Sentilect, LLC is a small Information Technology consulting firm headquartered in Gaithersburg, MD. We create intelligent IT solutions that rely on multidimensional data processing to solve complex problems and enable better decision-making for government and non-government institutions.
Professional IT consultants with extensive industry experience delivering high-quality business and technical support. We are committed to success and dedicated to providing an outstanding level of customer service.
Empower organizations with intelligent technology allowing them to solve complex problems and conduct their business more efficiently.
Collaborate with stakeholders and apply IT industry best practices to create robust solutions, that enable effective decision-making, advance operational efficiency and increase customer satisfaction.
Based on MS SharePoint 2013 platform, Co-Funding Portal allows NIH Institutes and Centers (ICs) to apply for supplemental funding for ongoing research from OD to support NIH’s strategic research areas. The tool’s electronic forms and specialized workflows provide ability to create, review, approve, authorize and fund Co-Funding requests for a variety of programs available under multiple DPCPSI offices. A centralized dashboard allows DPCPSI office managers to keep track of all existing Co-Funding requests, view request status and drill down to a specific request to perform additional actions, such as assigning review analysts, making funding decisions or electronically signing funding authorizations. The system interfaces with NIH’s NED and IMPACII databases to provide up-to-date information available on Grants, Contracts, IAA’s, obligations and NIH employee data.
Sentilect staff facilitates implementation of the federally-mandated annual Trans-NIH Collaboration report using existing Manual Categorization System (MCS) infrastructure developed by the NIH, OD, Office of Extramural Research (OER), electronic Research Administration (eRA) project team. The report consolidates Agency’s data on collaboration activities between multiple Institutes and Centers (ICs) including OD. The system produces a list of Grants, Contracts, Intramural programs, and Inter-Agency Agreements (IAAs) and details financial contributions of each participating IC. The report is based on the Agency’s enterprise data sourced from the IMPACII database. A set of stringent business rules and selection criteria control which projects are included in the report. IC budget and program staff log into the Trans-NIH Collaboration module within MCS to validate the final report before it is officially published.
Sentilect personnel is involved in providing Requirements Definition and Quality Assurance services for FOAM 2.0 implementation. The project delivers an automated system for collaboration and development of Funding Opportunity Announcements (FOAs). The functionality assists with communication between Financial Management Branch (FMB), Grants Management Branch (GMB), Program, Office of Scientific Review (OSR) and other IC Management offices as well as the NIH Office of Extramural Programs (OEP) in order to provide approvals needed to get the FOA published. The module provides an expanded NIH grants management system supported by eRA that meets all of IC needs. With FOAM 2.0 implementation, NIH eRA furthers its product offering to Health and Human Services (HHS), Association of Children and Family (ACF) and Center for Disease Control (CDC).
Sentilect provides Data Analytics, Requirements Management, Quality Assurance and Documentation support services for R-BET project. At the end of each Fiscal Year, NIH, OD, Office of Extramural Research (OER), Research, Condition and Disease Categorization (RCDC) program generates NIH-wide end-of-year report, which classifies NIH’s financial investments in research grants, extramural R&D Contracts, intramural projects, inter-agency agreements (IAAs) and intradepartmental delegations of authority (IDDAs), as well as other funding mechanisms into about 300 disease categories. R-BET consumes project-level data from RCDC and uses this data to generate estimates for the upcoming years. R-BET is one of the primary budget planning and estimation tools, which allows to model the agency’s future dollar distribution across NIH ICs, disease categories, programs, and mechanisms depending on organization’s goals, strategic plan, and objectives.