Wf4Ever addresses some of the biggest challenges for the preservation of scientific workflows in data intensive science including: (a) the consideration of complex digital objects that comprise both their static and dynamic aspects including workflow models the provenance of their executions and interconnections between workflows and related resources (b) the provision of access manipulation sharing reuse and evolution functions to these complex digital objects (c) integral lifecycle management functions for workflows and their associated materials. To address these challenges the Wf4Ever project will investigate and develop technological infrastructure for the preservation and efficient retrieval and reuse of scientific workflows in a range of disciplines. In particular Wf4Ever will enable:* The creation and management of complex Research Objects that take into account the dual nature (static and dynamic) of scientific workflows.* The archival classification and indexing of scientific workflows and their associated materials in scalable semantic repositories providing advanced access and recommendation capabilities.* The creation of scientific communities to collaboratively share reuse and evolve workflows and their parts stimulating the development of new scientific knowledge.Wf4Ever brings significant new functionality to scientists enabling them to take a step forward in the preservation of scientific knowledge by introducing the novel concept of workflow-related Research Objects which acknowledges the central role of workflows in e-science and their relevance for scientific preservation. We address the preservation requirements of scientific data by considering workflows as live entities which as they evolve need to be kept consistent with respect to research materials many of them beyond the control of the originating scientists. The main tangible outcomes of the project will be:* A software architecture for the design and implementation of scientific workflow preservation systems.* A reference implementation instantiating the architecture in and enabling the preservation and efficient retrieval of scientific workflows across a range of domains.* A new Research Object model for the description of scientific workflows and related materials.* New techniques and tools for workflow decay analysis abstraction and comparison.* New techniques and tools for Research Object evolution personalized recommendations and collaboration between scientists.* New techniques and tools for integrity and authenticity management based on provenance models of workflow-related Research Objects.* The application of our results and technology to two workflow-intensive scientific use cases in the areas of Astronomy and Genomics.Wf4Ever will combine adapt and extend existing results obtained by project partners (iSOCO University of Manchester Universidad Polit¨«¨«cnica de Madrid Poznan Supercomputing and Networking Center University of Oxford Instituto de Astrof¨«¨«sica de Andaluc¨«¨«a and Leiden University Medical Centre) in the areas of Scientific Workflow Management Digital Libraries Social Networks and Semantic Web. The combined application of techniques from such areas and their integration as a workflow preservation software system is crucial to ensure the long-term preservation of scientific workflows guaranteeing their integrity and authenticity and supporting collaboration and reuse by the scientific communities. Wf4Ever results will be evaluated in real-world applications by tackling complex problems in the scientific domains of Astronomy and Genomics including the preservation and management of scientific workflows from their very inception and the collaborative access and reuse by the scientific community to previously archived workflows. By carefully choosing these two applications Wf4Ever aims to stimulate both the creation of methods and tools for the preservation of scientific data and the application of such advances in very relevant scientific domains.

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European Commission (FP7)