A framework for an open and scalable infrastructure for health data

Getting funds, finding personnel, and allocating resources to build functioning software is very difficult in research.

Seedcase aims to ease the burden of building, managing, sharing, and accessing health data by developing both user-friendly software to automate or streamline these jobs as well as beginner-friendly training material for data engineering. Our specific goals are:

  1. To create a framework for setting up an infrastructure for health data that:
    • uses modern technologies
    • scales well to both data as well as teams or organizations
    • is open source
  2. To develop the framework as installable software so that it can be used across health research organizations, small-to-medium sized companies, or research groups or teams to better connect data collectors, researchers, clinicians, and other stakeholders to created data.
  3. To improve and strengthen software and data engineering capacity within health research by developing educational and training material, as well as running workshops.
  4. To build and nurture a community around better practices in data management, data engineering, research software engineering, and reproducible and transparent research.

We believe that with these tools and knowledge, science on health and well-being can become better, ultimately helping people with people with diseases like diabetes and society in general.