Overview

The IASC Guidelines on Common Operational Datasets (CODs) in Disaster Preparedness and Response has been developed to help national authorities and humanitarian organizations exchange data thereby improving the effectiveness of humanitarian response. These guidelines outline the common datasets needed for response in humanitarian emergencies, as well as the governance model for the management of the data (i.e. accountabilities and responsibilities). Key terms are defined to aid understanding of the guidelines; as well as the technical standards to support data quality and interoperability. These guidelines also recognize the primary role of the State affected by disaster to organize, coordinate and implement humanitarian assistance within its territory. To this effect, these guidelines aim to ensure that the CODs support national information systems and standards, build local capacities and maintain appropriate links with relevant Government, State and local authorities. In doing so, humanitarian agencies seek to strengthen, not replace or diminish national efforts, including those of institutions not part of the Cluster Approach or Government. The guidance is designed to be used in conjunction with the IASC Inter-Agency Contingency Planning Guidelines for Humanitarian Assistance and the Operational Guidance on Responsibilities of Cluster/Sector Leads and OCHA in Information Management.

Table of Contents
Common Operational Datasets

Fundamental Operational Datasets

Common Operational Datasets

Below is the current listing of CODs as of 1 March 2011 for North Africa which will be updated on an as needed basis. These datasets are listed by category and represent the best available data for each category based on a rapid comparative analysis by OCHA and UNITAR/UNOSAT. Where possible, a single dataset has been designated for each theme though in several cases multiple datasets are designated to provide the most complete coverage. Note that Additional Datasets of possible use will soon be listed below for further review by the humanitarian and other communities concerned with North Africa.

Please do not hesitate to contact unosat@unitar.org with any questions, suggestions, or corrections to the below list and please credit sources as indicated.

Administrative Boundaries
Country/Region Source Title Abstract Links Date of Dataset
Egypt, Libya, Tunisia UNGIWG Level 0 National Administrative Boundaries Level 0 national administrative boundaries for Egypt, Libya, and Tunisia. Zipped shapefile  
 
Egypt, Tunisia GADM Level 1 Administrative Boundaries Level 1 administrative boundaries for Egypt and Tunisia. Zipped shapefile  
 
Libya UNITAR/UNOSAT Level 1 Administrative Boundaries (Shabiya) of Libya 22 level 1 administrative district (Shabiya) polygons for Libya. Zipped shapefile 1 March 2011
 
 
Populated Places
Country/Region Source Title Abstract Links Date of Dataset
Egypt NGA Settlements 14,583 populated places in Egypt. Explanation for Feature Designation Code (column=DSG) found here. Contains duplicates and alternate spellings. Zipped shapefile 2 February 2011

 
Libya NGA, modified by OCHA. Settlements 810 populated places in Libya. Explanation for Feature Designation Code (column=DSG) found here. Contains no duplicates. Zipped shapefile 16 December 2010

 
Tunisia NGA Settlements 3,891 populated places in Tunisia. Explanation for Feature Designation Code (column=DSG) found here. Contains duplicates and alternate spellings. Zipped shapefile 28 January 2011

 

 
Transportation Network
Country/Region Source Title Abstract Links Date of Dataset
North Africa Logistics Cluster Aerodromes Locations and general info for various types of aerodromes in North Africa Zipped shapefile. March 2011

 
Egypt, Libya, Tunisia Digital Aeronautical Flight Information File Runway polygons and lengths. Runyway polygons and lengths for 744 airports and airfields. Zipped shapefile. 2006

 
North Africa Logistics Cluster Road Network Roads network for North Africa compiled from various sources. Zipped shapefile May 2011

 
North Africa Logistics Cluster Ports Locations and general info for various types of ports in North Africa. Zipped shapefile May 2011
North Africa Logistics Cluster Railway Network Rail network for North Africa compiled from various sources. Zipped shapefile May 2011

 

 
Hypsography
Country/Region Source Title Abstract Links Date of Dataset
Egypt, Libya, Tunisia CIAT/SRTM Elevation (Hypsography) Data from the NASA Shuttle Radar Topography Mission produced by the International Centre for Tropical Agriculture, Version 3. Elevation in meters for North Africa with pyramid layers and statistics. Zipped GeoTif 2006

 

 
Population Statistics
Country/Region Source Title Abstract Links Date of Dataset
Libya Libyan Government Shabiya Census Data 2006 2006 census figures for the 22 shabiya of Libya Zipped shapefile

Excel

Google Spreadsheet
2006

 
Libya World-Gazetteer.com City Populations Estimated 2010 city populations for Libya Excel
 
2010

 
Egypt Columbia University Gridded Population of the World, version 3 Census based gridded population density and other demographic data. GRID, ASCII, and BIL 2005

 
Libya Columbia University Gridded Population of the World, version 3 Census based gridded population density and other demographic data. GRID, ASCII, and BIL 2005

 
Tunisia Columbia University Gridded Population of the World, version 3 Census based gridded population density and other demographic data. GRID, ASCII, and BIL 2005

 
Egypt, Libya, Tunisia Oak Ridge National Labs LandScan 2009 Modeled population density data available via registration and ordering (not immediate download). UN humanitarian groups can obtain LandScan 2008 data for the region by emailing lars.bromley@unitar.org. GeoTif 2009

Fundamental Operational Datasets

                                                                                                                                                      
Country/Region Source Title Abstract Links Date of Dataset
Libya UNITAR/UNOSAT Current Areas of Interest for UNITAR/UNOSAT Satellite Imagery Analysis Information on areas that UNITAR/UNOSAT has acquired and analyzed high-resolution satellite imagery for as well as areas where imagery is in the process of being acquired. Please direct all requests and inquiries to lars.bromley@unitar.org. KML
Google Maps
15 March 2011