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Digitalization Process of Effective Data Collection

Data is an extremely important component with relation to gaining insights about a specific topic, study, research, or even people. Data is collected through several methods such as experiment, survey, observation or interview/focus groups. Sources of data are gathered from sectoral surveys, economic statistics, administrative data, civil registration, environmental data, and geospatial data. 

Remote Data Collection

In 2017, a study on the relationship between data and society development highlighted that data is the key to tracking meaningful progress in societies (Source: OECD, Data For Development). For this, data has to be conveniently available, accessible, safely stored, usable, refined, and relevant. Key specifics of data scarcity in many developing countries include the following:

 

  1. Lack of relevant data surrounding the Sustainable Development Goals (SDGs), 

  2. Lack of disaggregated data (even when data is available), 

  3. Lack of adequate funding for efficient data collection, 

  4. Lack of national statistical legislation particularly in developing countries (Source: OECD, Data For Development).

 

While facing these challenges in 2021, MEI had to adjust its usual strategies and rely on digital tools. In this article, we are happy to share these strategies.  

 

Online Interviews: The use of online tools to communicate with identified key stakeholders is not a new exercise but has become more common. MEI has been able to save required traveling time and costs with online conference tools (Webex, Zoom, or Google Meeting). The interview can be recorded for optimal preparation of the minutes once the stakeholders give consent.
 

In the meetings, questions derived from missing information or context about the subject in context are the primary focus of the interview and the information received is processed into minutes and contextualized into the reporting framework.

Integration of Digital Tools In Data Collection

Survey App: Based on the Terms of Reference (TOR) and missing information, survey questions were encoded using surveyCTO. The excel-encoded questions are adapted to an app environment to facilitate data collection and automatically save the data responses in comma-separated files (CSV) easy for analysis. MEI contracted local consultants in Nigeria and Tanzania to conduct the surveys through rented tablets. 
 

In a UNIDO project in Nigeria, 20 data collectors completed over 480 surveys in four cities within three working days. Here in Berlin, MEI could track the completed surveys in Nigeria and the responses were evaluated using numerous excel formulas and transfigured into graphs.

Development and Utilisation of SurveyCTO App

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