Published December 14, 2022 | Version v1
Journal article Open

The e-Science Central Study Data Platform

  • 1. School of Computing, Newcastle University, Newcastle-upon-Tyne, UK Alan Turing Institute, UK
  • 2. School of Computing, Newcastle University, Newcastle-upon-Tyne, UK

Description

Abstract:

This paper describes a novel study management platform that is being used to collect, process and analyse data gathered from a large-scale pan-European digital healthcare study. The platform consists of two main components. Firstly a secure, scalable, cloud-based platform to ingest and process data uploaded from body-worn sensors, as well as from clinical evaluation forms. Features extracted from this data are then loaded into a Data Warehouse with a novel schema designed specifically for study data. This allows scientists to explore, analyse and visualise this data in a variety of different ways. A key aspect of the warehouse design is that it also stores metadata describing the types and format of the data. This enables automatic report generation, exploratory data analysis and error checking. The overall result is a flexible, general purpose system that is open-source and uses the cloud for scalability. This paper describes the design of the integrated study data platform and its use in the large Mobilise-D study that has collected and analysed both sensor and clinical data from over 3.000 participants.

Notes

This work was supported by the Mobilise-D project that has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 820820. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation program and the European Federation of Pharmaceutical Industries and Associations (EFPIA). Content in this publication reflects the authors' view and neither IMI nor the European Union, EFPIA, or any Associated Partners are responsible for any use that may be made of the information contained herein.

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Additional details

Funding

MOBILISE-D – Connecting digital mobility assessment to clinical outcomes for regulatory and clinical endorsement 820820
European Commission