Cancer-related Behavioral Research through Integrating Existing Data (R01) | Apply Online

Opportunity Summary:

Cancer-related Behavioral Research through Integrating Existing Data (R01) (PAR 16-256) is a National Institutes of Health grant opportunity that funds research projects aimed at answering new cancer control and prevention questions by combining existing information from multiple, independent data sets. The central idea is that many valuable cancer-relevant insights can be generated faster and more efficiently by integrating data that have already been collected in different studies or systems, rather than launching new data collection efforts. The mechanism is an R01 research project grant, which generally supports investigator-initiated, hypothesis-driven work of substantial scope.

The focus is on behavioral risk factors and behaviorally driven prevention and early detection pathways tied to cancer outcomes. Examples explicitly emphasized include tobacco use, sedentary behavior, poor weight management, and problems with medical adherence such as not completing recommended cancer screening or not obtaining vaccines (for instance, vaccine uptake relevant to cancer prevention). Applications are expected to use Integrative Data Analysis (IDA) approaches, meaning applicants should not simply place results side-by-side, but should employ methods that allow harmonization and combined analysis across studies or sources to test novel questions, improve statistical power, examine subgroup effects, and explore patterns that a single data set cannot adequately address.

A key requirement is that the proposal integrates at least two independent data sources, and those sources should be meaningfully different in origin and/or type. The FOA encourages integration across different data modalities and levels of influence, which could include combining quantitative and qualitative information, linking individual-level behavioral measures with contextual environmental or policy variables, or integrating behavioral data with biological, genetic, clinical, or administrative records. Even with these broader possibilities, at least one component must include behavioral data, keeping the emphasis squarely on behavioral science contributions to cancer prevention and control.

Another defining feature is that applicants are expected to rely on existing data rather than collect new data. The program is designed to leverage already available cohorts, surveys, clinical data sets, registries, electronic health records, community studies, or other archival resources. Within that constraint, the FOA encourages substantial methodological and measurement work that makes integration possible and scientifically credible, such as developing harmonized variables across studies, creating or refining culturally sensitive measures to improve validity across populations, and conducting replication efforts or cross-study comparisons to evaluate robustness and generalizability of findings.

Eligibility is broad and includes many types of organizations that can serve as applicants: state, county, city or township governments; special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized Native American tribal governments and other tribal organizations; public housing authorities/Indian housing authorities; nonprofit organizations with or without 501(c)(3) status (excluding higher education institutions where applicable); for-profit organizations other than small businesses; small businesses; and other applicants as allowed under NIH policy and the announcement’s additional eligibility language. The sponsoring agency is HHS through NIH (listed as HHS-NIH11), and the program is associated with CFDA numbers 93.393 (and also lists 93.393 in the source).

Administrative details in the posted record indicate the opportunity was created and posted on May 11, 2016, with a closing date of June 7, 2019 (both original and current closing date shown as the same). The listing does not provide an award ceiling or an expected number of awards in the supplied fields, which typically means applicants would need to consult the full FOA text and NIH institute/center participation details to understand budget expectations, project period norms, and paylines or funding availability.

In practical terms, competitive applications under this FOA would clearly identify the independent data sets to be integrated, justify why integration is necessary to answer the proposed cancer prevention/control question, describe rigorous plans for harmonization and analytic strategy using IDA methods, and demonstrate that the team has the expertise and permissions to access and manage the data. Strong proposals would also address issues that commonly arise in integrative work, such as differences in measurement instruments, sampling frames, timing of assessments, population diversity, missing data patterns, and potential bias introduced by combining sources. The overall intent is to generate stronger, more generalizable behavioral evidence that can inform cancer prevention, early detection, and population health strategies without the time and expense of new data collection.

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