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The Inaugural WeDigBio Event: Global Event Advances Digitization and Science Literacy

Hundreds of volunteers around the world transcribed >30,000 specimen labels at 25 events over four days (Oct 22–25, 2015) in the first Worldwide Engagement for Digitizing Biocollections (WeDigBio) event.  Events spanned a range of formal and informal education venues, from middle-school and undergraduate science classrooms to county libraries to museums, universities, and botanical gardens, such as the Smithsonian's National Museum of Natural H

iDigBio and the EMu NHSIG in Philadelphia

iDigBio was delighted with Axiell's generous invitation to present a half-day digitization workshop at the annual meeting of the EMu user group Natural History Special Interest Group (NHSIG), held October 7 at the Penn Museum in Philadelphia. After determining via survey what EMu users would be interested in hearing about, we fashioned the following well-received agenda:

Exploring unique values in iDigBio using Apache Spark

Data exploration for large datasets is always challenging. Often you are left with deciding between subsetting the dataset (randomly or on some facet), making slow progress waiting for results just to find that something needs to be fixed, or optimizing code for performance when you don't even know if the result is going to be interesting. Having a high-performance system capable of ad-hoc investigation has always been difficult and/or expensive.

SPNHC 2015: Sowing the Seeds of Digitization

The Florida Museum of Natural History and partners hosted the 30th Annual Meeting of the Society for the Preservation of Natural History Collections (SPNHC) from May 17-23, 2015, at the Hilton University of Florida Conference Center in Gainesville, Florida. The theme of the conference was “Making Natural History Collections Accessible Through New and Innovative Approaches and Partnerships”.

Field to Database (F2DB): field-data collecting trends and 21st century data skills

From Deb Paul, @idbdeb

This 4-day hands-on short course in March investigated current trends in collecting, and focused on best practices and skills development for supporting the collection and sharing of robust, fit-for-research-use data.

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