Title: Multidimensional vector coordinates as a method of organisation of large social and economic databases

Authors: Chris Leowski

Addresses: University of Toronto, 140 St. George St., Suite 707, Toronto, Ontario, M5S 3G6, Canada

Abstract: Economic and social databases that contain hundreds of millions of data points need to be organised in a way that allows filtering and viewing of data through various sets of dimensions to narrow search criteria and limit the volume of returned data. Vector arrays with individual vectors addressed through multidimensional vector coordinates is one such organisational method, at the core of the largest Canadian national database CANSIM, deployed at Statistics Canada and at the University of Toronto, and widely used for research and teaching in many North American universities.

Keywords: economic adatabases; social databases; database organisation; multidimensional vector coordinates; Statistics Canada; CANSIM.

DOI: 10.1504/IJICT.2010.034978

International Journal of Information and Communication Technology, 2010 Vol.2 No.4, pp.374 - 385

Published online: 31 Aug 2010 *

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