Artikel

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

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.

Sprache
Englisch

Erschienen in
Journal: Development Engineering ; ISSN: 2352-7285 ; Volume: 1 ; Year: 2016 ; Pages: 36-44 ; Amsterdam: Elsevier

Klassifikation
Wirtschaft
Thema
Cloud computing
Global development
ICT4D
Impact analysis
Provenance

Ereignis
Geistige Schöpfung
(wer)
Kipf, Andreas
Brunette, Waylon
Kellerstrass, Jordan
Podolsky, Matthew
Rosa, Javier
Sundt, Mitchell
Wilson, Daniel
Borriello, Gaetano
Brewer, Eric
Thomas, Evan
Ereignis
Veröffentlichung
(wer)
Elsevier
(wo)
Amsterdam
(wann)
2016

DOI
doi:10.1016/j.deveng.2015.12.002
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Kipf, Andreas
  • Brunette, Waylon
  • Kellerstrass, Jordan
  • Podolsky, Matthew
  • Rosa, Javier
  • Sundt, Mitchell
  • Wilson, Daniel
  • Borriello, Gaetano
  • Brewer, Eric
  • Thomas, Evan
  • Elsevier

Entstanden

  • 2016

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