With recent advances in omics data collection, generating very large datasets of patient omics data for health research has become common, and several data sharing platforms have emerged to allow for researchers to more effectively access broader collections of data. Lacking an existing platform in Germany, the German Human Genome-Phenome Archive (GHGA) project seeks to contribute to the advances in research possibilities by building an archive for omics data using FAIR principles as part of the federated European Genome-Phenome Archive (fEGA), and seeks to allow for data sharing across international borders whilst strictly protecting the privacy of individuals’ sensitive data. We present here the basis for the development of GHGA, as well as specific details on the standards used, the organization of the work areas, the software development workflow for both the backend and frontend, as well as the technology used in the project. We also present some of the progress already achieved, as well as provide an overview of the upcoming stages of development and our goals for the future functionality of the GHGA platform.