1. Update from the Data Management/Curation Task Force
November 2013
Image credit, Flickr user SuziJane:

2. Data Management/Curation Task Force
Who we are: Laurie Taylor, Hannah Norton, Rolando Garcia-Milian, Denise Bennett, Val Minson, Joe Aufmuth, David Schwieder, Blake Landor, Erik Deumens, Rob Ferl, Cecilia Botero
Our charge: To assess needs, make recommendations, and develop support for the role of the Libraries in campus-wide data management and curation.
Formed December 2012

3. Needs assessment Focus group discussions:
Agricultural and Biological Engineering
Electrical & Computer Engineering
Classics
Wildlife/Tropical Conservation & Development
CLAS IT
English and Film Studies
Samuel Proctor Oral History Program
African Studies archives
Political Science
Chemistry
Campus-wide needs assessment survey, with 288 responses
Survey: 25% faculty, 64% grad students, some staff, postdocs; all colleges except Law had at least one response

4. Needs assessment – what we’ve learned
What type of data do you generate?

5. Needs assessment – what we’ve learned
How do you store your data?

6. Needs assessment – what we’ve learned
In general, with whom are you willing to share your data?
Top things that limit ability to share data: intellectual property, legal, personal preference

7. Needs assessment – what we’ve learned
If you are sharing or planning to share your data, what approach is or will be used?

8. Needs assessment – what we’ve learned
What resources outside of your department do you need to best manage and analyze your data?

9. Needs assessment – what we’ve learned
What concerns do you have?
Could use more formal help in establishing and maintaining databases.
Data storage capacity for long term storage is inadequate.
I am concerned that my data are unorganized and that I may somehow lose them.
I pay a student to handle it now, but when they graduate, I may have a problem.
Need additional training for data collection, management, and editing.
Need more consistent processes so everyone is storing data at the highest level without having to research all of the options.

10.
Describe overall structure. Mention links to Datasets: Where to Find Them; Research Computing

12. Some next steps Additional trainings and workshops
For librarians/library staff
For students/faculty/staff, modeled on our successful fall workshop – “Big data, little data: having it all”
Further customization of DMPTool
Recommendations on data reference, data instruction, visualization, and repository support

13. Questions?
Image credit, Flickr user urbanmkr: