From installing and maintaining their ArcGIS servers to supporting modifications to database structure and enriching the database with new layers and linking to external databases, CartONG supports UNHCR in structuring their GIS web-services - in particular their Field Information Coordination and Support Section. CartONG also participates to the discussions in how GIS should evolve in UNHCR in the future.
Here are some of the projects we have been working on:
CartONG also supports CCCM within the FICSS section, and also work on benchmarkings, documentations and training materials.
This project included both the elaboration of Geotagging guideline and Powerpoint map packs for the United Nations' High Commissioner for Refugees (UNHCR) headquarters.Read more »
A CartONG staff member (having completed the Operational Data Management Learning Program as well as the Emergency Information Management Training) was deployed in emergency to Beirut, Lebanon, as Regional Information Manager for the United Nations' High Commissionner for Refugees (UNHCR). The main responsibilities comprised liaising with staff and partners on the ground and managing a public Web Portal for the Syria Regional Refugee Response where up-to-date information was posted on the Syrian displacement in Lebanon, Jordan, Turkey and Iraq.
The portal can be accessed through http://data.unhcr.org/syrianrefugees/regional.php.
CartONG, through a regional WebPortal displaying figures and statistics for the public, helped share reliable, up-to-date information, streamlining the information products from the different operations and their partners, while at the same time finding thebest solutions on reporting and information gathering suitable for the mixed settings.
CartONG has been supporting the Public Health section of UNHCR since 2012 in the implementation of the SENS nutrition surveys (Standardised Expanded Nutrition Survey). The SENS nutrition surveys of UNHCR are deployed in 100 refugees sites each year, 95% of which are conducted on mobile phones. CartONG continuously works on improving the content of the modules of SENS. In 2017, we reviewed the content of the 6 existing modules, and in creating a new one on demographics, which will be deployed in 2018.
In 2018, we focused our support on modifications to the global forms, as well as exploring the way the standardization exercise – where the teams get trained on measuring children – can be made more effective by using MDC. For the new version an Excel tool was built which gets the results in the right order and format through a button and with fewer steps involved. The initial idea for the SENS V3 was to have all household related forms in one, however, after testing this in a pilot in Ethiopia, this idea was abandoned as using the data for analysis became more difficult. Consequently, the household module (demography) is separate and can either be administered with a mortality part or without. The other modules, WASH, Mosquito Net, and Food Security are grouped in a different questionnaire, allowing more flexibility for the surveyors. The child questionnaire was enhanced as well.
Our support also involves field training workshops as well as implementation missions.
Additionally, CartONG developed in 2015 the SENS Mapper which maps out SENS survey results. Since then, CartONG has continued working and improving the mapper by adding indicators in 2016, and by making the mapper available online in 2017 as well as adding extra features to improve the user experience.
Our staff worked for the United Nations High Commissioner for Refugees (UNHCR) in Uganda, doing creation and maintenance of return monitoring database, collection and compilation of GPS coordinates, production of maps, and capacity building of local staff.Read more »
CartONG compiled the Statistical Analysis from data out of the UNHCR Refugee database with graphs and charts as a booklet on all MENA countries with Iraqi refugees.
The support team of the Iraq project of UNHCR needs regular updated information: new refugees arrivals and departures from host country. This information is collected and partly consolidated by UNHCR teams in the Iraq bordering countries (Turkey, Syria, Egypt, Lebanon, Jordan and Iran).
CartONG’s role was to participate in the strengthening of this database (300000 refugees) and to analyse their features (age, gender, religion, province of origin, ethnic group, date of arrival, waiting time before registration of UNHCR…) depending on their country. The first analysis has been done with data dating from December 2008 whereas the second one has been done with data dating from June 2009. A mission in Jordan was taking place last spring for two technicians in order to work on data feed and strengthening of the registration database of UNHCR with an expert. Data management is all the more difficult that the programme is managed with remote sensing.
Once the database has been consolidated, analyse can begin and graphic and map renderings can be done. Data statistical analysis and their mapping to the scale of bordering countries, provinces and Baghdad enable the representation and the summary of data for future planning. Moreover, a Google Earth file for awareness and monthly updated files with basic thematic analysis are provided for the needs of the agency.
Analysis of registration data of Iraqi refugees in neighboring countries
As the situation in Iraq stabilizes, it becomes possible to manage the humanitarian response from within the country, as opposed to the current approach of managing from outside Iraq. Some international NGOs have opened new offices, as Iraqis, particularly those from the north are returning home. A constant challenge agencies attempting to aid these moving populations is how to get reliable and usable information. CartONG was commissioned by the UNHCR to analyze the data of registered refugees in the registration databases for Turkey, Jordan, Syria, Islamic Republic of Iran, Egypt and Lebanon.
CartONG then used this analysis to compose a narrative document for submission to the UNHCR donors.
Download: Iraqi Refugees Statistical Analysis
Data mining, compiling and editing geographic data in an urban context to map the extent and service locations of the urban refugee population.
Production of screencasts explaining the use of the UNHCR Geoportal for non-technical staff