Semantic Web Applications and Tools for Healthcare and Life Sciences
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The Story of an Experiment: A Provenance-based Semantic Approach towards Research Reproducibility

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Version 2 2018-12-04, 13:43
Version 1 2018-12-04, 10:17
journal contribution
posted on 2018-12-04, 13:43 authored by Sheeba SamuelSheeba Samuel, Kathrin Groeneveld, Frank Taubert, Daniel Walther, Tom Kache, Teresa Langenstück, Birgitta König-Ries, H. Martin Bücker, Christoph Biskup
End-to-end reproducibility of scientific experiments is a key
to the foundation of science. Reproducibility of an experiment does not necessarily guarantee the accuracy of its results, but it guarantees that the steps of an experiment can be repeated to a certain level of significance to generate similar results. Data provenance plays a key role in telling the story of an experiment which helps one step towards re-
producibility. To convey the message of a story, it is essential to provide sufficient data and its flow along with its semantics. In this paper, we present a provenance-based semantic approach to explain the story of a scientific experiment with the primary goal of reproducibility. The
REPRODUCE-ME ontology extended from PROV-O and P-Plan is used to represent the whole story of an experiment describing the path it took from its design to result. We visualize and evaluate the provenance life-cycle of a scientific experiment taking into account the use case of life
science experiments.


This work is supported by the Deutsche Forschungsgemeinschaft (German Research Foundation, CRC/TRR 166 “High-end light microscopy elucidates mem- brane receptor function - ReceptorLight”, projects Z2 and B1).


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