The aim of this thesis is to develop an application for managing high-throughput high-volume scientific data, and it will be created in collaboration with the TESCAN company to simplify their scientific data workflows. The application will use a highly scalable distributed S3-compatible storage system capable of managing and sharing projects, samples, data, and metadata for stored objects. The first goal of the thesis is to build an intuitive and collaborative web interface for listing and filtering data, as well as to provide a working directory for third-party applications to work with the data. The second goal is to create a reverse proxy responsible for storing data on S3 servers while ensuring that the data remains Findable, Accessible, Interoperable, and Reusable (F.A.I.R.). The server-side code, written in Golang, shall not be made publicly available immediately but after a lawful period of up to three years to accommodate potential patent-related considerations