An efficient and secure IT platform
In order to collect and process the increasingly massive cohort data, in complete confidentiality and without risk of dissemination, the France Cohortes information system is hosted at the Centre Informatique National de l'Enseignement Supérieur in Montpellier, France.
The information system meets two fundamental and structuring principles for the cohorts and users in general:
- The data processed and analysed remain confidential. They cannot be disseminated.
- The user has access to a unique working environment thanks to a personal user profile that allows him/her to access different tools adapted to his/her needs.
The information system is intended to replace the information systems in place in each cohort.
Security and confidentiality
- Data collection is systematically associated with the information note and the informed consent signed by the participants, in compliance with the personal data protection regulation (PDRG) and the rights of participants in human health research projects.
- Data processing is carried out in secure areas which users access through secure double authentication.
- Source data can be viewed if users are authorised, but can never be downloaded or exported to personal desktops.
- The exported data results are subject to file verification by France Cohortes.
- The data made available in open data cannot be used to identify participants.
- Finally, the information system is certified as a health data host (HDS) and approved for the security standards of the national health data system (SNDS).
A unique working environment
France Cohortes makes available to cohort users a unique working environment for the collection and processing of cohort data.
An access portal provides access, according to the user's profile, to data collection and/or processing tools, and offers the possibility of exchanging information between team members.
Available software
- Microsoft Office 2019
- Chrome
- Firefox
- Latex
- 7-Zip
- Notepad++
- Adobe Acrobat Reader DC
- DataGrip
- Client Qlik Sense
- Client SAS Enterprise Guide
- Informatica IDQ
- Informatica TDM/PDM
- Informatica MDM
- EpiFile
- JupyterHub
- JypyterLab
- Python
- Julia
- R
- Pandas
- Numpy
- Scipy
- Matplotlib
- Tensorflow
- Tensorflow_text
- Transformers
