The GenDiB initiative (https://gendib.wsl.ch/) develops a comprehensive database for geo- referenced data on genetic diversity for natural populations of wild species in Switzerland. So far, such datasets have been dispersed among numerous repositories, in electronic supplementary materials of scientific articles—or still rest in researchers' file drawers. Such decentralized archiving makes access to valuable datasets complicated and only partly complies with FAIR principles. To offer a data repository for the researcher and practitioner communities, we currently develop the prototype of the GenDiB database to receive, host, and make publicly available datasets on genetic diversity from Swiss populations of wild species, which will enhance the lifecycle of genetic diversity data. GenDiB is meant to provide intuitive tools for data contribution and visualization, making genetic data accessible to a wide audience. This globally unique initiative shall promote Open Research Data (ORD) practices in the community and make pertinent information available to conservation practitioners. To date, an interactive map displays metadata of the available datasets: 160+ datasets have been collected, harmonized, and their metadata (primarily geo-referenced species occurrence) transferred to the Swiss node of the Global Biodiversity Information Facility (GBIF.ch) for data integration in the Swiss Biodiversity database network InfoSpecies and will soon be publicly available. All datasets will be registered and available via the GenDiB occurrence dataset landing page at GBIF and citable with a unique DOI. Furthermore, a one-day training event for practitioners has been organized to inform them about genetic diversity data and its potential use in applied conservation projects. Together with this course, three detailed infographics on dedicated topics were developed and are now freely available online in four languages (D/F/I/E). GenDiB shall thus help to endorse communities of researchers and practitioners that adhere to ORD practices for genetic diversity data by default and apply respective information in practical conservation management. This data hub shall foster collaboration among researchers, policymakers, and conservationists, setting new standards for ORD practices in the field of scientific and practical use of data on genetic diversity.