Due to the diversity of natural language processing (NLP) tools and resources, combining
them into processing pipelines is an important issue, and sharing these pipelines with others …

Liquid chromatography–mass spectrometry (LC–MS) metabolomics studies produce high-
dimensional data that must be processed by a complex network of informatics tools to …

The emergence of Cloud computing provides a new computing paradigm for scientific
workflow execution. It provides dynamic, on-demand and scalable resources that enable the …

In recent years, information integration systems have become very popular in mashup-type
applications. Information sources are normally presented in an individual and unrelated …

Scientific experiments and projects such as CMS and neuGRIDforYou (N4U) are annually
producing data of the order of Peta-Bytes. They adopt scientific workflows to analyse this …

There is a current trend to combine natural language analysis with research questions from
the humanities. This requires an integration of automatic analysis with manual analysis, eg …

Monitoring of business process workflows based on metric quality models is associated to a
gap between the definitions of workflow, service and infrastructure layer quality metrics. Most …

Purpose: The purpose of this dissertation is to investigate the feasibility of using tests of
robustness in peer review. This study involved selecting three high-impact papers which …

The computational age and its fast technological progress boosted research output of almost
all disciplines. However, these early benefits come along with a burden: while the exchange …

The main purpose of this document is to provide a high level description of the EVER-EST
Virtual Research Environment (VRE) architecture along with its components and provide a …