IDigBio: Addressing a BIO Big Data Challenge. A. Matsunaga, et al. 2013 IEEE e-Science. 2013: 78-87 How iDigBio is Different.

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Presentation transcript:

iDigBio: Addressing a BIO Big Data Challenge

A. Matsunaga, et al IEEE e-Science. 2013: How iDigBio is Different

The Data Landscape is Changing

Research Use & Training Cloud-Based Data Store Community Building Tools, APIs & Workflows Outreach/ Education Data Capture/ Annotation Best Practices

Community Building is Key

A. Matsunaga, et al IEEE e-Science. 2013: CI Design: Integrate, Leverage, Re-Use

now2050 now2050 Flatspike sedge (Abildgaardia ovata) Scrub plum (Prunus geniculata) C. Germain-Aubrey et al spp., 511,000 GPS iDigBio Data Lead to Discovery

Accelerating Digitization of Biodiversity Research Specimens through Online Public Participation Aiming Up: Natural History Collections as Emerging Resources for Innovative Undergraduate Education in Biology A Computational- and Storage-Cloud for Integration of Biodiversity Collections Five task clusters that enable efficient and effective digitization of biological collections Augmenting optical character recognition (OCR) for improved digitization: Strategies to access scientific data in natural history collections A workflow for text extraction and parsing for herbarium specimens Integrating specimen databases and revisionary systematics Reaching Consensus in Crowdsourced Transcription of Biocollections Information Semantics in Support of Biodiversity Knowledge Discovery A Specimen-based View of the World: Using the Biological Collections Ontology to Model Biodiversity Collections And to Best Practices

NSF Plays an Active Role

Bridging Investments: Trees + Specimens + Tools

Community Input: Now and Future

A Model for Community-Driven CI

Anne NSF/BIO/DBI iDigBio: