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TitreIntroduction to Paperless Surveys or Electronic Data Collection
AuteurNzabonimba, Jean-Providence
ThèmeElectronic Data Collection
Date de publication2017
ÉditeurACBF
Nombre de pages36
LangueEnglish
Couverture géographiqueAfrica
Mots clésPaperless Surveys, Research Questionnaires, e-data collection, Mobile Data Collection, Mobile Data Collection for Development, African Capacity Building Foundation (ACBF)
RésuméIn an ICT-driven era where all socio-economic transactions have become digital, research and evaluation, i.e. data collection, have to catch up to avoid lagging behind in timely delivery of evidence and results. Electronic data collection for research and evaluation is the form of gathering data without using paper, without having to physically supervise data collection activities. It saves the environment, saves human and financial resources, ensures data quality in real-time and minimize human errors, whether intended or not. The whole world is going digital in most of development and humanitarian programme activities, ACBF like any other foundations and organizations, which are donor-dependent, have more reasons to opt for cost-effective methods to conduct research and evaluation, whether surveys, case studies, focus group discussions, just to name a few. The beginning of e-data collection may seem daunting for “techno-phobia” but the benefits are what every foundation, organization, and donor is looking for. Paperless survey tools have added new quality and efficiency dimension to survey design, such as skip logic, data validation, less cost and real-timeliness. New technologies, such as remote monitoring, satellite imagery, and GPS coordinates collection, provide additional tools for data collection, geo-locating, and identifying beneficiaries. Understanding these digital tools, how to design, deploy, and manage them, is necessary to maximize and add the value to data collection efforts.
Détenteur du copyrightACBF
Copyright URLhttp://www.acbf-pact.org
Taille du fichier1866171 MB
Format du fichierPDF
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