This document summarizes Stephen Abrams' presentation on supporting research data management at the University of California. It discusses the justification for research data management, including funder mandates and evolving scholarly norms. It then describes services provided by the UC Curation Center (UC3) to support research data management at UC campuses, such as the DMPTool for creating data management plans, the Dash data repository, and collaborative projects and initiatives. Challenges in supporting research data management are also noted.
2. Research data management
Justification
university of california
Funder mandates
Pre-publication
requirements
Institutional policies
Evolving norms of scholarly
practice
Benefits
Increase the reach and
consequence of
scholarship
Encourage synergistic
research
Avoid needless duplication
of effort
Ensure the integrity of the
academic enterprise
Providing the UC
community with innovative
curation solutions
supporting its research,
teaching, and learning
activities
UC3
4. DMPTool
Create, review, and share data
management plans
planning
Templates for 30 public and private funders
Integrated with campus InCommon/Shibboleth
IdPs
Campus-customized links to helpful guidance,
local and disciplinary services, and examples
Opportunity for institutional review
Work underway to integrate with Center for Open
Science’s Open Science Framework
http://dmptool.org/
5. DMPTool
Supported funder templates
planning
Dept. Education
DOE
DOE Office of Science
Generic DCC
GoMRI Research Consortium
IMLS Digital Content
IMLS New Software Tools
IMLS Research Data
Joint Fire Safety Program
Moore Foundation
NEH ODH
NIH
NIH GDS
NOAA
NSF
http://dmptool.org/
NSF AGS
NSF AST
NSF BCO-DMO
NSF BIO
NSF CHE
NSF CISE
NSF DMR
NSF EAR
NSF HER
NSF ENG
NSF PHY
NSF SBE
Sloan Foundation
USDA NIFA
USGS
6. Dash
Self-service data curation portal
optimized for use by individual scholars
data sharing made easy
Intuitive UI/UX
Drag-and-drop upload
DOI assignment
Pro-active UC3 management
Replication to UCLA and UCSD/SDSC private clouds
Faceted search and browse
Campus-specific branding and URLs
http://dash.cdlib.org/
7. Dash
Campus adoption
data sharing made easy
Berkeley
Irvine
Merced
Riverside (in progress)
San Francisco
Santa Cruz
http://dash.berkeley.edu/
http://dash.lib.uri.edu/
http://dash.ucmerced.edu/
http://dash.ucr.edu/
http://datashare.ucsf.edu/
http://dash.library.ucsc.edu/
8. Dash
Operated on a partial cost-recovery basis
sustainability
Price for the UC community is $0.65/GB/year
A UC-wide open data initiative could provide 10
GB of Dash service to every faculty member,
research staff, and doctoral student for
$194,506/year ($6.50 per participant)
Campus Faculty Staff Doctoral TB Cost
Berkeley 1,280 1,581 2,352 52.1 $ 33,885
Davis 1,274 1,721 1,259 42.5 $ 27,651
Irvine 1,081 715 967 27.7 $ 18,005
Los Angeles 1,703 1,253 1,720 46.7 $ 30,394
Merced 197 66 109 3.7 $ 2,418
Riverside 597 350 703 16.5 $ 10,725
San Diego 1,147 1,492 1,042 36.81 $ 23,927
San Francisco 372 1,583 357 23.1 $ 15,028
Santa Barbara 750 509 1,971 32.3 $ 20,995
Santa Cruz 494 290 982 16.7 $ 11,479
8,902 9,560 11,462 299.3 $194,506
9. ONEShare and DataONE
Open data repository of “last resort”
data observation network for earth
Open data contribution for those without other
institutional or disciplinary options
Aggregation of descriptive metadata for discovery
via DataONE’s ONEMercury interface
Hosted by the University of New Mexico;
subsidized by UNM and DataONE
http://oneshare.cdlib.org/
10. Making data count
Metrics and altmetrics for research data
measurement
Platform for data level metrics (DLM) aggregating
usage data, citations, and social references
NSF-funded project in collaboration with PLOS
and DataONE
Complementary to CrossRef’s DOI event tracker
(DET) initiative
http://mdc.lagotto.io/
12. Data Pub
Blog about all things data
learn more
Posts by UC3 staff and guest authors from across
UC and the wider research community
New contributors always welcome!
http://datapub.cdlib.org/
13. Supporting research data management at UC
Opportunities
summary
Challenges
Data management is now an integral part of
scholarly activities
Greater efficiency and transparency
Complementing local activities with centralized or
coordinated initiatives
Extending the precedent set by the open access
policy
UC maintaining control of its own research
outputs
Raising awareness
Rapidly evolving landscape
New obligations require new
solutions
Integrating RDM best practices
into scholarly workflows with
minimal intrusion
How much data is out there?
Reliable long-term funding