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Enhancing ecosystem science through iPython and PROV-O for verifiable data tracking and assessment. Learn how stakeholders and practitioners can engage in routine assessments with robust data.
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Toward verifiable science: iPython meets PROV-O(Semantics in Ecosystems Assessments). April 16, 2014 ERRT Peter Fox (RPI/ Tetherless World Constellation and WHOI/AOP&E) pfox@cs.rpi.edu (@taswegian) and collaborators on the NSF INTEROP ECO-OP project. http://tw.rpi.edu/web/project/ECOOP
Why important? Stace Beaulieu
Vision? • “Our vision is to develop, facilitate, and maintain sustained multi-way engagement of natural and social scientists and many practitioners in multi-scale local to global networks for LMEs”. • Goal: We want to perform routine assessments of LMEs involving all (or as many) stakeholders and we want robust science data presented in forms that various end-users can consume… and verify
Generation Stace Beaulieu
Tracing Stace Beaulieu
W3C PROV Stace Beaulieu
Past Experience with PROV Stace Beaulieu
Extended Use Case Stace Beaulieu
Instrument a tool - iPython Stace Beaulieu
Screenshot of IPython Notebook used to track both data and workflow provenance http://ipython.org/ Code in Python, Matlab, R, other Stace Beaulieu
Screenshot of IPython Notebook used to track both data and workflow provenance http://ipython.org/ Notebook can be shared, or output as script, HTML, PDF, other Stace Beaulieu
PDF output of IPython Notebook with clickable links to data and code Stace Beaulieu
Screenshot of csv file at GitHub Access not only to the data that are plotted, but also to provenance metadata for reproducibility Stace Beaulieu
Outcomes • Implemented PROV-O in iPython NoteBook* • Extended GCIS ontology for ECOOP to include dataset generation • Improved the practice of annotation and generation of report materials
Beaulieu - Indicators Stace Beaulieu
Indicators Stace Beaulieu
Current (Proposal) Stace Beaulieu
Indicators Explained Stace Beaulieu
Next … iPython meets NCA NCA=National Climate Assessment Stace Beaulieu
Informatics enables a new approach • Use cases • Stakeholders • Distributed authority • Access control • Ontologies • Maintaining Identity
Drivers/ Pressures • Physical Drivers • North Atlantic Oscillation • Atlantic Multi-decadal Oscillation • Human Drivers • Population • Income • Human Pressures (Fishery Removals) • Number Groundfish Vessels • Landings, Principal Groundfish • Landings, Other Fish • Landings, Small Pelagics • Landings, Crustaceans • Landings, Molluscs • Temperature • Extended Reconstructed SST • Coastal Temperature, Virginia • Coastal Temperature, Woods Hole • Costal Temperature, Boothbay Harbor • Survey sea surface temperature • Survey bottom sea temperature • Thermal Habitat <4oC • Thermal Habitat >5oC and <15 oC • Thermal Habitat >16oC • River Discharge • River Flow-Gulf of Maine • River Flow-Middle Atlantic Bight • River Flow-Southern New England • Wind Fields • Wind Stress, Cape Hatteras • Wind Stress, New York • Wind Stress, Georges Bank • Wind Stress East-West, Cape Hatteras • Wind Stress East-West, New York • Wind Stress East-West, Georges Bank • Wind Stress North-South, Cape Hatteras • Wind Stress North-South, New York • Wind Stress North-South, Georges Bank • Other • Stratification • Survey surface salinity • Survey bottom salinity • Gulf Stream Location • %Labrador-Subarctic Slope Water in GoM
Ecosystem State Variables • Demography/Trophic Level • Mean Trophic Level Catch • Mean Trophic Level Survey • Primary Production Required, Landings • Mean Length • Community Composition • Thermal Preference • Pelagic to Demersal Ratio • Elasmobranch to Demersal Groundfish Ratio • Impacts • Groundfish Fishery Revenue Plankton • Continuous Plankton Recorder Color Index. • Zooplankton Ecosystem Biovolume • Ratio of Small to Large Zooplankton Nekton/Benthos • Relative Abundance, Crustaceans • Relative Abundance, Elasmobranch • Relative Abundance, Ground Fish • Relative Abundance, Molluscs • Relative Abundance, Other Fish • Relative Abundance, Small Pelagics • Relative Abundance, All Species