Titan is a platform for managing all the life cycle of science workflows from deployment to execution in the context of Big Data applications, which is characterised by a design and operation mode driven by semantics at different levels: data source, problem domain and workflow component. The proposed platform is developed upon an ontologicalframework of meta-data for managing processes and models in a consistent way and taking advantage of specificknowledge domain. TITAN comprises a well-grounded stack of Big Data technologies including Apache Kafkafor inter-component communication, Avro for data serialisation and Spark for analysing data.

Core TITAN platform architecture is composed of a graphical user interface, REST API for providing corefunctionality, an orchestrator for executing the workflows, a message broker for distributing the data between the componentsand finally, a data file storage for storing the input and output data from the workflows. Titan is also a project embed into the European Infrastructure Lifewatch ERIC.

LifeWatch ERIC is a European Infrastructure Consortium providing e-Science research facilities to scientists seeking to increase our knowledge and deepen our understanding of Biodiversity organisation and Ecosystem functions and services in order to support civil society in addressing key planetary challenges.

LifeWatch ERIC seeks to understand the complex interactions between species and the environment, taking advantage of High-Performance, Grid and Big Data computing systems, and the development of advanced modelling tools to implement management measures aimed at preserving life on Earth.