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The following is a list of potential country-specific CODs for three types of natural disasters.  The list was created with the support of the Coordinated Data Scramble (Global Level IMWG), the analytical framework – part of MIRA), OCHA Needs Assessment and Analysis Section, two COD workshops (Berlin, April 2017 (OCHA-IMO) and Geneva, June 2017 (Global IMWG Data Sub-group) based on data required in past emergencies.  

Not all of the datasets listed below are CODs!! It is up to the IM network in the country to identify what datasets are required as a common reference when preparing or responding to an emergency.  

To identify CODs, use the Identifying a COD Tool if the IM network cannot decide if a dataset is a COD. Even if a dataset is not considered to be a COD it should still be shared on HDX as it could prove valuable to others. The  Data Prioritization Tool can help when there are too many datasets identified as CODs and the IM network needs to identify priorities.

Cyclone, Typhoon, Hurricane

Pre-crisis dataset theme

Rational as COD

Administrative boundaries

good for an initial estimate of people affected, PiN, used for Operational Presence (3W) and framework for analysis. It should include as many levels as possible and not only be thought of in terms of the 3W. More information here: COD-AB

Population statistics (census)

Should be SADD (Sex and Age Disaggregated Data), should include as many admin levels as possible (the lower the better). More information here: COD-PS

Vulnerable populations

Identification of datasets that provide information about vulnerable populations that exist prior to an emergency (e.g. pregnant/lactating women, people with disabilities, etc) These datasets are a subset of the COD-PS.

Settlements

This is where people live. This will be required for operational purposes and it is even better if population numbers are attached. The IMWG needs to be ‘comfortable’ with the data and accept that it may not be complete or perfect. It should have an independent p-code system to the administrative boundary p-codes to allow for changes to take place with fewer repercussions.

Transportation: Roads, bridges, ports, airports, helipads, ferry crossings

Baseline data related to access and logistics

Elevation

To identify potential landslides, hard to access/remote villages

Hydrology: Rivers, lakes, wetlands

Baseline data to see where flooding may occur or to identify hard to reach locations. If bridges are not available, they could be identified using hydrology layer. Flood forecasting  Global Flood Awareness System and crop monitoring FEWSNET 

Water basins

Could help identify/refines areas that have the potential of being affected when dealing with floods – (TBC with hydrologist)

Dams

Potential hazard during flooding

Hydro lines

Related to access, if they cross over roads this impacts access to locations - people

Education Facilities

Location of schools for potential operational purposes (evacuation centers, shelter purposes, distribution, collection, etc) and immediate recovery

Health Facilities

Health zones can sometimes be more important than the COD-AB in health-related responses and should be identified by the IMWG.

Post-event dataset theme

Rational as COD and source if possible

Storm path

All should be using the same source, should use the same source as government

Wind buffer

All should be using the same source, should use the same source as government

Storm surge

All should be using the same source, should use the same source as government

Flood area

Initial and for 2-3 weeks after initial flooding. All should be using the same source and should use the same source as government. Consider that you may want cumulative data. Potential data sources include: UNOSAT Flood Portal, NRT Global Flood Mapping (for more information about  Recommended Practice: Flood Mapping and Damage Assessment using Sentinel-2 Optical Data

Road access

Identification of road accessibility post-disaster to identify operational routes and constraints. Spatial data is provided by WFP for primary and secondary roads. It is available on WFPs GeoNode instance and via HDX and stored on OSM.

  Floods

Pre-crisis dataset theme

Rational as COD

Administrative boundaries

good for an initial estimate of people affected, PiN, used for Operational Presence (3W) and framework for analysis. It should include as many levels as possible and not only be thought of in terms of the 3W. More information here: COD-AB

Population statistics (census)

Should be SADD (Sex and Age Disaggregated Data), should include as many admin levels as possible (the lower the better). More information here: COD-PS

Vulnerable populations

Identification of datasets that provide information about vulnerable populations that exist prior to an emergency (e.g. pregnant/lactating women, people with disabilities, etc) These datasets are a subset of the COD-PS.

Settlements

This is where people live. This will be required for operational purposes and it is even better if population numbers are attached. The IMWG needs to be ‘comfortable’ with the data and accept that it may not be complete or perfect. Should have an independent p-code system to the administrative boundary p-codes to allow for changes to take place with fewer repercussions.

