2. 2
@BL_Labs @BL_DigiSchol #bldigital
2016 • 18 institutions visited
• 5000 miles travelled
• 50 presentations & 25 workshops
• 730 researchers
• 250 expressions of interest
• 40 researchers, artists, entrepreneurs &
educators supported
• 60TB of data via post
• 9TB of data via data.bl.uk (Nov 16)
• Nearly half a billion views on BL Flickr
Commons since launch in Dec 2013
3. 3
@BL_Labs @BL_DigiSchol #bldigital
Cultural Heritage Datasets
Datasets about our collections
Bibliographic datasets relating to our published
and archival holdings
Datasets for content mining
Content suitable for use in text and data mining
research
Datasets for image analysis
Image collections suitable for large-scale image-
analysis-based research
Datasets from UK Web Archive
Data and API services available for accessing UK
Web Archive
Digital mapping
Geospatial data, cartographic applications, digital
aerial photography and scanned historic map
materials https://data.bl.uk
Launch today: November 7, 2016
Discussion list: http://www.jiscmail.ac.uk/CULTURAL-HERITAGE-DATASETS
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@BL_Labs @BL_DigiSchol #bldigital
Finalists 2016
Hannah-Rose Murray
PhD student, University of Nottingham
Black Abolitionist Performances and their Presence in
Britain
Luda Karen Brian
Hannah-Rose
Luda Zhao, Karen Wang (Masters Students at Stanford
University), Brian Do (Harvard Medicine and PhD student)
SherlockNet: Using Convolutional Neural Networks to
Automatically Tag and Caption the British Library
Collection
33 Seconds (100 Words)
In a nutshell the project encourages researchers, artists, entrepreneurs, educators and anyone else,
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to ‘experiment’ with our digital collections and data. We are particularly interested in those who have questions which focus on the potential to find and create NEW things through access to the digital content. For example, being able to ask a question across thousands of digitised books or newspapers using computational techniques would not feasible using manual methods. Let’s look at a clear example.
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