Division of Data Integration, Modeling, and Analytics

The Division of Data Integration, Modeling, and Analytics (DIMA) is NIGMS' central nexus for all data-driven discussions, decisions, and actions. DIMA serves the Institute's Director, Deputy Director, Senior Staff, Scientific Divisions, and Program Staff by providing robust, timely, accurate, and contextually appropriate data and information that aid in the efficient administration of all NIGMS programs and in the proper stewardship of taxpayer resources.

Representative activities that DIMA pursues to fulfill this critical role for the Institute include:

  • Deriving, administering, evaluating, and evolving the Institute's integrated strategic planning, organizational performance, and enterprise risk management programs;
  • Leading and serving as focal point for all Congressional and legislative outreach, engagement, communication, and evaluation (e.g., policy evaluation) activities and actions;
  • Conducting multiple types of analyses (e.g., portfolio, programmatic, descriptive, predictive) and evaluations (e.g., outcomes, process, needs-based) to inform programmatic and business process improvements and enhancements for the Institute;
  • Developing state-of-the art predictive models and analytics, including AI/Machine Learning/Natural Language Processing, to aid Institute staff and optimize day-to-day operations;
  • Identifying, facilitating, evaluating, and leveraging or administering outreach, engagements, and collaborations with other components of the NIH, HHS, and other federal agencies to promote cross-agency efforts in data curation, analysis, visualization, communication, use as well as the areas described above.

Through these activities, DIMA supports NIGMS in its efforts to promote scientific discovery, advancement, and achievement; enhance the stewardship of public resources; and excel as a federal science agency in the responsible management of scientific and organizational results on behalf of the American public and taxpayer.

Data Modeling and Analytics Branch (DMAB)

The Data Modeling and Analytics Branch serves as the locus for the construction and administration of multiple types of portfolio analyses, directed analyses, process analyses (including business process improvement and customer service enhancement efforts and functions), curation and/or generation of quantitative/highly quantitative data for program assessments and evaluations, for the construct and execution of such assessments/evaluations based on available data, and for the satisfaction of Institute data visualization needs and activities. The branch is also responsible for data modeling activities that use descriptive data as a baseline for better, more accurate predictive analytical models of program function, including programmatic finances and financial forecasting. The branch conducts cutting-edge research on the transition from predictive to prescriptive analytics, while simultaneously administering data access and data use agreements with other organizations such as other components of the NIH, other data-driven federal agencies, and/or non-government organizations.

Data Integration and Dissemination Branch (DIDB)

The Data Integration and Dissemination branch is responsible for integrating multiple types of data stemming from various sources and formatting/delivering these data for multiple uses and audiences, including non-scientific, administrative/managerial, Departmental, and/or Congressional audiences. To this end, the branch leads modification and integration of enterprise- or organizational-level (versus program- or portfolio-level), qualitative or semi-quantitative data for use in both reporting and communications activities, including venues in which traditional or highly technical or quantitative data might have to be appropriately scoped, consolidated, or interpreted to become more audience-appropriate such as for Departmental, interagency, or legislative briefings, committee meetings and hearings, appropriations testimonies, and/or legislative correspondence. To the extent that such data and information derives from the DMAB, the DIDB acts as a consolidating, cross-check/validation, and quality control point for DMAB data in administrative, management, and compliance related areas, particularly for data elements and types involving policy- versus program-level issues and those requiring enterprise- versus program-level data. The branch will thus provide appropriate context to scientific data and disseminate such appropriately-scoped data - e.g., economic impacts or returns on investment - to public officials, the general public, and public accountability organizations in readily-understandable formats and terms, including by liaising directly with other NIH communications offices as needed.​

Strategic Plans

Evaluation Reports

Analyses and Other Reports​

For more information about NIGMS data integration, modeling, and analytics, contact:

Richard Aragon, Ph.D.
Division of Data Integration, Modeling, and Analytics
National Institute of General Medical Sciences
National Institutes of Health
45 Center Drive MSC 6200
Bethesda, MD 20892-6200​
Phone: 301-827​-4345​