Common Operational Datasets
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Common Operational Datasets or CODs, part of a coupling with Fundamental Operational Datasets, are sets of baseline data used to support operations and decision-making in humanitarian disaster preparedness, response and recovery. [1] The data is typically geo-spatially linked using a coordinate system, and displayable using GIS and spreadsheet software. Examples include[2][3][4];
- Administrative boundaries
- Settlement layouts
- Communications links (e.g. road, rail, port, power and telephone infrastructure
- Geographical features (e.g. hydrology, geology, vegetation coverage, land elevation)
- Natural hazards (e.g. flood risk, volcanoes, seismic risk)
- Population statistics (e.g. demography, distribution)
- Assessed disaster impacts and/or needs (e.g. infrastructure and communications damage, affected populations statistics, affected land area)
- Satellite imagery
Whilst some data-sets remain relatively constant (e.g. geographical features and administrative boundaries) others change (Assessed disaster impacts and needs) and require to be regularly updated.[1]
Sources of curated CODs include the Humanitarian Data Exchange[5] and DIVA-GIS[6], though these may also be found on various governmental websites and created and/or obtained from various humanitarian active in relation to a crisis.
References
- ^ a b Inter-Agency Standing Committee (2010). "IASC Guidelines Common Operational Datasets (CODs) in Disaster Preparedness and Response" (PDF). Retrieved 23 October 2017.
{{cite journal}}: Cite journal requires|journal=(help) - ^ UNHCR. "UNHCR|Emergency Handbook". emergency.unhcr.org. Retrieved 23 October 2017.
- ^ Humanitarian Data Exchange. "Search for a Dataset - Humanitarian Data Exchange". Humanitarian Data Exchange. Retrieved 23 October 2017.
- ^ "Country Level Minimum Common Operational Datasets" (PDF). World Health Organisation. 2007.
- ^ "Welcome - Humanitarian Data Exchange". data.humdata.org. Retrieved 2017-10-23.
- ^ "DIVA-GIS | free, simple & effective". www.diva-gis.org. Retrieved 2017-10-23.