Research data

1. MSU Libraries
Research Data Management
Research Data
Management
Guidance
Aaron Collie
collie@msu.edu

2. MSU Libraries
Research Data Management
Volunstrordinaries!
Aaron
Collie
Hailey
Mooney
Devin Higgins Brandon
Locke
Ranti Junus Thomas
Padilla
Judy
Matthews
Tina Qin

3. MSU Libraries
Research Data Management
We teach people about RDM
Librarianship
Training
Assessment
Consultation
High
Touch
6-12 new clients per semester
100% satisfied / 100% would use
again
71% of new clients are referrals
60% requested additional services
15% through NFO, 14% through
website

4. MSU Libraries
Research Data Management
Here is your crash course
• Who: You, as the designated steward
• What: “the data”
• When: Minimum 3 years after
publ./degree
• Where: Managed networked storage
• Why: Legal, Ethical, Scholarly
• How: With fidelity and documentation
sufficient to reproduce the research

5. MSU Libraries
Research Data Management
Want to hear more?
Faculty Seminars in
Research &
Instructional
Technology
Research Data
Management
2:00 pm
May 12, 2015
112 Bessey Hall

6. MSU Libraries
Research Data Management
But why are we really here?
• Impetus: NSF has mandated that all grant applications
submitted after January 18th, 2011 must include a
supplemental “Data Management Plan”
• Effect: The original NSF mandate has had a domino
effect, and many funders now require or state guidelines
for data management of grant funded research
• Response: Data management has not traditionally
received a full treatment in (many) graduate and doctoral
curricula; intervention is necessary

7. MSU Libraries
Research Data Management
More Funder Policies
NASA “promotes the full and open sharing of all data”
“requires that data…be submitted to and archived by
designated national data centers.”
“expects the timely release and sharing of final research data"
"IMLS encourages sharing of research data."
“…should describe how the project team will manage and
disseminate data generated by the project”

8. MSU Libraries
Research Data Management
 Policies for re-use, re-distribution, and creation of
derivatives
 Plans for archiving data, samples, and other research
outcomes, maintaining access
 Types of data, samples, physical collections, software
generated
• Standards for data and metadata format and content
• Access and sharing policies, with stipulations for
privacy, confidentiality, security, intellectual property, or
other rights or requirements
NSF Data Management
Plan

9. MSU Libraries
Research Data Management
• NSF will not evaluate any proposal
missing a DMP
• PI may state that project will not generate
data
• DMP is reviewed as part of intellectual
merit or broader impacts of application, or
both
• Costs to implement DMP may be included
in proposal’s budget
• May be up to two pages long
NSF Data Management
Plan

10. MSU Libraries
Research Data Management
• Investigators seeking $500,000 or more in direct costs in any year
should include a description of how final research data will be
shared, or explain why data sharing is not possible.
• The precise content of the data-sharing plan will vary, depending on
the data being collected and how the investigator is planning to
share the data.
• More stringent data management and sharing requirements may be
required in specific NIH Funding Opportunity Announcements.
Principal Investigators must discuss how these requirements will be
met in their Data Sharing Plans.
NIH Data Management Plan

11. MSU Libraries
Research Data Management
 Roles and responsibilities
 Expected Data
 Period of data retention
• Data formats and dissemination
• Data storage and preservation of access
NEH-ODH Data Management
Plan

12. MSU Libraries
Research Data Management
Positive reinforcement….
• National Science Foundation Data
Management Plan mandate (January 18,
2011)
• Presidential Memorandum on Managing
Government Records (August 24, 2012)
– Managing Government Records Directive: All
permanent electronic records in Federal
agencies will be managed electronically to the
fullest extent possible for eventual transfer
and accessioning by NARA in an electronic
format.

13. MSU Libraries
Research Data Management
Positive reinforcement… (cont.)
• White House policy memo (February 22,
2013)
– Increasing Access to the Results of Federally Funded Scientific
Research: Federal agencies with more than $100M in R&D
expenditures must develop plans to make the published results
of federally funded research freely available to the public within
one year of publication.
• OSTP policy memo (March 20, 2014)
– Improving the Management of and Access to Scientific
Collections: directs each Federal agency that owns, maintains,
or otherwise financially supports permanent scientific collections
to develop a draft scientific-collections management and access
policy within six months.

14. MSU Libraries
Research Data Management
Teeth!
• AHRQ = “[unclassified digital data] should be
stored and publicly accessible to search,
retrieve, and analyze. For sharing of data in
digital format, all AHRQ-funded researchers
will be required to include a data
management plan for sharing final research
data in digital format, or state why data
sharing is not possible.
• NASA = This plan extends NASA’s culture of
open data access to all NASA-funded
research.”
• USDA = Phased approach beginning with

15. MSU Libraries
Research Data Management
Local Response: Policy
– University Research Council Best Practices
Research Data: Management, Control, and
Access
• To assure that research data are appropriately
recorded, archived for a reasonable period of time,
and available for review under the appropriate
circumstances.
– Ownership = MSU
– “Stewardship” = You
– Period of Retention = 3 years
– Transfer of Responsibility = Written Request

16. MSU Libraries
Research Data Management
Broader Response: Changing
Data Landscapes
• Data Management Competencies
– Standards & Best Practices
– Discipline Specific Discourse
• Data sharing and open data
– Data sets as publications
– Data journals
– Citations for data (e.g., used in secondary
analysis)
– Data as supplementary materials to traditional
articles
– Data repositories and archives

17. MSU Libraries
Research Data Management
Curation responsibilities (Carlson, The Chronicle, 2006)
“Data from Big Science is … easier to handle, understand and archive.
Small Science is horribly heterogeneous and far more vast. In time Small
Science will generate 2-3 times more data than Big Science.”
big science
data
small science data
institution?
domain?
MacColl, John (2010). The Role of libraries in data curation. RLG Partnership Annual Meeting, Chicago. June 2010

18. MSU Libraries
Research Data Management
Data Sharing Impacts
• Reinforces open
scientific inquiry
• Encourages diversity
of analysis and opinion
• Promotes new
research, testing of
new or alternative
hypotheses and
methods of analysis
• Supports studies on
data collection
methods and
measurement
Cc http://www.flickr.com/photos/pinchof_10/

19. MSU Libraries
Research Data Management
Data Sharing Impacts
• Facilitates education
of new researchers
• Enables exploration
of topics not
envisioned by initial
investigators
• Permits creation of
new datasets by
combining data from
multiple sources

20. MSU Libraries
Research Data Management
Tools to help

21. MSU Libraries
Research Data Management
Questions?
• Aaron Collie
• collie@msu.edu