Presentation on the vantage6 UI. This was done as part of a demo presented at the MIE conference 2024. Answering questions in healthcare often requires combining data from different sources.However, bringing together this data raises serious privacy concerns. Moreover, centralizing the data in one place is often not legally possible due to privacy regulations.Techniques for federated analysis aim to enable researchers to do their analysis without giving them access to the raw data. It allows data-owners to stay in control while stillenabling researchers to perform their studies.vantage6[1][2] is an open-source framework for privacy preserving analysis createdby the Netherlands Comprehensive Cancer Organisation (IKNL). Conceptually, vantage6 consists of the following parts:• A (central) server that coordinates communication with clients and nodes. Theserver is in charge of processing tasks as well as handling administrative functionssuch as authentication and authorization.• One or more node(s) that have access to data and execute algorithms• Users (i.e. researchers or other applications) that request computations from thenodes via the client• Organizations that are interested in collaborating. Each user belongs to one ofthese organizations.• A Docker registry that functions as a database of algorithmsvantage6 has already been used in various projects.