • Cross section of research represented • Basic science • Population health • Clinical • Feedback • Evaluations (23 completed) • In person questions • Follow up emails

21. Evaluation Will you use the topics covered in your work? Would you be interested in future classes that went into more detail?

22. Evaluation Other topics you would have liked to be covered? • Most common response = “More information about NYULMC services” (5) • Follow up questions, emails – same message

23. Section: Introduction • What is data? • What is the data lifecycle? • Why save it? • Background • Class content • Evaluation, feedback • Aftermath & conclusions

24. Since the class – taking the plunge! Direct results: • Collaborating with clinical informatics to create online learning modules • Developing data management concierge service Downstream effects: • Collaborating on Data Management Core for CTSI

25. Lessons learned • Researchers need guidance on local data support • Class good level for introduction but advanced would be helpful • Bears good mediums for delivering a message • Good way to start expanding library’s data management role

26. Links Material from the class: Karen Hanson & Alisa Surkis. Introduction to Data Management [presentation + video]. http://nyuhsl.libguides.com/data_management Other links Aileen McCrillis, Alisa Surkis, Dorice Vieira, Pauline S. Beam, Tina O'Grady. Survival and Success Beyond Grad School: Improving Library Services to Postdoctoral Researchers. MLA 2012 Glenn Gaudette. Presentation at UMass’ 2012 New England eScience Symposium. (Cardiology example) http://escholarship.umassmed.edu/escience_symposium/2012/program/9/ Images UK Data Archive. Data lifecycle image. http://www.data-archive.ac.uk/create-manage/life-cycle purpleapple428. “Let’s Go Swimming”. http://www.flickr.com/photos/purpleapple428/5452339625/ cimmyt. “Planting seeds of knowledge”. http://www.flickr.com/photos/cimmyt/8208414846/ wilf2.“Gummy smile” 2006. www.flickr.com/photos/wibbles/244268268 outcast104. “Vampire weekend” 2005. www.flickr.com/photos/outcast104/2011632229 afiler. “Piggly Wiggly Flour Bag” 2006. www.flickr.com/photos/afiler/121359709 Mel B. “Oil pour” 2008. http://www.flickr.com/photos/42dreams/2452877486 psrobin. “Baking Powder Still Life” 2010. www.flickr.com/photos/psrobin/5092598788 nedrichards. “Carrot Cake” 2006. http://www.flickr.com/photos/nedrichards/307600027 barretthall. “ears up”. http://www.flickr.com/photos/barretthall/2640229991/

27. Thank you! Contacts:karen.hanson@med.nyu.edualisa.surkis@med.nyu.edu