Make research data accessible and reliable through data governance
A large French pharmaceutical group wanted to make its research data more accessible, reliable, and better shared between its laboratories. The challenge was to establish robust enough data governance to support data-driven projects, improve team efficiency, and reduce costs, in a sector where knowledge sharing is particularly strategic.
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In a few figures...
7ans
R&D data history
The project aimed to group and structure a significant volume of research data accumulated over time, in order to make it more accessible to the teams.
155
Case studies documented
The approach has made it possible to better formalise practices around clinical studies and to strengthen the operational value of documentation.
4 month
implementation
The first use case was implemented in a short timeframe, demonstrating a capability to quickly establish a useful foundation for business units.
The project
Our approach
JEMS accompanied this client through three major project phases: the audit with the scoping of needs and the choice of technical solution, the build phase with the implementation of SaaS services and data industrialisation, and finally the run phase with team training. The project was carried out in partnership with DataGalaxy.
The diagnosis
In a pharmaceutical environment where data quality and accessibility directly condition research effectiveness, the client needed a more structured governance framework. The challenge was not only to centralise information but to make the data reliable, clarify business concepts, document uses, and improve knowledge sharing between teams to sustainably support R&D projects.
The key deliverables
- Needs audit and transformation scoping
- Selection of the technical data governance solution
- Implementing SaaS services
- Data industrialisation
- Structuring of business concepts and R&D universes, governance and repository
- Comprehensive system mapping with global and detailed data lineage
- Documentation of clinical trial related practices
- Linking glossary terms with usage
How can this pharmaceutical group make its accessible research data To everyone?
The benefits
More accessible research data
The governance in place facilitates access to R&D data and its sharing between laboratories.
Improved data reliability
The project explicitly aims to make data more reliable to support business use cases and decisions.
A more structured governance framework
The structuring of concepts, the repository, and the lineage provides a more solid foundation for data management.
Better documented knowledge
Documenting clinical cases and uses reinforces the circulation of information within the organisation.
More effective teams
By making data more understandable and better shared, the project contributes to team efficiency and cost reduction.
The 6-step approach
1. Define the requirements
JEMS began by auditing the existing situation, clarifying business expectations, and framing the transformation to be undertaken.
2. Choose the right technical foundation
The project included a phase of selecting the most suitable data governance solution for the client's context.
3. Implement the services
SaaS services were then deployed to lay the operational foundation for the target device.
4. Structuring data assets
Business concepts, R&D universes, the repository and lineage have been organised to make data more readable and better governed.
5. Document usage
The use cases related to clinical studies have been documented and linked to glossary terms to improve shared understanding.
6. Developing teams in the long term
The run phase allowed us to support the teams in embedding governance into their practices.
