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Data infrastructure

Enabling health research through an efficient data infrastructure

A more efficient data infrastructure is a key stepping stone for improving health research in Europe. Projects related to such an infrastructure have to meet a wide range of needs, over a longer period. The needs include collection, storage, analysis, and archiving of data generated during biomedical research projects, as well as implementation of new technologies such as Artificial Intelligence, wearable devices, and federated analysis (e.g. “Personal Health Train”). Development is often beyond the capabilities of any single party.

Lygature offers experience in supporting multi-center projects in this domain with a focus on data stewardship across clinical, imaging, biobanking, and experimental (any-omics) domains. We typically avoid major software development projects in favor of adapting proven technologies to specific research needs. The goal is to ensure faster implementation times and more dependable results.

Portfolio

BBMRI.nl

A project that gives pan-European access to human samples, data and images.
Goal: Driving improvements to personalized medicine & health research.
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Health-RI

A national health research infrastructure for optimal access to knowledge, tools, facilities, health data and samples.
Goal: To enable sustainable and affordable personalized medicine and health.
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Personal Health Train

The Personal Health Train (PHT) is designed to enable health care professionals, innovators and researchers to work with health data from various sources.
Goal: To enables responsible access to data, while ensuring privacy protection and optimal engagement of individual patients and citizens.
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MOMENTUM

A cross-atlantic collaboration developing a registry for tracking outcomes of combining imaging and treatment of common cancer types.
Goal: to accelerate the technical and clinical development of MR-guided radiation therapy.
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ReSToRe

A Horizon 2020-funded European consortium that aims to improve the clinical outcome of multiple sclerosis. 
Goal: To develop antigen-specific therapies for multiple sclerosis.
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Translational Research IT (TraIT) project

A data infrastructure that already supports >400 projects and >4000 users, now moving into Europe, now transitioning into Health-RI.
Goal: To facilitate effective data management across complex translational research projects.
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Parelsnoer Institute (Completed)

An efficient infrastructure and harmonized procedures for multicenter clinical biobanks.
Goal: To facilitate high quality multicenter biobank research and improve patient care.
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