Appendix A.6 Research Data Management Plan (RDMP) BAA 24-02Template_C.docx
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- Solicitation number
- IARPA-BAA-24-02
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This document provides a template for a Research Data Management Plan (RDMP) required in proposals submitted under Intelligence Advanced Research Projects Activity (IARPA) Broad Agency Announcement (BAA) 24-02. The RDMP must address eight required elements including a description of the types of research data to be collected, standards for data format and content, plans for making data publicly accessible at publication or within a reasonable time, proposed data repositories, retention periods of at least three years, and policies for sharing, protection of privacy and security, and justification for not sharing data. Offerors are also required to submit metadata for published datasets to IARPA in a timely manner.
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Appendix A.6 Research Data Management Plan (RDMP) BAA 24-02
The Offeror must address each of the elements noted below.
The RDMP shall comply with the requirements stated in Section 4 of the BAA. In doing so, it will support the objectives of the ODNI Public Access Plan at https://www.iarpa.gov/index.php/working-with-iarpa/public-access-to-iarpa-research
1. Sponsoring IARPA Program (required):
2. Offeror (i.e., lead organization responding to BAA) (required):
3. Offeror point of contact (required):
The point of contact is the proposed principal investigator (PI) or his/her Designee.
a. Name and Position:
b. Organization:
c. Email:
d. Phone:
4. Research data types (required):
Provide a brief, high-level description of the types of data to be collected or produced in the course of the project.
5. Standards for research data and metadata content and format (required):
Use standards reflecting the best practices of the relevant scientific discipline and research community whenever possible.
6. Plans for making the research data that underlie the results in peer-reviewed journal articles and conference papers digitally accessible to the public at the time of publication/conference or within a reasonable time thereafter (required):
The requirement could be met by including the data as supplementary information to a peer reviewed journal article or conference paper or by depositing the data in suitable repositories available to the public.
a. Anticipated method(s) of making research data publicly accessible:
___ Provide dataset(s) to publisher as supplementary information (if publishers allow public access) ___ Deposit dataset(s) in Data Repository ___ Other (specify)_________________________
b. Proposed research data repository or repositories (for dataset(s) not provided as supplementary information):
Suitable repositories could be discipline-specific repositories, general purpose research data repositories, or institutional repositories, as long as they are publicly accessible.
c. Retention period, at least three years after publication of associated research results:
State the minimum length of time the data will remain publicly accessible.
d. Submittal of metadata to IARPA:
Offerors are required to make datasets underlying the results published in peer-reviewed journal or conferences digitally accessible to the public to the extent feasible. Here, the Proposer should state a commitment to submit metadata on such datasets to IARPA in a timely manner. Note: This does not supersede any requirements for deliverable data, as the award document may include metadata as a deliverable item.
7. Policies and provisions for sharing and preservation (as applicable):
a. Policies and provisions for appropriate protection of privacy, confidentiality, security, and intellectual property:
b. Descriptions of tools, including software, which may be needed to access and interpret the data:
c. Policies and provisions for re-use, re-distribution, and production of derivative works:
8. Justification for not sharing and/or preserving data underlying the results of peer-reviewed publications (as applicable):
If, for legitimate reasons, the data cannot be shared and preserved, the plan must include a justification detailing such reasons. Potential reasons may include privacy, confidentiality, security, IP rights considerations; size of data sets; cost of sharing and preservation; time required to prepare the dataset(s) for sharing and preservation.
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