Integration of different data bodies for humanitarian decision support: an example from mine action.
Geographic information systems (GIS) are increasingly used for integrating data from different sources and substantive areas, including in humanitarian action. The challenges of integration are particularly well illustrated by humanitarian mine action. The informational requirements of mine action are expensive, with socio-economic impact surveys costing over US$1.5 million per country, and are feeding a continuous debate on the merits of considering more factors or 'keeping it simple'. National census offices could, in theory, contribute relevant data, but in practice surveys have rarely overcome institutional obstacles to external data acquisition. A positive exception occurred in Lebanon, where the landmine impact survey had access to agricultural census data. The challenges, costs and benefits of this data integration exercise are analysed in a detailed case study. The benefits are considerable, but so are the costs, particularly the hidden ones. The Lebanon experience prompts some wider reflections. In the humanitarian community, data integration has been fostered not only by the diffusion of GIS technology, but also by institutional changes such as the creation of UN-led Humanitarian Information Centres. There is a question whether the analytic capacity is in step with aggressive data acquisition. Humanitarian action may yet have to build the kind of strong analytic tradition that public health and poverty alleviation have accomplished.
Benini
Aldo A
AA
National Demining Office, Lebanon. abenini@starpower.net
Conley
Charles E
CE
Shdeed
Richard
R
Spurway
Kim
K
Yarmoshuk
Mark
M
D000383:Agriculture / Q000706:statistics & numerical data*; D000533:Altruism; D001753:Blast Injuries / Q000517:prevention & control*; D019352:Censuses; D003362:Cost-Benefit Analysis; D003661:Decision Support Techniques; D003666:Decontamination / Q000191:economics*; D040362:Geographic Information Systems; D014943:Global Health; D006801:Humans; D007861:Lebanon; D016015:Logistic Models; D019982:Organizational Case Studies; D040442:Public Health Informatics; D012066:Relief Work / Q000191:economics* / Q000458:organization & administration