Enabling Linked Science in Uncertainty Quantification Research
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Poster presented at AGU 2012 My web page: http://www.linkedin.com/in/ericstephan My citations: http://scholar.google.com/citations?hl=en&user=f4bH2esAAAAJ
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Enabling Linked Science in Uncertainty Quantification Research
- 1. Enabling Linked Science in Global Climate Uncertainty Quantification (UQ) Research Eric Stephan, Todd Elsethagen Linked Science Problem Provenance Environment (ProvEn) Services Uncertainty quantification (UQ) studies are often difficult to share between Portable Java-based lightweight restful ETL knowledge pipeline Climate Science for a collaborating scientists because they consist of many different interrelated simulation results, analytical reports, and ancillary data describing scientific Sustainable Energy Future rationale and calibrations used for setting parameters. The Climate Science for a Sustainable Energy Study NetCDF Future (CSSEF) is a collaborative project Scientists producing the data need linked science to provide a consistent means to correlate study data to background knowledge describing how the Plan Headers Citation among Oak Ridge National Laboratory, study was conducted. Argonne National Laboratory, Brookhaven Contributed Analysis Simulation Raw Native National Laboratory, Lawrence Berkeley Collaborating scientists using the UQ studies need this knowledge and National Laboratory, Lawrence Livermore references to data provided in a consistent and cross referenced form. Scripts Log files Provenance National Laboratory, Pacific Northwest National Ancillary Laboratory, and Sandia National Laboratories, Info together with the National Center for Atmospheric Research to transform the climate What is Data Provenance? model development and testing process and Data provenance is historical information describing the people, institutions, thereby accelerate the development of the software, and activities, responsible for creating or modifying data. Community Earth System Model's sixth- generation version, CESM3, scheduled to be released for predictive simulation in the 5 to 10 Extract: ProvEn extracts When is Data Provenance Generated? provenance from native year time frame. Historical information directly using data provenance vocabularies such as W3C Extract sources and load raw PROV-O is atypical. A better alternative is to extract from information produced native sources For more information about ProvEn Services by scientists conducting the study, simulation log files, workflow logs, ancillary ProvEn Services Pipeline materials, or scripts, spreadsheets, and pictures used for analysis. We call you see here, please contact: extracted historical information native provenance. When integrated together these sources can provide a composite story of files in the data Eric Stephan set origin to collaborators. Pacific Northwest National Laboratory Transform: ProvEn maps (509) 375-6977 extracted provenance to Eric.stephan@pnl.gov Transform scientific registered domain ontology Study NetCDF Native Plan Headers Citation Provenance Analysis Simulation Log files Load: For cross-referencing Scripts ProvEn aligns transformed Load provenance with registered Ancillary Write foundational ontologies W3C PROV-O, Dublin Core, and Info Execute FOAF. Re ad Search Resulting Triplestore Browse Composite History of the Scientists conducting UQ Study UQ Study generate native provenance URI links to files URI links to original Collaborating scientists making in UQ Study Native provenance Inquiries about UQ Study