Notice ID 75N95022R00056
Related Notice NOI75N95022R00056
- Background and Objective
The NCATS Secure Scientific Platform Environment (the “Environment”) is a specialized cloudbased data aggregation and analytics enclave sponsored by the National Center for Advancing Translational Sciences (NCATS) that can integrate, manage, secure, and analyze any kind of scientific data, and provide secure, controlled access to internal and external collaborators.
Within the Environment, multiple institutes and centers (ICs) of the National Institutes of Health (NIH), Federal agencies, and Federal task forces integrate, manage, secure, and analyze all types of scientific data using dedicated platforms, and, equally importantly, make that data available in specific and controlled collaborations with each other and with external collaborators such as research hospitals, academic institutions, and industry stakeholders. The Environment is established through an indefinite delivery, indefinite quantity contract, with task orders issued to support the requirements of individual groups.
The Environment is a data aggregation and analytics asset established and administered by NCATS through the use of contractor support.
- 1.Independently and not as an agent of the Government, the Contractor shall furnish all the necessary services, qualified personnel, material, equipment, and facilities, not otherwise provided by the Government, as needed to perform the following.
- 2.In accordance with the software requirements described below, the Contract shall provide the following:
- 2.1. The base NCATS Secure Scientific Platforms Environment;
- 2.2. Professional services as needed to support these requirements;
- 2.3. Cloud hosting to support these requirements.
- 3. Software Requirements
- 3.1. A commercial software solution deployable on day one of the project that can be configured within expedited timelines.
- 3.2. An open data architecture, where data always remains under the full control of NCATS and other data owners and can be easily exported in open, nonproprietary data formats via open APIs. The software should be built on an open, distributed microservices architecture with well-documented REST APIs and out-of-the-box connectors that are designed to seamlessly interface with other systems, adapt to meet evolving needs, and avoid system lock-in.
- 3.3. Proven multi-modal data integration capabilities, including the ability to rapidly ingest electronic health/medical record (EHR/EMR) data (including OMOP, TriNetX, ACT, PCORnet, etc.), pathology samples and assay data, unprocessed high-throughput drug screening (HTS) outputs, genomic data (including bulk RNA-seq, scRNA-seq, CITEseq, TCRseq, ChIPseq, Microarray, etc.), imaging data (e.g., MRIs), mass spectrometry, flow cytometry, and other data types used in basic and translational biosciences research and public health, such as administrative, financial, and grants data (e.g., nVision, IMPAC II, I2E, myDCEG, ARS, NIDB, PubMed), and supply chain data. Backed by configurable and interoperable data quality checks and a Git repository for data pipelining.
- 3.4. A multi-tenant secure enclave backed by configurable governance and access policies. Ability to host multiple individual tenants, with subsets of data shareable with different parties in the model as desired and in accordance with access controls. Access to a single view of multi-modal data based on user group and/or role…