Provenance in the context of workflows, both for the data they derive and for their
specification, is an essential component to allow for result reproducibility, sharing, and …

In many data-driven applications, analysis needs to be performed on scientific information
obtained from several sources and generated by computations on distributed resources …

Provenance, ie, the origin or source of something, is becoming an important concern, since it
offers the means to verify data products, to infer their quality, to analyse the processes that …

A large class of applications need to execute the same workflow on different datasets of
identical size. Efficient execution of such applications necessitates intelligent distribution of …

The provenance of data has recently been recognized as central tothe trust one places in
data. It is also important to annotation, todata integration and to probabilistic databases …

Workflows offer a powerful way to describe and deploy applications on grid infrastructures.
Many workflow management systems have been proposed but there is still a lack of a …

Business workflow management and business process modeling are mature research
areas, whose roots go far back to the early days of office automation systems. Scientific …

Curated databases are databases that are populated and updated with a great deal of
human effort. Most reference works that one traditionally found on the reference shelves of …

Workflow systems have become increasingly popular for managing experiments where
many bioinformatics tasks are chained together. Due to the large amount of data generated …

This paper presents HyperFlow: a model of computation, programming approach and
enactment engine for scientific workflows. Workflow programming in HyperFlow combines a …