Large-scale European-wide digital libraries with innovative access services that support communities of practice in the creation, interpretation, and use of cultural and scientific content, including multi-format and multi-source digital objects.

They should be combined with robust and scalable environments which include semantic-based search capabilities and essential digital preservation features.

Particular attention is given to cost-effective digitisation processes and to the use of digital resources in multilingual and multidisciplinary contexts.

Longer term

Radically new approaches to digital preservation, such as those inspired by human capacity to deal with information and knowledge, exploring exploring the potential of advanced ICT to automatically act on high volumes and dynamic and volatile digital content guaranteeing its preservation, keeping track of its evolving semantics and usage context and safeguarding its integrity, authenticity and long term accessibility over time.

Responsive environments for technology-enhanced learning that motivate, engage and inspire learners, and which can be embedded in the business processes and human resources management systems of organisations. They support the transformation of learning outcomes into permanent and valuable knowledge assets.

Focus is on the mass-individualisation of learning experiences with ICT (contextualised and adaptable to age, situations, culture, and learning abilities), through pedagogically-inspired solutions for competency, skills and performance enhancement.

Activities integrate pedagogical and organisational approaches and exploit, where relevant, interactivity, collaboration and context-awareness.

Interdisciplinary research should deliver a convincing and theoretically sound body of evidence as to which approaches are effective and under which circumstances.

Longer term

Adaptive and intuitive learning systems, able to learn and configure themselves according to their understanding and experience of learners' behaviour.

Cross-disciplinary research on the synergies between learning and cognition in humans and machines should lead to systems able to identify learner's requirements, intelligently monitoring progress, capable of exploiting learners' abilities in order to let them learn better, and able to give purposeful and meaningful advice to both learners and teachers either for self-learning or for learning in a collaborative environment.