Opportunity Information: Apply for RFA HG 14 001
Apply for RFA HG 14 001
- The National Institutes of Health in the education environment food and nutrition health income security and social services sector is offering a public funding opportunity titled "BD2K LINCS Perturbation Data Coordination and Integration Center (DCIC) (U54)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.113 Environmental Health 93.121 Oral Diseases and Disorders Research 93.172 Human Genome Research 93.173 Research Related to Deafness and Communication Disorders 93.213 Research and Training in Complementary and Integrative Health 93.233 National Center on Sleep Disorders Research 93.242 Mental Health Research Grants 93.273 Alcohol Research Programs 93.279 Drug Abuse and Addiction Research Programs 93.286 Discovery and Applied Research for Technological Innovations to Improve Human Health 93.307 Minority Health and Health Disparities Research 93.310 Trans NIH Research Support 93.393 Cancer Cause and Prevention Research 93.394 Cancer Detection and Diagnosis Research 93.395 Cancer Treatment Research 93.396 Cancer Biology Research 93.399 Cancer Control 93.837 Cardiovascular Diseases Research 93.838 Lung Diseases Research 93.839 Blood Diseases and Resources Research 93.846 Arthritis, Musculoskeletal and Skin Diseases Research 93.847 Diabetes, Digestive, and Kidney Diseases Extramural Research 93.853 Extramural Research Programs in the Neurosciences and Neurological Disorders 93.855 Allergy and Infectious Diseases Research 93.856 Microbiology and Infectious Diseases Research 93.865 Child Health and Human Development Extramural Research 93.866 Aging Research 93.867 Vision Research 93.879 Medical Library Assistance.
- This funding opportunity was created on Dec 4, 2013 and posted on Dec 4, 2013.
- Applicants must submit their applications by Mar 19, 2014. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $5,000,000.00 to eligible and selected applicants.
- Each selected applicant is eligible to receive up to $3,000,000.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Native American tribal organizations (other than Federally recognized tribal governments) Private institutions of higher education City or township governments Public housing authorities/Indian housing authorities Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education County governments Others (see text field entitled Additional Information on Eligibility for clarification) State governments Small businesses Independent school districts Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Public and State controlled institutions of higher education Special district governments Native American tribal governments (Federally recognized) For profit organizations other than small businesses.
- Other Eligible Applicants include the following Alaska Native and Native Hawaiian Serving Institutions Asian American Native American Pacific Islander Serving Institutions (AANAPISISs) Eligible Agencies of the Federal Government Faith based or Community based Organizations Hispanic serving Institutions Historically Black Colleges and Universities (HBCUs) Indian/Native American Tribal Governments (Other than Federally Recognized) Regional Organizations Tribally Controlled Colleges and Universities (TCCUs) U.S. Territory or Possession Non domestic (non U.S.) Entities (Foreign Institutions) are not eligible to apply. Non domestic (non U.S.) components of U.S. Organizations are eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are allowed.
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Opportunity Summary:
The BD2K LINCS Perturbation Data Coordination and Integration Center (DCIC) (U54) funding opportunity (RFA-HG-14-001) is an NIH cooperative agreement aimed at building a centralized hub that makes LINCS perturbation-response data easier to find, interpret, combine, and use at scale. It sits at the intersection of two major NIH initiatives: Big Data to Knowledge (BD2K), which focuses on improving the ways biomedical big data are managed and analyzed, and the Library of Integrated Network-Based Cellular Signatures (LINCS), which generates large-scale experimental data describing how cells respond to different perturbations (for example, drugs, genetic changes, or other biological interventions). The central idea is that LINCS produces vast, diverse datasets and signatures, and the scientific community needs a dedicated coordinating center to standardize, integrate, and deliver those resources in a practical, user-friendly way.
The DCIC is expected to focus specifically on perturbagen response data and derived “signatures” (patterns that summarize a cellular response to a perturbation). A major priority is ensuring consistent annotation across the LINCS program, so that datasets produced by different groups can be compared and reused without constant manual cleanup. That includes harmonizing metadata, applying common identifiers and controlled vocabularies where appropriate, and improving overall data quality and interpretability. The DCIC is also expected to incorporate relevant non-LINCS perturbation data into the broader LINCS resource, but with an important constraint: it should integrate and connect to outside datasets without simply duplicating existing databases. In practice, this means emphasizing interoperability, cross-references, and linked access rather than building yet another standalone repository that replicates what already exists elsewhere.
Another core expectation is integration across data types, tools, and signatures so researchers can explore LINCS outputs seamlessly. LINCS data can span multiple experimental modalities and formats, so the DCIC is meant to provide coherent ways to navigate across them and to relate experimental results to computational tools and signatures derived from those results. The FOA highlights the need to support linkages to external knowledge bases, data portals, and community resources, which implies the DCIC should prioritize standards-based connectivity (for example, APIs, stable identifiers, and mappings to widely used biomedical resources) so LINCS outputs can be used in broader biomedical workflows rather than remaining siloed.
