Manage Your Data, from UW RA/TA 2016 Conference

1. Welcome!
As you come in, please:
1) Sign in with your barcode
2) Take an index card and write down
one question you hope will be
answered during this presentation.

2. Manage Your Data:
Navigating Data Services
at the UW Libraries
Jenny Muilenburg & Liz Bedford
September 20, 2016
TA/RA Conference
Slideshare link

3. Today’s Session
● Introductions
● Considerations for managing research data
● Data services @ UW Libraries
● Discussions: How does this fit with your
research?
● Tips: Seattle Secrets
Questions are welcome anytime!

4. ● Database management
○ eScience Institute
○ http://escience.washington.edu/
● Data analysis
○ CSSCR
○ http://csscr.washington.edu/courses.html
○ UW-IT
○ http://itconnect.uw.edu/learn/workshops/
Not Today’s Session

5. The Data Lifecycle
Image credit: UK Data Archive

6. The Data Lifecycle
Image credit: UK Data Archive

7. Research Data Services Guide

8. Group Discussion: What are you
working with?
Turn to your neighbor(s) and ask:
● Will you be creating data in the course of your
research, or using someone else’s? Or both?
● What does your data look like? What formats
will you use? How much will there be?

9. Report Out
● Observational Data
○ Think about what this might mean for how long you
should keep your data
● Experimental Data
○ Metadata and documentation will be particularly
important
● Computational Data
○ Will your outputs be useful to others, or is it more
important to keep the algorithms and initial variables?

10. Tip #1: Seattle Food Trucks!
● All over, nearby and
on Red Square
● Many, many options
www.seattlefoodtruck.com

11. External Requirements

12. ● Funders
○ http://datasharing.sparcopen.org/
● Publishers
○ Example from Nature:
http://www.nature.com/authors/policies/availabil
ity.html
● Human Subjects/IRB
○ http://www.washington.edu/research/hsd/
● Intellectual Property
○ http://comotion.uw.edu/
External Requirements

13. Data Management Guide

14. Group Discussion: What are your
external considerations?
Turn to your neighbor(s) and ask:
● Who are your most likely Funders and
Publishers?
● Will you need to work with UW’s IRB?
● Will your research bring up intellectual
property issues?

15. Report Out
● Human Subjects? Personally Identifiable
Information?
○ Security and sharing will pose unique challenges
● Intellectual Property issues?
○ Learning about licenses will be important

16. Tip #2: UW Cherry Blossoms
● Bloom in March/
April each year
● http://depts.washi
ngton.edu/grounds
/arboriculture/qua
d_cherries.php
● Located on the
quad

17. Storage and Backup

18. 3-2-1 Rule
● Three copies, on two different storage media, at
least one of which is in a separate location
PCs and external devices (hard drives and USBs)?
Shared servers?
Remote storage and cloud services?

19. Storage and Backup Options @ UW
● Free Online storage: Google drive and U Drive
○ Google servers vs UW servers
○ Unlimited storage vs 30GB
○ FERPA compatible, but NOT for HIPAA/PHI data
● Other UW-IT servers and storage services
● Departmental offerings
○ Medicine, Computer Science & Engineering, College of
Engineering

20. Sharing and Storage Guide

21. Group Discussion: What is your
role, and who else is involved?
Turn to your neighbor(s) and ask:
● Who collects the data? Who generates the
metadata?
● Who knows where all of the data is stored and
how it’s organized?
● Who is responsible for the backup schedule?

22. Report Out
● Sole responsibility?
○ There’s a lot on your plate, but you have complete
control
● Otherwise, did you know the answer to all of
those questions?
○ You are not alone! You’ll need to make explicit
agreements about responsibility

23. Tip #3: Bowling!
● The HUB has a bowling alley
● 12 lanes, is reservable for
parties, and now has
state-of-the-art bowling
kiosks and screens.
● Food (and socks!) available
for purchase

24. Organization and Documentation

25. Organization
● Naming conventions
○ Brief but descriptive names
○ Include info about dates and versioning
● Folder organization
○ Organize by data type, subject, project stage, etc.
○ Consistency is key!
● Regular cleanup

26. Documentation
● Metadata is your friend!
○ Varies by discipline - find what works for you
● Document data AND process
○ Software to the rescue
○ Here’s a great example readme file
● Check out the eScience Institute’s Reproducibility
and Open Science Working Group

27. Organization and Format Guide

28. Group Discussion: Open Data
Turn to your neighbor(s) and ask:
● What is your field’s general reaction to the idea
that data should be shared openly?
● Do you support Open Data? Why or why not?

29. Index Cards:
On the second side of your card please write down
the most important issue that you would like to
know more about.
Pass the index cards to the center.

30. Report Out
● Have you ever used data gathered by
someone else?
○ Think about how you plan to give them credit
● Do you plan to share your data?
○ Deciding this before you begin collecting will help guide
your choices for documentation and organization

31. Tip #4: Free Art Across the City
● Henry Art Gallery
and Burke
Museum
● Olympic Park
● Frye Museum
● First Thursdays in
Pioneer Square

32. Sharing and Preservation

33. Sharing and Licensing
● Where to share?
○ NIH has a list of approved sharing sites
○ DIY Sharing: Roberts Lab website
○ Community websites like the Neuroscience
Information Network
● Attaching a license
○ Options: Creative Commons, Open Data Commons
○ UW CoMotion has more info

34. Data Preservation and Archiving
● Sharing != Archiving
○ You are looking for long-term preservation and
accessibility
○ Sometimes a repository is good for both, often not
● What to preserve?
○ Raw data, final data, code, software?
● Where to preserve?
○ UW ResearchWorks, funder repository, Registry of
Research Data Repositories

35. ResearchWorks Archive

36. Data Management FAQ

37. Ask Us!
Jenny Muilenburg, jmuil@uw.edu
Liz Bedford, ebedford@uw.edu
UW Libraries Data Services Team,
uwlibs-data@uw.edu