Transportation: Roads, bridges, ports, airports, helipads, ferry crossings

Baseline data related to access and logistics

Elevation

To identify potential landslides, hard to access/remote villages

Hydrology: Rivers, lakes, wetlands

Baseline data to see where flooding may occur or to identify hard to reach locations. If bridges are not available, they could be identified using hydrology layer.

Water basins

Could help identify/refines areas that have the potential of being affected when dealing with floods – (TBC with hydrologist)

Dams

Potential hazard during flooding

Hydro lines

Related to access, if they cross over roads this impacts access to locations - people

Education Facilities

Location of schools for potential operational purposes (evacuation centers, shelter purposes, distribution, collection, etc) and immediate recovery

Health Facilities

Location of health facilities for ….Health zones can sometimes be more important than the COD-AB and should be identified.

Post-event dataset theme

Rational as COD and source if possible

Flood area

All should be using the same source, should use the same source as government

Precipitation forecast

All should be using the same source, should use the same source as government

Flood water detection data

Initial and for 2-3 weeks after initial flooding. All should be using the same source and should use the same source as government. Consider that you may want cumulative data. Potential data sources include: UNOSAT Flood Portal, NRT Global Flood Mapping (for more information about  Recommended Practice: Flood Mapping and Damage Assessment using Sentinel-2 Optical Data. Flood forecasting  Global Flood Awareness System and crop monitoring FEWSNET 

Storm path

All should be using the same source, should use the same source as government

Road access

Identification of road accessibility post-disaster to identify operational routes and constraints. Spatial data is provided by WFP for primary and secondary roads. It is available on WFPs GeoNode instance and via HDX and stored on OSM.

 Earthquake

Pre-crisis dataset theme

Rational as COD

Administrative boundaries

good for an initial estimate of people affected, PiN, used for Operational Presence (3W) and framework for analysis. It should include as many levels as possible and not only be thought of in terms of the 3W. More information here: COD-AB

Population statistics (census)

Should be SADD (Sex and Age Disaggregated Data), should include as many admin levels as possible (the lower the better). More information here: COD-PS

Vulnerable populations

Identification of datasets that provide information about vulnerable populations that exist prior to an emergency (e.g. pregnant/lactating women, people with disabilities, etc) These datasets are a subset of the COD-PS.

Settlements

This is where people live. This will be required for operational purposes and it is even better if population numbers are attached. The IMWG needs to be ‘comfortable’ with the data and accept that it may not be complete or perfect. Should have an independent p-code system to the administrative boundary p-codes to allow for changes to take place with fewer repercussions.

Transportation: Roads, bridges, ports, airports, helipads, ferry crossings

Baseline data related to access and logistics

Elevation

To identify potential landslides, hard to access/remote villages

Hydrology: Rivers, lakes, wetlands

Baseline data to see where flooding may occur or to identify hard to reach locations. If bridges are not available, they could be identified using hydrology layer.

Water basins

Could help identify/refines areas that have the potential of being affected when dealing with floods – (TBC with hydrologist)

Dams

Potential hazard during flooding

Hydro lines

Related to access, if they cross over roads this impacts access to locations - people

Education Facilities

Location of schools for potential operational purposes (evacuation centers, shelter purposes, distribution, collection, etc) and immediate recovery

Health Facilities

Location of health facilities for ….Health zones can sometimes be more important than the COD-AB and should be identified.

Post-event dataset theme

Rational as COD and source if possible

Modified Mercalli Intensity Scale (MMI)

All should be using the same source, should use the same source as government

Precipitation forecast


Road access

Identification of road accessibility post-disaster to identify operational routes and constraints. Spatial data is provided by WFP for primary and secondary roads. It is available on WFPs GeoNode instance and via HDX and stored on OSM.

Other possible CODs 

The following could be considered CODs but even if not if used by partners for their purposes, they ideally should be shared.

Theme

Dataset 

Infrastructure

Land use/cover  (geology)

Infrastructure

Building/housing type

Infrastructure

Telecommunication locations (e.g. towers)

Infrastructure

Oil Refineries (if relevant)

Infrastructure

Sports center (potential shelters/evacuation centers)

Infrastructure

Energy (power, gas, nuclear,  oil, etc.)

Infrastructure

Waste collection sites

Infrastructure

Water treatment site

Infrastructure

Clean water access points

Infrastructure

Markets

Population

Disease profile

Population

Multidimensional Poverty Index

Population

Socioeconomic profiles

Population

Refugees/IDP camps ( if relevant)

Resources

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