Background Computational bioinformatics workflows are extensively used to analyse
genomics data, with different approaches available to support implementation and execution …

Interactive notebooks are increasingly popular among scientists to expose computational
methods and share their results. However, it is often challenging to track their dataflow, and …

Workflows are increasingly adopted to describe large-scale data-and compute-intensive
processes that can take advantage of today's Distributed Computing Infrastructures. Still …

The goal of our work is to develop an open and modular course for data science and big
data analytics that is accessible to non-programmers. The course is designed to cover major …

We have designed an open and modular course for data science and big data analytics
using a workflow paradigm that allows students to easily experience big data through a …

Analyzing web content, particularly multimedia content, for security applications is of great
interest. However, it often requires deep expertise in data analytics that is not always …

In this paper, we demonstrate the use of scientific workflows in bridging expertise across
multiple domains by re-purposing workflow fragments in the areas of text analysis, image …

In this paper we introduce a regional education project and a positive experience of quick
implementation of a new training package enabled by public funding from the European …

Workflows are an increasingly common way of representing and sharing complex in silico
analytical methodologies. Workflow authoring systems such as Taverna and Galaxy …

Scientific Workflows do not seem to be broadly used today in the Digital Humanities to
perform text and data analysis. Although they have become established in e-Science …