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Published byChrystal Osborne Modified over 9 years ago
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Matthew B. Jones National Center for Ecological Analysis and Synthesis (NCEAS) University of California Santa Barbara Advancing Software for Ecological Forecasting March 25, 2014 Software for Ecological Synthesis
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Ocean Health Index (OHI) Ocean Health Index Halpern et al. 2012
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The “long-tail” of science Heidorn, P. 2008. doi:10.1353/lib.0.0036
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https:// goa.nceas.ucsb.edu
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https://knb.ecoinformatics.org/
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Data Heterogeneity HeterogeneityHighLow Tight coupling Simple subsetting Explicit semantics Loose coupling Hard subsetting Limited semantics Data set sizeLowHigh
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Diverse Analysis and Modeling Wide variety of analyses used in ecology and environmental sciences – Statistical analyses and trends – Rule-based models – Dynamic models (e.g., continuous time) – Individual-based models (agent-based) – many others Implemented in many frameworks – R, Matlab, SAS, SPSS, Jump, C, Python, Fortran
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Kepler DMP-Tool Software & Data Interoperability PlanCollectAssureDescribePreserveDiscoverIntegrateAnalyze
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Produce an open-source scientific workflow system Design, share, and execute scientific workflows Support scientists in a variety of disciplines e.g., biology, ecology, oceanography, astronomy Features Data access Cross analytical packages Documentation Provenance tracking Model archiving and sharing
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Scientific workflows promote interoperability
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Why workflows? Executability Replicability Reproducibility Transparency Modularity Reusability Provenance
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How do we harness the long tail? Efficient data federation Interoperable software workflows Central search for discovery Just-in-time data integration – Loose coupling – Schema-less storage
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