The accelerating growth of data and knowledge in evolutionary biology is indisputable.
Despite this rapid progress, information remains scattered, poorly documented and in …

Provenance refers to any information describing the production process of an end product,
which can be anything from a piece of digital data to a physical object. While this survey …

This special issue and our editorial celebrate 10 years of progress with data-intensive or
scientific workflows. There have been very substantial advances in the representation of …

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 …

Environmental sensor networks are now commonly being deployed within environmental
observatories and as components of smaller-scale ecological and environmental …

ABSTRACT A key advantage of scientific workflow systems over traditional scripting
approaches is their ability to automatically record data and process dependencies …

Provenance, a record of the derivation history of scientific results, is critical for scientific
workflows to support reproducibility, result interpretation, and problem diagnosis. Both …

Scientific discoveries in the natural sciences are increasingly data driven and
computationally intensive, providing unprecedented data analysis and scientific simulation …

Scientific workflow systems are increasingly used to automate complex data analyses,
largely due to their benefits over traditional approaches for workflow design, optimization …

This book addresses the challenge of user-level workflow design with a particular focus on
the bioinformatics application domain. Towards this aim, it follows a novel, constraint-driven …