Record

Brand new development of research and innovation gamble an enormous role in the the way in which scientific studies are conducted. Focusing on how experiments are executed and exactly how results are derived have getting much more cutting-edge on the recent volatile development of heterogeneous browse studies and methods. For this reason, it is important that brand new provenance out of show was tracked, discussed, and treated throughout the lookup lifecycle including the beginning of an experiment so you can their stop to make sure reproducibility out of results discussed on the net. Yet not, there was insufficient interoperable image of prevent-to-stop provenance out of scientific tests one to interlinks studies, processing measures, and you may results from an experiment’s computational and you may low-computational processes.

Efficiency

We present the fresh “REPRODUCE-ME” study model and ontology to describe the finish-to-prevent provenance off scientific experiments because of the stretching present conditions regarding the semantic websites. New ontology integrates different aspects of one’s provenance out-of scientific studies done by interlinking low-computational investigation and you may actions which have computational study and tips to achieve understandability and reproducibility. I give an explanation for essential categories and qualities of your own ontology and you may the way they is actually mapped to help you established ontologies particularly PROV-O and you will P-Package.