1. Library Tools Supporting
Data-Rich Research
31 January 2013
University of California Curation Center
California Digital Library

2. The research data problem
• Journal article • Research data
– Uniquely and persistently – Nope
identified
– Concept of “publish” – Not really
– Multiple copies – Typically one
– Easily findable – Difficult
– Services: impact metrics, – Nope
citation tracking, etc.
Research data is seen as a second-
class citizen in the scholarly record.

3. Where can libraries make a difference?
Research & Scholarship Lifecycle
Research
Save Collect
Create
Knowledge
Share Publish

4. Collect > Publish > Share > Save > Research
Create, edit, share, and save data
management plans
Open source curation add-in for
Microsoft Excel
Capture today’s web; build
tomorrow’s archives

5. Collect >Publish > Share > Save > Research
Create and manage persistent
identifiers: ARKs, DOIs, etc.
An infrastructure to publish and get
credit for sharing research data

6. Collect > Publish >Share > Save > Research
Curation repository: store, manage,
preserve, and share research data
Open deposit, open access
repository for spreadsheet data
Data Observation Network for Earth

7. Collect > Publish > Share > Save >Research
What’s missing to complete the “incentive” circuit?
• Impact measures, citation tracking
“Connecting the data to the
research it informs”
Altmetrics tools to measure non-
traditional products and uses , , etc.

8. The rest of the story
www.cdlib.org/uc3
dataup.cdlib.org
www.escholarship.org
wokinfo.com/products_tools/multidisciplinary/dci
John.Kunze@ucop.edu
uc3@ucop.edu for service questions