The document outlines the Department of Energy's (DOE) requirements for data management plans (DMPs), aimed at ensuring public access to federally funded research data. It highlights the regulations established by the White House to increase transparency and accountability in research, mandating that all proposals include a DMP or risk rejection. Key components of a DMP include data sharing strategies, standards, privacy protections, and long-term preservation plans, all of which need to be compliant with DOE guidelines.

1. Department of Energy
DMP Requirements
Brianna Marshall & Ryan Schryver
Research Data Services | September 11, 2014

2. Speaking today
Brianna Marshall
Digital Curation Coordinator, General Library System
Co-lead, Research Data Services
Ryan Schryver
Research Data Librarian, Wendt Commons
Co-lead, Research Data Services

3. What is RDS?
• Interdisciplinary group of librarians, researchers, IT staff, and
graduate students
• Data management specialists
• What we do:
o Data management plans – help draft or review
o Consultations – policies, development, best practices
o Training and education
o Referral – local/national/disciplinary resources

4. DOE requirements
for your digital data

5. Overview
• New mandate released February 2013 by the White House Office
of Science and Technology Policy (OSTP)
• All federal agencies with $100M+ in R&D must develop plans to
increase public access to research results and data
• Focus on ROI: new policy intended to “maximize the impact and
accountability of the federal research investment”
• DoE is just the first of many to release its requirements to the
academic community

6. Timeline
PILOT
• Starting October 1, 2014, all FOAs will include DMP
requirement
IMPLEMENTATION
• DMP requirement will likely become DoE policy by
October 1, 2015

7. What is a DMP?
• A data management plan outlines how you will handle
data throughout research process
• States what data will be created and how
• Outlines the plans for sharing and preservation
• Justifies why access or sharing is limited

8. Compliance
• Data management plans (DMPs) are not optional
• Proposals without a DMP may be rejected without
review

9. Compliance
Researchers are expected to abide by the agreed upon
terms of their DMPs.
Short-term → Change in funding (withholding or
adjustment) at the end of each performance period
Long-term → May hurt future funding opportunities

10. Impact on your data
• Publications are (relatively) uncomplicated: PAGES will
point to publications resulting from grant funding
• Data is trickier!
o You must be ready to account for your data from the
start of funding to well beyond funding has ended
o Some data must be publicly accessible
o DoE provides guidelines but they’re often vague

11. Scope
• Any individual or entity that produces data with full or
partial DoE funding must provide access to:
o data displayed in publications resulting from
funding
o data needed to replicate and verify research
• Classified and restricted projects may have different
requirements

12. Scope
• “Not all data need to be shared and preserved. The
costs and benefits of doing so should be considered in
data management planning.” -DoE

13. DMP content
1. Sharing
2. Standards
3. Privacy/Security
4. Accountability
5. Access
6. Preservation

14. 1. Sharing
Identify:
• How you intend to share your data
• Restrictions on who may access the data & conditions
• Any special requirements for data sharing
o Proprietary software needed to access/interpret data
o Licenses for re-use and re-distribution
o Guidance on how to cite data

15. 2. Standards
• Should reflect “relevant standards and community best
practices” for data and metadata.
• What you’re doing now may be “right,” but may need
modification to meet access/validation requirements.
• RDS can work with you to determine these.

16. 3. Privacy / security
• Must explain how personally identifiable, confidential, or
data that could have intellectual property or national
security ramifications will be protected.
• Sensitive data may be exempt from immediate public
access—you still to account for how you’ll share and
preserve it.

17. 4. Accountability
• Detail how sharing and preservation will enable
validation of your results
• “Data sharing should make digital research data
available to and useful for the scientific community,
industry, and the public.”

18. 5. Access
Describe:
• How research-generated data will be shared/preserved.
• How raw and analyzed data will be open, machine-
readable and digitally accessible to the public at time
of work or data’s publication
• Use of community accepted repositories and publicly
accessible databases whenever possible

19. 5. Access
Potential platforms:
• Supplemental data to publication
• Subject-specific data repositories
o Atmospheric Radiation Measurement Data Centers
o Data Explorer for Energy and Science Data
• General data repositories
o Dryad (datadryad.org)
o Figshare (figshare.com)

20. 6. Preservation
Describe:
o Your long-term plan for the data (5-W’s)
o Cost/benefit considerations for preservation after direct
project funding ends
o Whether data will be transferred to another entity
(institutional or community repository)

21. 6. Preservation
Keep in mind:
“DMPs that explicitly or implicitly commit data
management resources at a facility beyond what is
conventionally made available to approved users should
be accompanied by written approval from that
facility” -DoE

22. Writing your DMP
→ https://dmptool.org
Schedule a one-on-one consultation with RDS
http://researchdata.wisc.edu
+ DoE Template (new)

23. Thank you!
Questions?