The Global IMWG Data Sub-group and OCHA-FIS will be working in 2018-2019 to further develop the guidance on country-specific CODs. Please contact FIS if you have suggestions, material or questions.
Potential CODs for Complex Emergencies
The following table provides a list of potential Country-Specific CODs for two types of complex emergencies. An 'X' in the table below indicates that the dataset is likely required. 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.
Dataset types | Conflict type emergency | Drought type emergency |
|---|---|---|
Crisis specific | Shapefile of areas which are not accessible/active conflict zone / Number of square KMs in recent conflict areas that are unsafe to access due to mine contamination / ERWs (UN Missions) | Livestock conditions/drought related # of animal deaths (sheep, cows, goats etc) |
| Number of children associated with armed forces or armed groups (UNICEF) | Livestock disease situation | |
| Roadblocks/checkpoints (UN Missions) | Water points or sources/water availability for domestic use | |
| Cultivated land / crop condition (available through WFP) and FEWSNET | ||
| Normalized Difference Vegetation Index (NDVI) 1 | ||
| Food Commodity prices | ||
| Average rainfall in the country. Flood forecasting Global Flood Awareness System and crop monitoring FEWSNET | ||
| Famine Early Warning Systems Network (FEWSnet data) | ||
| Transport | ||
| Road Networks | x | x |
| Bridges | x | not a priority |
| Railways | x | not a priority |
| Aerodromes (airports, airfields, HLZs | x | x |
| Seaports | if relevant | if relevant |
| Hydrology | not a priority | x |
| Elevation model | x | not a priority |
| Building/housing type | x | x |
| Educational facilities | x | x |
| Health facilities | x | x |
| Multidimensional Poverty Index (MPI) 2 | x | x |
| Integrated Food Security Phase (IPC) | x | |
| Refugee displacement, movement, camps | if relevant | if relevant |
| Operational presence of partners | x | x |
| Spontaneous settlements | x | x |
| Nutrition outreach centres | x | x |
| Telecommunication locations (e.g. towers) | x | x |
| Infrastructure 3 | x | x |
| Disease profile | x | x |
| Markets | x | x |
| Clean water access points | x | x |
| Urban environment (neighbourhoods, etc) | x | |
| Oil Refineries (if relevant) | x |
1 NDVI (normalized difference vegetation index: an indicator to assess whether the target being observed contains live green vegetation or not)
2 Multidimensional Poverty Index (MPI): estimates of the proportion of people per grid square living in poverty. This dataset is available for some countries through WorldPop project
3 Infrastructure: power, gas, nuclear, oil, waste collection sites, water treatment site etc.
Resources
- Identifying a COD flowchart A flowchart that asks questions to help identify id a dataset is a COD
- Data Prioritization Tool A tool that can help prioritize dataset work when there are too many to work on (very helpful at the beginning of a disaster)
- Data lists from Coordinated Data Scramble
- Data sources, resources and possible ideas from MapAction
- Disaster Summary Sheets that list datasets and their use from ACAPS