Provenance generated by different workflow systems is generally expressed using different
formats. This is not an issue when scientists analyze provenance graphs in isolation, or …

While many scientific workflow systems track and record data provenance, few tools have
been developed that provide convenient and effective ways to access and explore this …

Many scientific workflow systems record provenance information in the form of data and
process dependencies as part of workflow execution. Users often wish to explore these …

The provenance of a data product contains information about how the product was derived,
and is crucial for enabling scientists to easily understand, reproduce, and verify scientific …

Running scientific workflows in distributed and heterogeneous environments has been
motivating the definition of provenance gathering approaches that are loosely coupled to …

Provenance graphs generated from real-world scientific workflows often contain large
numbers of nodes and edges denoting various types of provenance information. A standard …

Provenance traces history within workflows and enables researchers to validate and
compare their results. Currently, modelling provenance in ProvONE is an arduous task and …

Running scientific workflows in distributed environments is motivating the definition of
provenance gathering approaches that are loosely coupled to the workflow execution …

Provenance graphs capture flow and dependency information recorded during scientific
workflow runs, which can be used subsequently to interpret, validate, and debug workflow …

Running scientific workflows in distributed and heterogeneous environments has been a
motivating approach for provenance management, which is loosely coupled to the workflow …