Fundamental research in the project is concentrated on: Data management, Data analytics, Data visualisation, Data access and usage, etc., and has the following goals:

• creating new models, methods and tools for improved use, research and delivery of digital knowledge and collections related to the cultural heritage for, inter alia:
  o    analysis, understanding and interpretation of the content of a digital culture ecosystem;
  o    context-dependent use of digital resources in a digital culture ecosystem (for training purposes);
• a methodology and concepts for increase and generalisation of visitor experience in the digital culture ecosystem; contextual techniques for personalising visitor experience in а digital culture ecosystem;
• building a conceptual model of a multifunctional digital culture ecosystem based on the latest concepts, approaches and solutions in the area;
• modeling tools for interoperability and information management between different digital ecosystem in the field of cultural and historical heritage, including a common model and methods for data exchange, a structural model of the data store;
• creating a pro-innovative model for efficient use and continuing development of the digital culture ecosystem.

     It is a key assumption that improved use, research and delivery of knowledge and collections related to cultural and historical heritage and the overall structuring of a digital culture ecosystem software environment by a referential model will help addressing some of the problems with handling large volumes of digital cultural data and objects, as well as their dynamic interaction in the system. Current problems will be overcome, such as data loss due to lack of uniform structures; lack of uniform interpretation; insufficient attractiveness of presentation; lack of unified access to many different digital repositories of cultural and historical heritage; poorly adaptive and customisable presentation of objects; difficulties in context-based use; etc. Furthermore, technology transfer to the technical and social sciences and the humanities, as well as the innovations in these areas, will be greatly encouraged.