A framework for building modern infrastructures for structured, standardised, and FAIR research data

Developing software that improves the quality and management of research data

Our primary goal is to build software solutions that help:

Research groups and institutions create and manage high-quality, structured, modern, standardised, and FAIR (Findable, Accessible, Interoperable, and Reusable) research data.
Individual researchers to find and (re-)use data more easily for their own research.
To reduce the time from data generation to eventual scientific dissemination by focusing on streamlining and automating the data ingestion, processing, storage, and management processes.

See our roadmap for more details on specifics of the software we are building.

A value-based and principle-driven software development initiative

In the Seedcase Project, we don’t just develop software. We also build a culture strongly centered on values and principles. We’re dedicated to open science and open source, and we incorporate this dedication in nearly all aspects of our work. All of our values and principles are described on our design website.

We believe that by developing open-source software aimed firmly at solving real and difficult problems in health research, we can improve the quality of research data and ultimately improve health research.

See our Roadmap or our About page for more information about the project.

Goals

The Seedcase Project is more than software: It is also about education, awareness, and the code itself.

Develop open-source software for health data

Software that is open-source and targeted to diverse users, like health research organizations and small-to-medium sized companies.

Create beginner-friendly documentation

Software is nothing without documentation. We strive to create documentation that is beginner-friendly, easy to understand, and as accessible as possible.