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Why would I ever let a librarian* anywhere near my research data?
C. Tobin Magle, PhDData Management Specialist
Morgan Library
Libraries = books
Libraries = digital information
Libraries = data?
Libraries are about
organizing and describing
things.
Why not data?
Libraries = expertise
Libraries = access
Short answer: open dataLibrarians have the skills to help
researches plan, organize, describe and share research data
Adelaide State Library of South Australia
Questions
• Why open data?
• What is the role of libraries?
• How can CSU libraries help?
data management != data sharing
• but the same principles apply to both
Why should I care about data management?
Rinehart, AK. “Getting emotional about data” College & Research Libraries News September 2015 vol. 76 no. 8 437-440
What is data management?
The policies, practices and procedures needed to manage the storage, access and preservation of data
produced from a research project
Everything* is digital
• Needs new skills• Data are ephemeral• Facilitates sharing
*ok not everything, but most things
More researchers
https://www.nsf.gov/statistics/2016/nsf16300/digest/nsf16300.pdf
Working Email
Data are extant(If status known)
Status of data (if response)
Response (if email working)
doi:10.1016/j.cub.2013.11.014
We are losing vast amounts of data
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Research funding is tight
http://www.bu.edu/research/articles/funding-for-scientific-research/
Funders want to do more with less
http://figshare.com/blog/2015_The_year_of_open_data_mandates/143
White House’s 2013 OSTP
“The Obama Administration is committed to the proposition that citizens deserve easy access to the results of research their tax dollars have paid for. That’s why, in a policy memorandum released today, OSTP Director John Holdren has directed Federal agencies with more than $100M in R&D expenditures to develop plans to make the results of federally funded research freely available to the public—generally within one year of publication.”
http://www.whitehouse.gov/blog/2013/02/22/expanding-public-access-results-federally-funded-research
NSF post-award requirements
“Investigators are expected to share with other researchers, at no more than incremental cost and within a reasonable time, the primary data, samples, physical collections and other supporting materials created or gathered in the course of work under NSF grants. Grantees are expected to encourage and facilitate such sharing.”
http://www.nsf.gov/pubs/policydocs/pappguide/nsf11001/aag_6.jsp#VID4
It’s good for science
• Improves research reproducibility
• Improves efficiency
• Spurs innovation
It’s good for you
• You are the future data user
• Your data get used (and cited)
• Exposure to collaborators
• More competitive grants
Where does data management fit into
research?
Throughout the whole research cycle
Hypothesis
The research cycle
Hypothesis Experimental design
The research cycle
Hypothesis DataExperimental design
The research cycle
Hypothesis DataExperimental design
Results
The research cycle
Hypothesis DataExperimental design
ResultsArticle
The research cycle
Hypothesis DataExperimental design
ResultsArticle
The research cycle
Hypothesis DataExperimental design
ResultsArticle
Data Management Plans
The research cycle
HypothesisRaw data
Experimental design
Tidy Data
ResultsArticle
Data Management Plans
Cleaning
Analysis
The research cycle
HypothesisRaw data
Experimental design
Tidy Data
ResultsArticle
Data Management Plans
Cleaning
Sharing
Analysis
Open Data
The research cycle
HypothesisRaw data
Experimental design
Tidy Data
ResultsArticle
Data Management Plans
Cleaning
Sharing
Analysis
Open Data
Code Reproducible Research
The research cycle
HypothesisRaw data
Experimental design
Tidy Data
ResultsArticle
Data Management Plans
Cleaning
Sharing
Analysis
Open Data
Code Reproducible Research
Reuse
The research cycle
How are libraries getting involved?
•We’re NOT the data police
•We want to help!
•We provide services
Data Management Serviceshttps://lib.colostate.edu/services/data-management
Workshops
One on one meetings
• How do I write a DMP?
• How do I organize my data?
• How do I clean and format my data?
• How do I automate my analyses?
• How do I get my data ready to share?
Data archiving service
• CSU Digital Repository• 78 Datasets
• Satisfy requirements for manuscripts and grants
• At no cost <1 TB• $150/TB for 5 years• $300/TB for >5 years
Large Projects
• Shortgrass Steppe – LTER (32) http://hdl.handle.net/10217/100254
• Yellowstone Willows LTREB (21) http://hdl.handle.net/10217/173646
• RAPID: Characterizing the Response of a Burned Landscape to an Unusual and Extreme Rain Event (4) http://hdl.handle.net/10217/100371
Departments and Schools
Atmospheric science
23%
Bioagricultural sciences and pest
management9%
Biology9%
Clinical Sciences18%
Ecology9%
Ecosystem science and sustainability
5%
Psychology5%
Soil and crop science
14%
Statistics5%
The Energy institute5%
Take home points
• Data management requires new skills
• Library staff have those skills
• CSU Libraries can help • Education• One on one meetings• Digital Repository
Thanks!
Data Management Services
http://lib.colostate.edu/services/data-management
Need help?
Email [email protected]
Contact Tobin
[email protected]: @tobinmagle
http://orcid.org/0000-0003-3185-7034