Beyond data plumbing, the opportunity emphasizes usability and community uptake. The DCIC should build innovative access and query tools that can work across disparate databases hosting multiple data types, enabling researchers with different backgrounds to search, retrieve, and analyze perturbation-response information efficiently. Dissemination is explicitly part of the mission: the center is expected to distribute tools and resources broadly across the biomedical research community, not just serve LINCS insiders. Training is also a required element, with an emphasis on building perturbation data science skills, meaning the DCIC should provide education, documentation, and possibly workshops or other community-facing training activities to help users effectively work with these data and tools.
Administratively, this is a discretionary NIH opportunity using a cooperative agreement mechanism (U54), which typically means NIH program staff will have substantial involvement in overseeing progress and coordinating with related NIH-funded efforts. The FOA anticipated a single award (ExpectedAwards: 1), with an estimated total funding level of about $5,000,000 and an award ceiling of $3,000,000. There is no cost sharing or matching requirement listed. The program was posted on December 4, 2013, with an original/current closing date of March 19, 2014, and an archive date of April 19, 2014.
Eligibility is broad across U.S.-based organizations and includes public and private institutions of higher education, nonprofits (with and without 501(c)(3) status), for-profit entities (including small businesses and other for-profits), state and local governments, tribal governments and tribal organizations, and a variety of mission-serving institutions (such as HBCUs, Hispanic-serving institutions, and other designated minority-serving institutions). Non-U.S. (foreign) institutions are not eligible to apply directly, though non-domestic components of U.S. organizations may apply, and foreign components are allowable under NIH policy as part of an application when justified.
Finally, the FOA is positioned as part of a larger ecosystem of related NIH solicitations, including RFA-RM-13-013 for LINCS data and signature generation efforts and RFA-HG-13-009 for BD2K Centers of Excellence. In other words, the DCIC is intended to serve as connective tissue: coordinating outputs from LINCS producers, aligning with BD2K best practices for biomedical big data, and delivering an integrated, well-annotated, well-linked, and user-ready perturbation data resource to the wider research community.
FAQs: BD2K LINCS Perturbation Data Coordination and Integration Center (DCIC) (U54) - RFA-HG-14-001
What is this funding opportunity?
This opportunity is the BD2K LINCS Perturbation Data Coordination and Integration Center (DCIC) (U54), released as RFA-HG-14-001. It is an NIH cooperative agreement focused on creating a centralized coordination and integration hub for LINCS perturbation-response data and derived signatures so the data are easier to find, interpret, combine, and use at scale.
What does DCIC stand for, and what is the DCIC supposed to do?
DCIC stands for Data Coordination and Integration Center. The center is expected to coordinate, standardize, integrate, and deliver LINCS perturbation-response datasets and derived signatures in a practical, user-friendly way, including tools for access, querying, and broad dissemination to the biomedical research community.
Which NIH initiatives does this FOA connect to?
This FOA sits at the intersection of two NIH initiatives: Big Data to Knowledge (BD2K), which focuses on improving how biomedical big data are managed and analyzed, and the Library of Integrated Network-Based Cellular Signatures (LINCS), which generates large-scale experimental data describing cellular responses to perturbations.
What types of data are the main focus of the DCIC?
The primary focus is LINCS perturbagen response data and derived signatures. The FOA emphasizes supporting both raw/primary perturbation-response data and the computed or summarized patterns (signatures) that represent cellular responses to different perturbations.
What is meant by a "perturbation" or "perturbagen" in this context?
In this context, perturbations (or perturbagens) are biological interventions that alter cellular state, such as drugs, genetic changes, or other experimental interventions. LINCS measures how cells respond to these perturbations, producing large-scale datasets and response signatures.
What is meant by "signatures" in LINCS?
Signatures are derived patterns that summarize a cellular response to a perturbation. They are intended to make complex response data more interpretable and reusable across analyses and users.
Why is a dedicated coordinating and integration center needed?
LINCS produces vast and diverse datasets across multiple modalities and formats. Without a coordinating center, comparing and reusing data across producing groups can require substantial manual cleanup. The DCIC is intended to reduce that friction by standardizing annotation, harmonizing metadata, improving interpretability, and providing integrated access.
What does the FOA say about data annotation and metadata consistency?
A major priority is consistent annotation across the LINCS program. That includes harmonizing metadata, applying common identifiers and controlled vocabularies where appropriate, and improving overall data quality and interpretability so datasets from different groups can be compared and reused more easily.
Is the DCIC expected to include non-LINCS datasets?
