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Documenting Provenance for Reproducible Marine Ecosystem Assessment in Open Science
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Author(s): Xiaogang Ma (Rensselaer Polytechnic Institute, & University of Idaho, USA), Stace E. Beaulieu (Woods Hole Oceanographic Institution, USA), Linyun Fu (Rensselaer Polytechnic Institute, USA), Peter Fox (Rensselaer Polytechnic Institute, USA), Massimo Di Stefano (Rensselaer Polytechnic Institute, USA & University of New Hampshire, USA)and Patrick West (Rensselaer Polytechnic Institute, USA)
Copyright: 2017
Pages: 27
Source title:
Oceanographic and Marine Cross-Domain Data Management for Sustainable Development
Source Author(s)/Editor(s): Paolo Diviacco (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale (OGS), Italy), Adam Leadbetter (Marine Institute, Ireland)and Helen Glaves (British Geological Survey, UK)
DOI: 10.4018/978-1-5225-0700-0.ch005
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Abstract
Open Science not only means the openness of various resources involved in a scientific study but also the connections among those resources that demonstrate the origin, or provenance, of a scientific finding or derived dataset. In this chapter, the authors used the PROV Ontology, a community standard for representing and exchanging machine-readable provenance information in the Semantic Web, and extended it for capturing provenance in the IPython Notebook, a software platform that enables transparent workflows. The developed work was used in conjunction with scientists' workflows in the Ecosystem Assessment Program of the U.S. NOAA Northeast Fisheries Science Center. This work provides a pathway towards formal, well-annotated provenance in an electronic notebook. Not only will the use of such technologies and standards facilitate the verifiability and reproducibility of ecosystem assessments, their use will also provide solid support for Open Science at the interface of science and ecosystem management for sustainable marine ecosystems.
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