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Remote Laboratory Management: Respiratory Virus Diagnostics
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epiDonate - distributed serverless data infrastructure for epidemiological studies.

Jonas S Almeida1, Bhaumik Patel1, Daniel E Russ1

  • 1National Cancer Institute, Division of Cancer Epidemiology Genetics (DCEG) Rockville, Maryland, USA.

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PubMed
Summary
This summary is machine-generated.

epiDonate is a novel web service designed for epidemiological studies. It addresses data complexity and privacy concerns using a serverless architecture, enabling secure data donation and cross-study participant registration.

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Area of Science:

  • Epidemiology
  • Health Informatics
  • Data Science

Background:

  • Epidemiological studies require robust data infrastructure to handle complex data types.
  • Participant privacy and data governance are paramount concerns in modern research.
  • Future needs include cross-registration of participants across multiple studies.

Purpose of the Study:

  • To develop a portable web service, epiDonate, for secure and flexible data donation in epidemiological research.
  • To address challenges of data complexity, privacy, and cross-study participant management.

Main Methods:

  • Developed using a serverless Function-as-a-Service (FaaS) model with a Node.js implementation.
  • Employs a simple tokenization scheme via a public API for role distinction (admin/participant).
  • Features extensible permission configurations with a read/write structure and no server-side business logic.

Main Results:

  • epiDonate provides a secure and adaptable platform for epidemiological data management.
  • The serverless design simplifies deployment and reduces the need for custom virtual machines.
  • Enables an ecosystem of multiple web applications to interact with data donation deployments.

Conclusions:

  • epiDonate offers a scalable and privacy-conscious solution for epidemiological data sharing.
  • Its flexible architecture supports diverse research needs and facilitates participant data management across studies.
  • The platform promotes efficient data governance while accommodating complex data types.