On 2016-01-28, Daniel Garijo presented Reproducibility Using Semantics: An Overview at the Dagstuhl Seminar 16041 Reproducibility of Data-Oriented Experiments in e-Science:
The Semantic Web has helped to create knowledge bases that link and facilitate accessibility to research data. However, how can it help scientists to make their experiments reproducible? This talks introduces an overview of the different initiatives led by the Ontology Engineering Group (UPM) to address reproducibility by using semantics. The initiatives are distributed among several disciplines, including the formalization of laboratory protocols to detect ambiguity and missing descriptions, documentation and publication of scientific workflows and their resources, capturing the infrastructure needed to reproduce a scientific experiment, achieving long term preservation of research objects and conditional access to resources based on their intellectual property rights.
Abstract by Daniel Garijo, distributed under Creative Commons Attribution 3.0 license, typographically adapted from Dagstuhl Report 16041 section 4.4 (https://doi.org/10.4230/DagRep.6.1.108) by Stian Soiland-Reyes.