As a researcher, I will be able to select the output of a workflow run, and then obtain the information that shows that this output was used to provide output on the 12th of December 2011, that it did so as part of protein discovery workflow, that the purpose of this service was to suggest biological concepts involved in Metabolic Syndrome, and the steps taken to achieve those results were optimize_for_medline, aida_retrieve_documents_in_parts

Introduction

This page is a summary of the showcase 22 at sprint2  phase which corresponds with theJira story (WFE-204).

There exists different types of provenance which are being under work in the project [26] [27]. Among others it is important to capture the trace of the workflow run in order to find out some characterisitics or properties of the research object or to allow its reviewing. The terminology related to that type of provenance can be found at [27] and it relies on wfdesc and wfprov ontologies [28]. Some examples can be also found at [29] indicating where each one of the ontologies is applied and how.

The main purpose of this showcase is to provide a way of consulting that provenance of the workflow results by a SPARQL endpoint. This data will be used later, among other funcionalities, for addressing some of the issues related with the evaluation of the quality of a research object and some of its properties (e.g. reproducibility), or to provide deeper information about an specific execution of a scientific experiment and its information (e.g. to provide ofther workflows which also uses some of its processes).

There are also relations between this provenance and other types of provenance but the study of these relations is out of the scope of the showcase.

Regarding the conversion from the two main types of workflow sources , it has been choosen to use PROV-O [31] as bridge towards taverna -> wfprov conversion, and a direct OPMW -> wfprov for WINGS thouhg the alignment between OPMW -> PROV-O has also been studied.

Protein Discovery workflow