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The standard requirements for a DMP may be found in Section VIII of this Announcement. The
DMP is an integral component of the pilot program and is expected to cover quality control, data
processing, data flow, data archiving, and data distribution.
In addition, the DMP must specifically address:
• Additional BER requirements and guidance for digital data management
(https://science.osti.gov/ber/Funding-Opportunities/Digital-Data-Management).
• How FAIR (Findable, Accessible, Interoperable, and Reusable)
2
principles will apply to the
anticipated data sets, software
3
, and models
4
to be developed.
• What developed software, data sets, and models will be made available using an
“opensource” licensing arrangement, noting the Software Package Data Exchange (SPDX)
identifier(s) (https://spdx.org/licenses/) when possible, and where deviation in this
arrangement is expected from The Open Source Initiative’s “Open Source Definition”
(https://opensource.org/osd), a specific justification must be provided.
• How best practices in scientific software development will be applied to any development
activities. For more information on best practices, see Better Scientific Software
(https://bssw.io/).
APPENDIX 7: PROMOTING INCLUSIVE AND EQUITABLE RESEARCH (PIER) PLAN
All new and renewal proposals that are not for conference support must provide a Promoting
Inclusive and Equitable Research (PIER) Plan as an appendix to the research narrative. The
PIER plan should describe the activities and strategies of the applicant to promote equity and
inclusion as an intrinsic element to advancing scientific excellence in the research project within
the context of the proposing institution and any associated research group(s). Plans may include,
but are not limited to: strategies of your institution (and collaborating institutions, if applicable)
for enhanced recruitment of undergraduate students, graduate students, and early-stage
investigators (postdoctoral researchers, and others), including individuals from diverse
backgrounds and groups historically underrepresented in the research community; strategies for
creating and sustaining a positive, inclusive, safe, and professional research and training
environment that fosters a sense of belonging among all research personnel; and/or training,
mentoring, and professional development opportunities.
5
Plans may incorporate or build upon
existing diversity, equity, accessibility, and inclusion efforts of the project key personnel or
applicant institution(s), but should not be a re-statement of standard institutional policies or
broad principles. The complexity and detail of a PIER is expected to increase with the size of the
research team and the number of personnel to be supported.
2
Wilkinson, M. D. et al. The FAIR Guiding Principles for Scientific Data Management and Stewardship. Sci. Data
3:160018, 2016. https://doi.org/10.1038/sdata.2016.18
3
Chue Hong, N. P., Katz, D. S., Barker, M., Lamprecht, A-L, Martinez, C., Psomopoulos, F. E., Harrow, J., Castro,
L. J., Gruenpeter, M., Martinez, P. A., Honeyman, T., et al. (2022). FAIR Principles for Research Software version
1.0. (FAIR4RS Principles v1.0). Research Data Alliance. DOI: https://doi.org/10.15497/RDA00068
4
Ravi, N., Chaturvedi, P., Huerta, E.A. et al. FAIR principles for AI models with a practical application for
accelerated high energy diffraction microscopy. Sci Data 9, 657 (2022). https://doi.org/10.1038/s41597-022-01712-9
5
Please see additional information at https://science.osti.gov/SW-DEI/DOE-Diversity-Equity-and-Inclusion-
Policies/Q-and-As#definitions.