The HEDIMED Public platform is a GDPR-compliant analytics platform for sensitive cohort data, that works in conjunction with the HEDIMED research platform. The platform aims to include visualizations, interactive graphs, correlation between different factors, risk factors showcasing, dissemination of scientific articles, and educational Materials to facilitate researchers and scientists by offering open access. It offers a secure cloud environment offering virtual machines, data virtualization, and analytics access through Jupyter notebooks, RStudio, and SSH-gated interfaces while combining physical data isolation with virtual data access layers, using tools like PostgreSQL, Docker, and Teiid. This innovation rectifies the current lack of standardization in the industry and offers APIs, cohort data storage, and built-in user management.
Features
- GDPR-compliant
- Cohort-integrated exposome-health analytics environments.
- Support for federated cohort data Reproducibility of analysis via virtualized scripts and datasets
- Clear IP and result export pathways
Examples:
Visualizing publications data: Land Cover of Early-Life Environment Modulates the Risk of Type 1 Diabetes
Visualizing data set: Type 1 Diabetes – global estimates of incident and prevalent cases in children and adults
Data visualization: Global Prevalence of Celiac Disease
Instructions
A) The instructions on how to upload data on the public toolbox will be disseminated through the Research platform since the public data are being loaded from there.
B) Access to the dashboards is available by clicking on the corresponding links.