Integrating Public Domain Data to Construct Community Profiles | Zendy

Ken Reed | Zendy; Betsy Blunsdon | Zendy; Nicola McNeil | Zendy; Steven McEachern | Zendy

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Integrating Public Domain Data to Construct Community Profiles

Author(s) -

Ken Reed,

Betsy Blunsdon,

Nicola McNeil,

Steven McEachern

Publication year - 2004

Publication title -

iassist quarterly

Language(s) - English

Resource type - Journals

eISSN - 2331-4141

pISSN - 0739-1137

DOI - 10.29173/iq590

Subject(s) - construct (python library) , public domain , domain (mathematical analysis) , data science , computer science , geography , mathematics , computer network , mathematical analysis , archaeology

In recent times there has been an increase in the availability of and requirement for public domain data that can be used to construct community level profiles in order to study contextual level phenomena. In this paper, we will review the developments that have given rise to this requirement, and explain how we have constructed a database of community characteristics at a postcode level. We shall then review applications of this type of data, and the opportunities for both aggregation and extension.

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