Skip to main navigation Skip to search Skip to main content

Personal Data Ecosystems in Decentralised Clinical Trials

  • Helen Oliver
  • , Mohamed Ragab Moawad Mohamed
  • , Mohammad Bahrani
  • , Alex Alexandra Poulovassilis
  • , Thanassis Tiropanis
  • , Adriane Chapman
  • , George Roussos
  • University of Southampton
  • Birkbeck University of London

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The organisation-centric model of data management arguably constrains portability, transparency, and individual agency, limitations that are particularly acute in health research. This paper explores Personal Data Ecosystems (PDEs) as an alternative, specifically within the context of participant discovery for decentralised clinical trials. Building on the ESPRESSO framework for Efficient Search over Personal Repositories – Secure and Sovereign, we explore a decentralised search mechanism that employs Personal Online Datastores (PODs) to facilitate data aggregation and selective sharing, thereby enforcing differential visibility and fine-grained access control. We discuss the performance of this system in the context of privacy-preserving keyword queries across metropolitan-scale cohorts, aiming to merge authoritative centralised records with POD-based streams derived from user-provided wearable and …
Original languageEnglish
Title of host publication2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
PublisherIEEE
Pages1-6
ISBN (Electronic)9798331576158
ISBN (Print)9798331576165
DOIs
Publication statusPublished (VoR) - 2 Jul 2026

Fingerprint

Dive into the research topics of 'Personal Data Ecosystems in Decentralised Clinical Trials'. Together they form a unique fingerprint.

Cite this