2026 , Volume 31, № 4, p.105-122

The aim of this work is to develop an architecture for a digital platform to support interdisciplinary scientific research, which will overcome barriers related to incompatible data formats, fragmentation of information resources, and adherence to the principles of open science (FAIR: findable, accessible, interoperable, reusable). The proposed concept of the digital platform is based on a four layer service oriented architecture (SOA), comprising: the infrastructure layer (cloud resources, Kubernetes/JupyterHub containerization), the data integration and management layer (data lakes, metadata catalogs, ETL pipelines), the core and instrumental services layer, and the application layer (the domain specific user layer). Implementation leverages OGC standards (WPS, WMS), the OAuth 2.0 protocol, as well as visualization tools and service builders for working with both relational and spatial data. A digital platform has been developed and deployed, including a catalog of data and structural specifications, service builders for input, editing, display, and visualization of spatial data, along with components for importing relational data and analyzing file based data using NextCloud and JupyterHub. The platform ensures component interoperability, standardization of service creation processes, and infrastructure scalability. Over 200 services and five geoportals have been deployed on its basis. The proposed solution reduces barriers to interdisciplinary collaboration by standardizing data collection, storage, and processing. The architecture’s flexibility, in collaboration with the use of data models, inheritance mechanisms, and containerization, enables component reuse and supports the full lifecycle of scientific data in accordance with the principles of FAIR and open science.