The RDMP (Research Data Management Platform) is a large software suite developed within HIC over more than 3 years which :


* Automates the loading, storage, linkage and provision of data sets within a Safe Haven for research projects.

* Cleans, transforms and documents provenance meta-data and domain knowledge to make data sets “research ready”.

* Supports key challenges in academic research such as reproducibility, anonymisation, data history, security and audit.

* Allows rapid and reproducible study cohort identification and linkage across data sets.


The RDMP allows HIC to provide pre-selected, research-ready data more accurately and rapidly, with improved meta-data. Development of the RDMP is ongoing to further expand its support for new data types such as images and genomic data.

The RDMP has been written in an extensible manner such that it could be used by any research data provision / safe haven service. We are currently looking for academic/technical collaborators from other institutions that provide a similar service and may benefit from this software.

The RDMP source code has been made publically available on under the GNU General Public License v3.0.

Our research paper (The research data management platform (RDMP): A novel, process driven, open-source tool for the management of longitudinal cohorts of clinical data) describing the system can be found at: 

The base repository, including introductory documentation, is:

Walkthrough of the RDMP software video: 

RDMP.Dicom Demonstration video: 

User Manual documentation can be found at:

Contact us with any queries regarding the software, current projects and the roadmap.