SPECIAL NOTICE
99 -- NIH Common Fund Data Ecosystem (CFDE) Data Resource Center and Knowledge Center (OT2)
- Notice Date
- 3/29/2023 3:40:42 PM
- Notice Type
- Special Notice
- Contracting Office
- NATIONAL INSTITUTES OF HEALTH Bethesda MD 20892 US
- ZIP Code
- 20892
- Solicitation Number
- OTA-23-004
- Response Due
- 5/30/2023 2:00:00 PM
- Point of Contact
- CFDE Program Management Team
- E-Mail Address
-
CFDE@od.nih.gov
(CFDE@od.nih.gov)
- Description
- Research Opportunity Purpose: The purpose of this announcement is to invite applications from eligible organizations to establish�the Data Resource Center (DRC) and Knowledge Center (KC) for the Common Fund Data Ecosystem (CFDE).� Center award(s) made through this announcement will support CFDE by providing technical and�administrative coordination and support to enable broad use of, respectively, the data sets and�knowledge generated by the Common Fund (CF) programs.� The recipient(s) will work collaboratively�with each other and other participating components of the CFDE to integrate and coordinate�activities across the ecosystem.� The end products of CFDE will constitute a thriving ecosystem that�enables the research community to (re)use the CF generated data, knowledge and other digital�resources for discoveries and new purposes. This initiative is funded through the NIH Common Fund, which supports cross-cutting programs that�are expected to have an exceptionally high impact.� All Common Fund initiatives invite investigators�to develop bold, innovative, and often risky approaches to address problems that may seem�intractable or to seize new opportunities that offer the potential for rapid progress. Applicants responding to this ROA are expected to familiarize themselves with the other components�of the CFDE listed below, as the Data Resource and Knowledge Centers will be expected to�communicate, coordinate, and collaborate with these components. Background: The NIH Common Fund supports bold scientific programs that catalyze discovery across all biomedical�and behavioral research. Common Fund programs create a space where investigators and multiple NIH�Institutes and Centers (ICs) collaborate on innovative research addressing high-priority challenges�for the NIH as a whole and make a broader impact in the scientific community. Approximately two-thirds of CF programs generate large-scale data resources and digital tools that�are intended to be used by researchers across the entire spectrum of biomedical research.� These�resources provide unprecedented opportunities to understand biological mechanisms, interrogate�complex biological systems, deliver new types of discoveries, and rapidly advance novel treatments�and cures for many diseases. However, as a federated collection of CF programs, these resources�reside in different locations and are made accessible via different platforms, formats, and�mechanisms.� This federated setup creates unique challenges in working with CF resources in an�easily accessible, integrated, and user-friendly manner.� Multiple challenges in data collection,�curation, storage, management, and sharing must be addressed to realize the full potential of the��big data� revolution in biomedical research.� NIH is taking steps to modernize the NIH-funded�biomedical data-resource ecosystem, as described in the NIH Strategic Plan for Data Science.� In�alignment with this plan, the CF addresses data science opportunities and challenges related to CF�programs. The Common Fund Data Ecosystem (CFDE) is an infrastructure investment made by the CF to address the�growing challenges facing scientific programs that leverage data-intensive strategies.� To support�these programs and downstream data users, the CFDE is helping to ensure that all Common Fund data�sets are Findable, Accessible, Interoperable, and Reusable (FAIR), providing training for users to�operate on the data in a cloud environment, and ensuring that CF data continue to be available�after individual programs are completed.� The CFDE will amplify the impact of many CF programs by�enabling researchers to interrogate disparate data sets, thereby making new kinds of scientific�discoveries that are otherwise unattainable.� The CFDE is also being designed in parallel with NIH�IC data platforms to enable crosstalk between CF and IC data sets and address NIH-wide data�management objectives described in the NIH Strategic Plan for Data Science. The CFDE program addresses an emerging scientific opportunity, namely the removal of barriers to� enable the reuse of CF resources for new discoveries and purposes.� The CFDE is working towards�fostering scientific discovery through the (re)use of the CF generated data and digital resources�by achieving its three aims:� 1) Enable users to query across and use multiple CF data sets; 2)�Provide training and outreach to bring people to CF data and train them to work in the cloud; and�3) Coordinate and integrate infrastructure and activities into a cohesive ecosystem.� Unlocking the�full potential of CF resources through expanded (re)use will require expertise from multiple�scientific domains, including biomedicine, data science, data management, and cloud workspace training. �
- Web Link
-
SAM.gov Permalink
(https://sam.gov/opp/82cf7dc4e6b54e158359808bd99505c2/view)
- Record
- SN06633345-F 20230331/230329230103 (samdaily.us)
- Source
-
SAM.gov Link to This Notice
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