TOXBOX brings together a wide range of experimental approaches, data types and scientific expertise. In this context, PRESTE contributes by helping organise, standardise and connect complex projext data so that it can be shared more easily across the consortium and used more effectively for further analysis and modelling.
Making complex research data easier to use
A key challenge in collaborative research projects is that data is often generated in many different formats and by different partners. In TOXBOX, this includes outputs such as microscopic images and videos, ELISA read-outs, biomarker data, tabular data and other experimental files. PRESTE’s contribution helps bring these different data types together in a more structured and usable way.
This work supports a common goal within TOXBOX: making sure that valuable scientific results are not isolated in separate systems, but can instead be connected, reused and translated into meaningful insight. By improving how data is structured and exchanged, PRESTE helps create a stronger basis for collaboration between experimental researchers and those working on digital analysis and modelling.
A flexible platform for sharing and collaboration
To support this effort, PRESTE has developed ToxCloud, a flexible could platform for organising, sharing, storing and analysing biological experiment data. The platform is designed to support a broad variety of research data types and to provide flexible material traceability and metadata management, making it easier to cross reference partner’s work and adapt to evolving research needs.
Within TOXBOX, ToxCloud supports the FAIR-compliant data exchange and helps facilitate collaboration across the consortium. The native integration of Jupyter python analytical notebooks in the platform make experimental data easier to analyse and reuse, and strengthen the connection between wet-lab research and data-driven methods.
Looking ahead
As TOXBOX continues to progress, digital infrastructure will remain an important part of enabling efficient collaboration and meaningful data use. Future developments linked to PRESTE’s work include the development and integration of predictive models into the platform.
By helping turn diverse and complex project data into a more connected and reusable resource, PRESTE supports one of the essential foundations of TOXBOX: enabling smarter, more integrated toxicology research for safer and more sustainable innovation.