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REPRODUCE-ME: Reproducibility of Scientific Experiments

Our research provides a list of work done for the Reproducibility of Scientific Experiments.

1. The REPRODUCE-ME Ontology

The REPRODUCE-ME ontology extended from PROV-O and P-Plan is used to represent the whole picture of an experiment describing the path it took from its design to result. We aim to enable end-to-end reproducibility of scientific experiments by capturing and representing the complete provenance of a scientific experiment using the REPRODUCE-ME ontology.

2. ProvBook

We present ProvBook, an extension of Jupyter Notebook, to capture and view the provenance over the course of time. It also allows the user to share a notebook along with its provenance in RDF and also convert it back to a notebook. We use the REPRODUCE-ME ontology extended from PROV-O and P-Plan to describe the provenance of a notebook. This helps the scientists to compare their previous results with the current ones, check whether the experiments produce the results as expected and query the sequence of executions using SPARQL. The notebook data in RDF can be used in combination with the experiments that used them and help to get a track of the complete path of the scientific experiments.

3. CAESAR-A Collaborative Environment for Scientific Analysis with Reproducibility

We present CAESAR, a framework for the end-to-end provenance management of scientific experiments. This collaborative framework allows scientists to capture, manage, query and visualize the complete path of a scientific experiment consisting of computational and non-computational steps in an interoperable way.

Acknowledgements

This research is supported by the Deutsche Forschungsgemeinschaft (DFG) in Project Z2 of the CRC/TRR 166 High-end light microscopy elucidates membrane receptor function - ReceptorLight.