Abstract Background: The development of scientific software applications is far from trivial, due to the constant increase in necessary complexity these applications, their increasing size, and need for intensive maintenance reuse. Aim: To this end, developers (who usually lack a formal computer science background) use appropriate engineering (SE) practices. This paper describes results systema...

There is an increasing interest in the use of high-resolution multispectral data (acquired by small format digital air-borne imaging sensors) for large-scale vegetation mapping. Recent studies have focused on the potential of air-borne multispectral data as a means of identifying plant communities. This study is concerned with establishing a formal relationship between spatial resolution and la...

Provenance management has become increasingly important to support scientific discovery reproducibility, result interpretation, and problem diagnosis in scientific workflow environments. This paper proposes an approach to provenance management that seamlessly integrates the interoperability, extensibility, and reasoning advantages of Semantic Web technologies with the storage and querying power...

This pilot study focuses on the potential of Evidence-based Dialogue Mapping as a participatory action research tool to investigate young teenagers’ scientific argumentation. Evidence-based Dialogue Mapping is a technique for representing graphically an argumentative dialogue through Questions, Ideas, Pros, Cons and Data. Our research objective is to better understand the usage of Compendium, a...

loud computing is providing an environment for scientific workflows where large-scale and complex scientific analysis can be scheduled onto a heterogeneous collection of computational and storage resources. A scientific workflow is described as a paradigm, which is used to describe a set of structured activities and scientific computations. Scientific workflow scheduling has become one of the m...