p-changecolor.jpg

Data-preparedness Ecosystem

Field Enumerators
Can we build a system that allows us to generate data from the community itself?

Or will we continue waiting and investing in international humanitarian organisations to run needs assessments in communities that are not their own?

“It is now widely recognised that marginalised communities do not figure in the available national-level datasets. Filling data gaps doesn’t just mean disaggregating the data we have, in many cases it means collecting new data via new processes. It means we must look to and invest in citizen- and community-generated data from civil society organisations who represent marginalised communities and can reach them, to understand if we are on track to realise the SDGs and deliver on the principle of leaving no one behind.”

Harpinder Collacott , Annie Namala, Javier Carranza Tresoldi, nov. 2021

Fields Data is creating a roster (pool of trained and qualified experts in a given field) of Field Enumerators (FE) ready to be deployed (in their country) in case disaster.

During the time the FE are not active/deployed, information on the status of the Ecosystem will be retrieved and their trainings will be recycled if necessary.

Deployement process in case of disaster

The entire roster will receive an alert with the information available on the natural disaster and the data collection work needed. Roster members will declare their availability or not.

From among the available members, those closest to the disaster area and those whose profile best fits the work required. Data collection will begin as soon as possible to determine what the impact of the disaster is/has been and to identify the most pressing needs of the affected communities.

The information gathered is transmitted in real time to the DA team to draw conclusions and share them with the humanitarian community.

Requirements for being FE:

  1. Training path fulfilled (Mobile data collection training, etc.)

  2. Fluent in one official language of the country

  3. Fluent in one of the following languages (english/french/spanish)

  4. Have a territorial knowledge of the area of work

  5. Have a smartphone

  6. Share Fields Data’s principles of collaboration, transparency and efficiency

  7. Driver's license or ability to move independently