Frequently Asked Questions
BD2K Data Discovery Index Coordination Consortium
What is the page limit for the Research Strategy section of the application?
The overall page limit for this section is twelve pages (as per http://grants.nih.gov/grants/forms_page_limits.htm#other). There are guidelines for the number of pages for the 4 mandated sections: DDICC Overview (1-2 pages), DDICC Community Engagement Capabilities (1-4 pages), DDICC Task Forces and Pilot Projects (1-6 pages), and DDICC Administrative Coordination and Management (1-4 pages). These are given in ranges to allow for some flexibility for the applicant, but the total page length of the Research Strategy cannot exceed 12 pages.
Does the FOA intend that a functional Data Discovery Index (DDI) be developed during the funding period ?
This FOA is not intended to develop the DDI itself, but rather to create a consortium that will work with NIH to address critical issues relevant to development of an NIH Data Discovery Index (DDI). By the end of the three-year award, the DDICC should identify key features and approaches that could help inform subsequent deployment of an NIH DDI. Responses to the FOA should consider how their proposal would inform the feasibility of a future data index that would enable data discovery and access while also contributing to increased citability of biomedical data.
The awardee will develop a DDI Coordination Consortium (DDICC) that will work with NIH and community stakeholders to conduct outreach; promote communication; constitute and coordinate Task Forces to study relevant questions related to biomedical data discovery, access, and citation; and fund small pilot projects to collaboratively test possible solutions. Community engagement is a key feature of DDICC approach, and the DDICC will be expected to foster the wide-scale collaborations and partnerships between and among key stakeholders to demonstrate feasibility of the concept.
What are Task Forces?
The awardee will constitute and coordinate multiple Task Forces, each with its own focal area. Each Task Force will study a critical issue associated with approaches to developing or implementing a DDI (for example, it might address data access, discovery, citation, or other topics identified by the applicant or the community). Task Forces will coordinate collaborative pilot projects that address possible solutions to their topic area. These pilot projects are expected to be short-term, nimble, and informative, so that the DDI can learn through both associated failures and successes. It is expected that Task Forces will help assure community engagement and facilitate coalescence of community activities around specific, critical issues related to the DDI, and will collaborate with NIH as appropriate.
If I already have a background in computer science, high performance computing, data mining, bioinformatics, or a related field, is my background considered too close to be eligible to apply to this program?
In general, no background is too close to biomedical data science to apply to this program since “Candidates may enter the program from various backgrounds … [including] biomedical data scientists who already have some background in areas relevant to Big Data Science but who want to gain further expertise.” However, when a candidate is a former PD/PI on a research grant or K award, the candidate must demonstrate a significant shift in research focus to Big Data science.
How do activities of the DDICC awardee relate to other funded awards in the BD2K Program?
This FOA is one of a number of BD2K programs, and how the DDICC may interact with other components of BD2K will be determined by NIH and the DDICC Steering Committee, to identify possible areas of synergy that may benefit the DDI or BD2K as a whole.
For the proposal formatting structure, in the RFA Section IV and on the FAQs, you provide information on what is to be in the 12 pages for the research strategy. Does this need to include the typical sections: Significance, Innovation, Approach or are the sections mentioned in lieu of these?
In your application, please address the review criteria (Significance, Investigator(s), Innovation, Approach, Environment) as instructed in the FOA. Whether you plan to do this individually or collectively is up to you.
Note that it is important for you to thoroughly read the FOA to understand the scope and objectives of the DDICC and ensure that the application addresses the four required subsections: DDICC Overview, Community Engagement Capabilities, Task Forces and Pilot Projects, and Administrative Coordination and Management.
Additional guidance on formatting the research plan may be found at http://grants.nih.gov/grants/funding/424/SF424_RR_Guide_General_Adobe_VerC.pdf including:
If an applicant has multiple Specific Aims, then the applicant may address Significance, Innovation and Approach for each Specific Aim individually, or may address Significance, Innovation and Approach for all of the Specific Aims collectively.
- Mentored Career Development Award in Biomedical Big Data Science for Clinicians and Doctorally Prepared Scientists (K01)
Due Date: April 1, 2015
- Courses for Skills Development in Biomedical Big Data Science (R25)
Due Date: April 1, 2015
- Open Educational Resources for Biomedical Big Data (R25
Due Date: April 1, 2015
- Revisions to Add Biomedical Big Data Training to Active NLM Institutional Training Grants in Biomedical Informatics (T15)
Due Date: July 27, 2015