Outputs (4)

Incorporating semantics in pattern-based scientific workflow recommender systems (2015)
Presentation / Conference Contribution

Recommender systems are used to enable decision support. Using them to assist users when designing scientific workflows introduces a number of challenges. These include selecting appropriate components and specifying correct parameter values. Pattern... Read More about Incorporating semantics in pattern-based scientific workflow recommender systems.

Designing traceability into big data systems (2015)
Presentation / Conference Contribution

Providing an appropriate level of accessibility and traceability to data or process elements (‘Items’) in large volumes of data, often Cloud-resident, is an essential requirement in the Big Data era. Enterprise-wide data systems need to be designed f... Read More about Designing traceability into big data systems.

Traceability and provenance in big data medical systems (2015)
Presentation / Conference Contribution

Providing an appropriate level of accessibility to and tracking of data or process elements in large volumes of medical data, is an essential requirement in the Big Data era. Researchers require systems that provide traceability of information throug... Read More about Traceability and provenance in big data medical systems.

Analysis traceability and provenance for HEP (2015)
Presentation / Conference Contribution

This paper presents the use of the CRISTAL software in the N4U project. CRISTAL was used to create a set of provenance aware analysis tools for the Neuroscience domain. This paper advocates that the approach taken in N4U to build the analysis suite i... Read More about Analysis traceability and provenance for HEP.