Modern scientific collaborations have opened up the opportunity to solve complex problems
that require both multidisciplinary expertise and large-scale computational experiments …

A workflow-centric research object bundles a workflow, the provenance of the results
obtained by its enactment, other digital objects that are relevant for the experiment (papers …

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

Background Making forecasts about biodiversity and giving support to policy relies
increasingly on large collections of data held electronically, and on substantial …

The number of applications that need to process data continuously over long periods of time
has increased significantly over recent years. The emerging Internet of Things and Smart …

Scientific workflows are becoming increasingly popular for compute-intensive and data-
intensive scientific applications. The vision and promise of scientific workflows includes …

Data curation is critical for scientific data digitization, sharing, integration, and use. This
paper presents Kurator, a software package for automating data curation pipelines in the …

Molecular dynamics (MD) simulations must take very small (femtosecond) integration steps
in simulation-time to avoid numerical errors. Efficient use of parallel programming models …

This paper presents HyperFlow: an approach to workflow programming which combines the
advantages of a declarative workflow description and low-level scripting programming. The …

Scientific workflows are commonplace in eScience applications. Yet, the lack of integrated
support for data models, including streaming data, structured collections and files, is limiting …