Report outlines composability strategies for integrated systems across five science domains, indicating future engagement opportunities.
Composability refers to the capacity to combine (or “compose”) modular digital components or services into more complex integrated systems. In a composable system each component is designed to function independently but can be easily assembled or reconfigured with others to create new (data) workflows or applications. The aim of D2.2 Service Composability Report is to describe the service the strategies used to compose services within each of the five Science Clusters in the domains of Astronomy and Particle Physics, Environmental Science, Life Science, Photon and Neutron Science and Social Sciences and Humanities. Composability refers to the ability to combine and integrate smaller, modular components or services into more complex systems. In a composable system, each component is designed to function independently but can be easily assembled or reconfigured with others to create new workflows or applications. Building on the services identified in D2.1 Clusters’ Services and Data Sources Portfolios, D2.2 provides an overview of the services which have been selected for “composition”, including the upgrading of those services as required. The activities outlined in this report contribute to the implementation of the various Composable Open Data and Analysis Services (CODAS) which will result in 1-2 Composability Demonstrators per cluster within the context of EOSC. The development of cross-domain demonstrators is also being explored. Additionally, these cluster demonstrators highlight the benefits of service composability and can be used as a method for engaging researchers. They are intended to document community best practice and offer starting points or inspiration for future work. They will form a basis for the engagement workshops being organised by the Clusters to demonstrate the benefits of service and data composability to a wide variety of research communities, as part of the Engagement Plan (MS10).
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Millar et al. (2026) studied this question.
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