Utilising Semantic Web Ontologies To Publish Experimental Workflows

Abstract

Reproducibility in experiments is necessary to verify claims and to reuse prior work in experiments that advance research. However, the traditional model of publication validates research claims through peer-review without taking reproducibility into account. Workflows encap‐ sulate experiment descriptions and components and are suitable for repre‐ senting reproducibility. Additionally, they can be published alongside tra‐ ditional patterns as a form of documentation for the experiment which can be combined with linked open data. For reproducibility utilising published datasets, it is necessary to declare the conditions or restrictions for per‐ missible reuse. In this paper, we take a look at the state of workflow re‐ producibility through a browser based tool and a corresponding study to identify how workflows might be combined with traditional forms of docu‐ mentation and publication. We also discuss the licensing aspects for data in workflows and how it can be annotated using linked open data ontolo‐ gies