IDDO: FAIR, equitable and sustainable data platform for infectious diseases

Grant number: 222410/Z/21/Z

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2021
    2024
  • Known Financial Commitments (USD)

    $6,542,967.71
  • Funder

    Wellcome Trust
  • Principal Investigator

    Prof. Philippe J Guerin
  • Research Location

    United Kingdom
  • Lead Research Institution

    University of Oxford
  • Research Priority Alignment

    N/A
  • Research Category

    Health Systems Research

  • Research Subcategory

    Health information systems

  • Special Interest Tags

    Data Management and Data Sharing

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

The COVID-19 pandemic has once again exposed the lack of coordination and cooperation across the research and development efforts of the infectious disease community. A key indicator of this failing is the lack of international, interoperable data platforms to provide rapid insight into disease pathogenesis and treatment. Access to data is an important tool for accelerating evidence, product development, and scientific innovation. Enhanced technology, infrastructure and systems for data platforms will increase Findability, Accessibility, Interoperability, and Reuse (FAIR), so that science can advance in a rapid, robust and innovative way, saving lives in the affected communities. Recognising the importance and complexity of the task at hand, this project brings together the vast experience of IDDO, Vivli, and other key stakeholders to deliver a broad, effective, and sustainable data platform(s) for infectious diseases. In this project, IDDO will: Enhance its platform for improved findability, discovery, and persistence which ensures that data are available in the long-term; Optimise and accelerate its data curation capacity; Streamline and accelerate its data access workflow; Develop a business plan to secure the sustainability and success of the platform

Publicationslinked via Europe PMC

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At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods.

Lightweight transformers for clinical natural language processing.

Sex differences in post-acute neurological sequelae of SARS-CoV-2 and symptom resolution in adults after coronavirus disease 2019 hospitalization: an international multi-centre prospective observational study.

Liver injury in hospitalized patients with COVID-19: An International observational cohort study.

Major adverse cardiovascular events (MACE) in patients with severe COVID-19 registered in the ISARIC WHO clinical characterization protocol: A prospective, multinational, observational study.

Validation of extracorporeal membrane oxygenation mortality prediction and severity of illness scores in an international COVID-19 cohort.

Paediatric COVID-19 mortality: a database analysis of the impact of health resource disparity.

An international observational study to assess the impact of the Omicron variant emergence on the clinical epidemiology of COVID-19 in hospitalised patients.

Use of an extended KDIGO definition to diagnose acute kidney injury in patients with COVID-19: A multinational study using the ISARIC-WHO clinical characterisation protocol.