Yes. The DCIC is expected to incorporate relevant non-LINCS perturbation data into the broader LINCS resource, with the key constraint that it should connect and integrate without simply duplicating existing databases.
Does the DCIC need to build a new standalone repository for external data?
No. The FOA emphasizes interoperability and linked access rather than creating a new database that replicates what already exists. The intent is to connect to outside datasets via cross-references and integration approaches, not duplicate external repositories.
What does "interoperability" mean for this program?
Interoperability here means standards-based connectivity that helps LINCS outputs work within broader biomedical workflows. The FOA points to linkages such as APIs, stable identifiers, mappings, and connections to external knowledge bases, data portals, and community resources.
What kind of integration is expected across LINCS resources?
The DCIC is expected to integrate across data types, tools, and signatures so researchers can navigate LINCS outputs seamlessly, even when data span multiple experimental modalities and formats. The goal is coherent navigation and the ability to relate experimental results to computational tools and derived signatures.
What kinds of tools is the DCIC expected to develop or provide?
The FOA highlights innovative access and query tools that work across disparate databases hosting multiple data types. The expectation is that researchers can search, retrieve, and analyze perturbation-response information efficiently, with tools designed for broad community use.
Who is the intended user community for the DCIC outputs?
The intended audience is the broader biomedical research community, not just LINCS-funded groups. Dissemination is explicitly part of the mission, meaning the DCIC should distribute tools and resources broadly and support community uptake.
Is training required as part of this award?
Yes. Training is described as a required element, with an emphasis on building perturbation data science skills. The DCIC is expected to provide education, documentation, and potentially workshops or other training activities to help users work effectively with the data and tools.
What award mechanism is used for this program?
This is an NIH cooperative agreement using the U54 mechanism. Cooperative agreements typically involve substantial NIH program staff involvement in overseeing progress and coordinating with related NIH-funded efforts.
How many awards were anticipated?
The FOA anticipated a single award (ExpectedAwards: 1).
What is the estimated funding level and the award ceiling?
The FOA lists an estimated total funding level of about $5,000,000 and an award ceiling of $3,000,000.
Is cost sharing or matching required?
No. The FOA states there is no cost sharing or matching requirement listed.
When was the opportunity posted and when did it close?
The FOA was posted on December 4, 2013. The original/current closing date was March 19, 2014, and the archive date was April 19, 2014.
Who is eligible to apply?
Eligibility is broad across U.S.-based organizations, including public and private institutions of higher education, nonprofits (with or without 501(c)(3) status), for-profit entities (including small businesses and other for-profits), state and local governments, tribal governments and tribal organizations, and designated mission-serving institutions such as HBCUs and Hispanic-serving institutions.
Are foreign (non-U.S.) institutions eligible to apply directly?
No. Non-U.S. (foreign) institutions are not eligible to apply directly for this opportunity.
Can foreign components be included in an application?
Yes. Foreign components are allowable under NIH policy as part of an application when justified. In addition, non-domestic components of U.S. organizations may apply.
How does this DCIC relate to other NIH solicitations mentioned?
The FOA is positioned as part of a larger ecosystem that includes RFA-RM-13-013 (LINCS data and signature generation efforts) and RFA-HG-13-009 (BD2K Centers of Excellence). The DCIC is intended to serve as connective tissue among LINCS producers and BD2K best practices while delivering integrated, well-annotated, well-linked resources to the community.
What is the overarching goal of the DCIC within the LINCS and BD2K ecosystem?
The goal is to make LINCS perturbation-response data and signatures broadly usable by standardizing and integrating outputs from multiple producers, improving annotation and interpretability, enabling cross-database discovery and analysis, linking to external resources, and ensuring community-facing dissemination and training.
