The NCPI program is a partnership between multiple NIH-supported participating systems (currently AnVIL, BioData Catalyst, CRDC, dbGaP, and Kids First) developing and implementing technical standards to enable interoperability and facilitate a federated data ecosystem.
The purpose of this page is two fold:
- Provide links to the technical products that underlie interoperability, These tools/resources/services are outlined in the Interoperability Resources Table.
- Provide information regarding the NCPI program more broadly
- The About repository provides an overview of the NCPI program and its components.
- The Partners repository provides details on the NCPI partner systems.
- The Projects repository provides an overview of ongoing and past interoperability projects.
- The Resources repository provides various interoperability resources inlcuding information about key NCPI standards such as Researcher Auth Service, Data Repository Service, and FHIR.
The following table provides a quick overview of the interoperability focused tools/resources/services that underlie NCPI.
Repository |
Description |
|---|---|
| NCPI FHIR Implementation Guide 2 | Relaunch of the IG project with a clearer focus, an explicit style guide using the current tools including Sushi v3. |
| FHIR Aggregator | An open-access tool for finding and downloading biomedical data from across the NIH developed by Interoperability Project: Connecting FHIR, the CDA, and DRS Across NIH Cloud Resources. |
| NCPI FHIR Shiny Browser | Example R Shiny applications and supporting functions that allow browsing and parsing FHIR objects. |
| Locutus | Backend for a web-based terminology mapping tool aimed at harmonizing dataset terms with public ontologies such as MeSH, HPO, and others. |
| NCPI FHIR Client | Basic FHIR client with built-in modular authentication. |
| HAPI Dev | Helper to launch a local FHIR server that persists using local storage and has some pre-defined defaults built in. |
| NCPI Whistler | Pipeline to transform research data tables into FHIR resources and load them into a FHIR Server using Python scripting, Whistle, and the FHIR Rest API. |
| NCPI Whistler Tutorial | Step-by-step guide for creating a project to transform research data into FHIR resources and optionally load them into a FHIR server. |
| Dockerized Whistle | Docker image for a fully functional whistle application with a shell script for easy execution. |
| map-dragon. | This application will support several user groups in submitting and validating their data, managing and tracking data definitions, and aligning data to standardized terms. |
