Optimising cohort data in Europe

Component Resource and resource type

Capability

1) For federated analysis: − Aggregation capabilities (integration): Determining the degree of centralisation and the degree of anonymisation requirements. 2) For confidentiality: − Aggregation and protective capabilities (integration): Aggregating output in such ways that personal information about the data subject will remain hidden. 3) For goals and aims: − Integration capabilities and knowledge integration mechanisms (rules and directives): Application of legal tools for transferring data to other countries: − Combinative capabilities and routines for data access. − Using federated analysis for transferring and storing data within the research institution. Combinative capabilities and integrative knowledge capabilities: − Recombining existing funds so that they could be evenly distributed across groups. − Identifying networks’ trajectories and diffusion of information pathways. Rules & directives, sequencing processes and problem solving and decision-making (knowledge integration mechanisms): − Implementing social values at the policy level through funding programmes within the Chatham House framework. − Researchers generating Key Performance Indicators (KPIs) for impact monitoring. Rules and directives (knowledge integration mechanisms) and Transferability capabilities (integration): − Balancing the risks of unintended findings through a framework that would monitor good serendipity and bad serendipity (i.e. creating governance framework for unintended findings).

1) Federated analysis and approaches: Tangible, stable and specialised resource. Include entry barriers, resource immobility issues and resource heterogeneity Context of emergence: Causal ambiguity. 2) Confidentiality: a tangible? Highly specialised resource. 3) Goals and aims for governance: tangible and highly specialised resources.

Intersection domains between federated analysis and governance structure for confidentiality

Equitable sharing of research burdens and

Burdens and benefits: highly specialised, tangible and heterogeneous resources. Potentially include resource barriers (i.e. research may be benefit some groups rather than others).

research benefits (unbiased interim metrics of impact)

Context of research/Ethical and conceptual serendipity: highly versatile, intangible resources. Context of emergence: causally ambiguous and unstable.

Sustainable accountability mechanisms