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| Ruth L. Kirschstein National Research Service Award (NRSA) Institutional Research Training Grant (Parent T32) Apply for PA 14 015 Funding Number: PA 14 015 Agency: National Institutes of Health Category: Education Environment Food and Nutrition Health Income Security and Social Services Funding Amount: Case Dependent |
| Administrative Supplements for Research on Sex/Gender Differences (Admin Supp) Apply for PA 14 027 Funding Number: PA 14 027 Agency: National Institutes of Health Category: Education Environment Food and Nutrition Health Income Security and Social Services Funding Amount: Case Dependent |
| NIH Pathway to Independence Award (Parent K99/R00) Apply for PA 14 042 Funding Number: PA 14 042 Agency: National Institutes of Health Category: Education Environment Food and Nutrition Health Income Security and Social Services Funding Amount: Case Dependent |
| Mentored Clinical Scientist Research Career Development Award (Parent K08) Apply for PA 14 046 Funding Number: PA 14 046 Agency: National Institutes of Health Category: Education Environment Food and Nutrition Health Income Security and Social Services Funding Amount: Case Dependent |
| Midcareer Investigator Award in Patient Oriented Research (Parent K24) Apply for PA 14 047 Funding Number: PA 14 047 Agency: National Institutes of Health Category: Education Environment Food and Nutrition Health Income Security and Social Services Funding Amount: Case Dependent |
| Mentored Quantitative Research Development Award (Parent K25) Apply for PA 14 048 Funding Number: PA 14 048 Agency: National Institutes of Health Category: Education Environment Food and Nutrition Health Income Security and Social Services Funding Amount: Case Dependent |
| Mentored Patient Oriented Research Career Development Award (Parent K23) Apply for PA 14 049 Funding Number: PA 14 049 Agency: National Institutes of Health Category: Education Environment Food and Nutrition Health Income Security and Social Services Funding Amount: Case Dependent |
| Mentored Career Development Award in Biomedical Big Data Science for Clinicians and Doctorally Prepared Scientists (K01) Apply for RFA HG 14 007 Funding Number: RFA HG 14 007 Agency: National Institutes of Health Category: Education Environment Food and Nutrition Health Income Security and Social Services Funding Amount: Case Dependent |
| Courses for Skills Development in Biomedical Big Data Science (R25) Apply for RFA HG 14 008 Funding Number: RFA HG 14 008 Agency: National Institutes of Health Category: Education Environment Food and Nutrition Health Income Security and Social Services Funding Amount: $150,000 |
| Open Educational Resources for Biomedical Big Data (R25) Apply for RFA HG 14 009 Funding Number: RFA HG 14 009 Agency: National Institutes of Health Category: Education Environment Food and Nutrition Health Income Security and Social Services Funding Amount: $200,000 |
| PHS 2014 02 Omnibus Solicitation of the NIH for Small Business Technology Transfer Grant Applications (Parent STTR R41/R42 Apply for PA 14 072 Funding Number: PA 14 072 Agency: National Institutes of Health Category: Education Environment Food and Nutrition Health Income Security and Social Services Funding Amount: Case Dependent |
| PHS 2014 02 Omnibus Solicitation of the NIH, CDC, FDA and ACF for Small Business Innovation Research Grant Applications (Parent SBIR R43/R44) Apply for PA 14 071 Funding Number: PA 14 071 Agency: National Institutes of Health Category: Education Environment Food and Nutrition Health Income Security and Social Services Funding Amount: Case Dependent |
| Change of Grantee Organization (Type 7 Parent) Apply for PA 14 078 Funding Number: PA 14 078 Agency: National Institutes of Health Category: Education Environment Food and Nutrition Health Income Security and Social Services Funding Amount: Case Dependent |
| Successor in Interest (Type 6 Parent) Apply for PA 14 079 Funding Number: PA 14 079 Agency: National Institutes of Health Category: Education Environment Food and Nutrition Health Income Security and Social Services Funding Amount: Case Dependent |
| Administrative Supplements to Existing NIH Grants and Cooperative Agreements (Parent Admin Supp) Apply for PA 14 077 Funding Number: PA 14 077 Agency: National Institutes of Health Category: Education Environment Food and Nutrition Health Income Security and Social Services Funding Amount: Case Dependent |
| Ruth L. Kirschstein National Research Service Award (NRSA) Individual Predoctoral Fellowship (Parent F31) Apply for PA 14 147 Funding Number: PA 14 147 Agency: National Institutes of Health Category: Education Environment Food and Nutrition Health Income Security and Social Services Funding Amount: Case Dependent |
| Ruth L. Kirschstein National Research Service Award (NRSA) Individual Predoctoral Fellowship to Promote Diversity in Health Related Research (Parent F31 Diversity) Apply for PA 14 148 Funding Number: PA 14 148 Agency: National Institutes of Health Category: Education Environment Food and Nutrition Health Income Security and Social Services Funding Amount: Case Dependent |
| Ruth L. Kirschstein National Research Service Award (NRSA) Individual Postdoctoral Fellowship (Parent F32) Apply for PA 14 149 Funding Number: PA 14 149 Agency: National Institutes of Health Category: Education Environment Food and Nutrition Health Income Security and Social Services Funding Amount: Case Dependent |
| Ruth L. Kirschstein National Research Service Award (NRSA) Individual Predoctoral MD/PhD or Other Dual Doctoral Degree Fellowship (Parent F30) Apply for PA 14 150 Funding Number: PA 14 150 Agency: National Institutes of Health Category: Education Environment Food and Nutrition Health Income Security and Social Services Funding Amount: Case Dependent |
| Predoctoral Training in Biomedical Big Data Science (T32) Apply for RFA HG 14 004 Funding Number: RFA HG 14 004 Agency: National Institutes of Health Category: Education Environment Food and Nutrition Health Income Security and Social Services Funding Amount: Case Dependent |
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