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PivotViewer for Scientific Ocean Drilling Data: Taxonomy and Disturbance Analysis

This document explores the use of PivotViewer to visualize scientific data related to ocean drilling. It covers data taxonomy, drilling disturbance data, and structured data presentation using Virtuoso as an RDF triple store. Included are queries with SPARQL to facilitate data access through CXML, enabling seamless display of biodiversity metrics. Emphasis is placed on the benefits of faceted user interfaces for data exploration. Additionally, insights into data handling through Excel and the complexity of deep zoom images reveal the potential for scaling the analysis of larger datasets.

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PivotViewer for Scientific Ocean Drilling Data: Taxonomy and Disturbance Analysis

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  1. PivotViewer for Scientific Ocean Drilling Data Taxonomy and drilling disturbance data in Pivotviewer.

  2. Structured data presentation • Virtuoso (RDF triple store) (example) • http://data.oceandrilling.org:8890/PivotViewer • SPARQL to CXML (Pivotviewer as a method to display query results) PREFIX gmd: <http://www.isotc211.org/2005/gmd> PREFIX oai_voc: <http://www.mediaspaces.info/vocab/oai-pmh.rdf#> PREFIX taxon: <http://www.chronos.org/taxa/#> SELECT DISTINCT ?uri ?author ?genus ?species ?fad_stage ?lad_stage ?fad_ma ?lad_ma ?chamber_arrangement ?test_outline ?coiling_axis ?edge_view ?umbilical_or_test_sutures ?shell_porosity ?wall_texture ?aperture ?aperture_border ?accessory_apertures ?periphery ?image WHERE { ?uri taxon:author ?author . ?uri taxon:current_genus ?genus . ?uri taxon:species ?species . ?uri taxon:fad_stage ?fad_stage . ?uri taxon:lad_stage ?lad_stage . ?uri taxon:fad_ma ?fad_ma . ?uri taxon:lad_ma ?lad_ma . ?uri taxon:chamber_arrangement ?chamber_arrangement . ?uri taxon:test_outline ?test_outline . ?uri taxon:coiling_axis ?coiling_axis . ?uri taxon:edge_view ?edge_view . ?uri taxon:umbilical_or_test_sutures ?umbilical_or_test_sutures . ?uri taxon:shell_porosity ?shell_porosity . ?uri taxon:wall_texture ?wall_texture . ?uri taxon:aperture ?aperture . ?uri taxon:aperture_border ?aperture_border . ?uri taxon:accessory_apertures ?accessory_apertures . ?uri taxon:periphery ?periphery . ?uri taxon:main_image_url ?image . }

  3. Quick points… • Excel creation is an easy route for small data as you likely saw • <editorial> Data Explorer shown this week could serialize to cxml (odata to cxml transform?) </editorial> • Coding… • Cxml is just xml (not overly complex) • The deep zoom image collection can be more problematic (there are tools) • Easy for small sets (1-10k?) should scale to much larger with non-static approaches • Faceted UI’s in general are a useful tool in the toolbox • SL 5 changes

  4. Douglas Fils Data Manager Consortium for Ocean Leadership United States Implementing Organization Integrated Ocean Drilling Program dfils@oceanleadership.org Thanks…

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