TranSMART
tranSMART is an open-source data warehouse designed to store large amounts of clinical data from clinical trials, as well as data from basic research, so that it can be interrogated together for translational research. It is also designed to be used by many people, across organizations. It was developed by Johnson & Johnson, in partnership with Recombinant Data Corporation. The platform was released in Jan 2012 and has been governed by the tranSMART Foundation since its initiation in 2013. In May 2017, the tranSMART Foundation merged with the i2b2 Foundation to create an organization with the key mission to advance the field of precision medicine.
The tranSMART platform has been adopted and evaluated by numerous pharmaceutical companies, not-for-profits and patient advocacy groups, academics, governmental organisations and service providers. At the Bio-IT World industry conference both the Innovative Medicines Initiative's U-BIOPRED project and The Michael J. Fox Foundation were awarded a Best Practices Award for their application of the platform.
tranSMART is built on top of the i2b2 clinical data warehouse and leverages the i2b2 star schema for modelling clinical and low-dimensional data. High-dimensional omics data is stored in dedicated tables where each of the data types retains its specific data structure. Both the Oracle and PostgreSQL database management systems are supported for its data storage.
tranSMART 17.1
Development project
Researchers reported missing functionalities in the earlier versions of tranSMART, which restricted the capabilities of the tool and opportunities for research. In response, tranSMART Foundation brought together four leading pharmaceutical companies – Pfizer, Sanofi, Abbvie and Roche – together in October 2016 to help sponsor a joint project to develop the new functionality in a coherent way and improve tranSMART. The Hyve BV was the IT company responsible for the execution of the tranSMART 17.1 development project.Improvements of tranSMART version 17.1
The focus of the sponsors was to add three main functionalities:- Cross-study and ontology term support.
- Support for modeling time series and sample data, to allow the storage of longitudinal and EHR data.
- Creating the connection between tranSMART and Arvados, to support large data storage and analysis.
Functional improvements of the 17.1 version include the support for time series, samples, and cross-study concepts. This is accomplished by re-alignment with the i2b2 data model, on top of which tranSMART was built, extended with the features which make tranSMART unique: the organization in studies, the support for modelling clinical trial event grouping and high dimensional data support. Technical improvements include automated-test coverage for all Core API and REST API calls and documentation of those calls and the full database schema.