Optimising cohort data in Europe

Component

Resource and resource type

Capability

Federated analysis and data integration structures: Dialogues between developers of systems and end users

Transferability capability (integration): − Implementing a dialogue between software developers and end users for knowledge translation (i.e. the assumptions of federated software that can be directly translated in user-friendly methodological solutions). Combinative capabilities: − Constructing an inventory of what tools are available and what training needs should be met. Transferability capabilities (integration): − Linking methodologies for federated infrastructures to other infrastructure types. Aggregation capability (integration): − Linking methodologies for federated Appropriability capabilities (integration): − Crediting knowledge owners and facilitate knowledge exchange (e.g. creating data lakes for a secure hub of private data). Sequencing (knowledge integration mechanisms): Adapting queries to specificity levels. Routines (knowledge integration mechanisms): − Relying on existing standard analytical tools, and good for data assembly. Combinative capabilities and aggregation capabilities (integration): − Converting local approaches to datasets database setters have into wider directives for queries arrangements.

Federated analysis: a tangible but heterogeneous resource: a specialised resource Includes barriers to entry

Federated analysis and data integration structures: Sustainability and training

Researchers' training: a specialised tangible resource.

Hybrid queries structure for databases

Federated data discovery ecosystem: a versatile tangible resource