A proposed integrated data collection, analysis and sharing platform for impact evaluation

Development Engineering

Evan Thomas¹  Matthew Podolsky²  Jordan Kellerstrass²  Andreas Kipf²  Eric Brewer²  Javier Rosa²  Daniel Wilson²  Waylon Brunette³  Mitchell Sundt³  Gaetano Borriello³ 

[1] Portland State University, Department of Mechanical and Materials Engineering, 1930 SW 4th Ave., Portland, OR 97201, United States;University of California, Berkeley, 450 Sutardja Dai Hall, MC: 1764, Berkeley, CA 94720-1764, United States;University of Washington, 101 Paul G. Allen Center, Department of CS&E, 185 Stevens Way, Seattle, WA 98195-2350, United States;

关键词: Cloud computing;    ICT4D;    Impact analysis;    Provenance;    Global development;   

DOI  :  10.1016/j.deveng.2015.12.002

来源: DOAJ

【 摘 要 】

Global poverty reduction efforts value monitoring and evaluation, but often struggle to translate lessons learned from one intervention into practical application in another intervention. Commonly, data is not easily or often shared between interventions and summary data collected as part of an impact evaluation is often not available until after the intervention is complete. Equally limiting, the workflows that lead to research results are rarely published in a reproducible, reusable, and easy-to-understand fashion for others. Information and communication technologies widely used in commercial and government programs are growing in relevance for international global development professionals and offer a potential towards better data and workflow sharing. However, the technical and custom nature of many data management systems limits their accessibility to non-ICT professionals. The authors propose an end-to-end data collection, management, and dissemination platform designed for use by global development program managers and researchers. The system leverages smartphones, cellular based sensors, and cloud storage and computing to lower the entry barrier to impact evaluation.

【 授权许可】

Unknown