iDigBio:Addressing a BIO Big Data

Challenge

A. Matsunaga, et al. 2013 IEEE e-Science. 2013: 78-87

How iDigBio is Different

The Data Landscape is Changing

https://www.idigbio.org/content/collaborating-institutions

Research Use & Training

Cloud-BasedData Store

CommunityBuilding

Tools, APIs & Workflows

Outreach/Education

Data Capture/Annotation

Best Practices

Community Building is Key

A. Matsunaga, et al. 2013 IEEE e-Science. 2013: 78-87

CI Design: Integrate, Leverage, Re-Use

now 2050

now 2050

Flatspike sedge (Abildgaardia ovata)

Scrub plum (Prunus geniculata)

C. Germain-Aubrey et al. - 1600 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

http://www.dataone.org

Community Input: Now and Future

A Model for Community-Driven CI

Anne Maglia amaglia@nsf.gov @ammaglia

NSF/BIO/DBI

iDigBio: http://www.idigbio.org