Digitised 19th Century Books - Metadata - 01/09/2013
Name
book_data.zip
Description
visibility:open
Size
12.48 MB
Format
Unknown
Checksum (CRC64NVME)
b3BmQ9iHn50=
Resource type
Dataset
Date published
2014
Abstract
The dataset holds metadata on the the books digitised within this collection, providing a quick means to connect a book identifier with some of the key bibliographic metadata about it. The metadata is held in JSON notation for ease of reuse.
Creator (organisation)
British Library
British Library Labs
Contributor (person)
Edwards, Adrian
Fitzgerald, Neil
Publisher
British Library
Place of publication
London, UK
Official URL
Keywords
Additional information
The dataset is a compilation of data from a variety of different data sources and as such, acts more to bind together these systems than to replace the Library's catalogue systems. The canonical and most up to date information will be on those systems and this file should always be seen to be superceded by their metadata. NB this is a large file, and problems using some tools such as "./jq" have been reported. The file was created with python's "json" module" and can be opened and used with it. This JSON file can be flattened (with a loss of some qualifying information) into a CSV file using this python script. That said, the metadata presented here is very useful in connecting the basic metadata of a book with its PDF on the British Library systems, as well as connecting it to the illustrations "cut" from its pages and uploaded to Flickr Commons. Here is an example record: { "datefield": "[1888]", "imgs": { "0": { "000006": ["11193640604"], "000021": ["11291327843"], "000004": ["11194557546"], "000016": ["11195895503"], "000011": ["11193211526"], "000010": ["11105407186", "11102797916"], "000012": ["11290477144"], "000037": ["11290757205"], "000035": ["11290567494"], "000027": ["11196186866"], "000033": ["11193563513"], "000032": ["11105696613"], "000031": ["11289757376"], "000030": ["11289521295"], "000023": ["11289589926"], "000014": ["11291300706"], "000015": ["11100321335"], "000024": ["11291438044"], "000007": ["11104733396"],
Collection