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Crowdsourcing the Past with Addressing History

Authors: Stuart Macdonald;

Crowdsourcing the Past with Addressing History

Abstract

The JISC-funded AddressingHistory project, led by the EDINA at the University of Edinburgh in partnership with the National Library of Scotland has created a online crowdsourcing tool and API which enables a broad spectrum of users (particularly local and family history groups, and genealogists) to combine data from digitised historical Scottish Post Office Directories (POD) for Edinburgh (1785, 1865, 1905 in the first instance), with contemporaneous historical maps. The technologies deployed are scalable for the full collection of 670 Post Office Directories covering the whole of Scotland. Phase 2 funding has developed functionality complementary to the original work and broadened geographic coverage of content. Work included spatial searching, and enhancing the geo-parsing process via discreet configuration files. Multiple addresses (i.e. entries where individuals have more than one domestic address) were also made explicit for searching purposes. Additional content for Edinburgh as well as Glasgow and Aberdeen (1881, 1886, 1891) to coincide with census (and an inter-census) years has been incorporated into the web tool, and a mobile Augmented Reality application will be added shortly. This presentation will discuss in more detail the social and technical approaches adopted in both phases of the project.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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