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Understanding How open data could impact resource allocation for
poverty eradication in Kenya and Uganda
Development initiatives, www.devinit.org and Development Research and Training, www.drt-ug.org
Introduction and Background
While the open data movement is relatively new in East Africa, the issues that it seeks to address are age-old.
They include transparency, accountability, equity, relevance and responsiveness to community needs, and
effectiveness and efficiency of governance systems and processes. A key purpose of this increasingly popular
approach is to make local, regional and national data, particularly publicly acquired data, available, accessible,
and useable for a wide cross-section of development actors.
The study set out to answer two broad questions:
1.  How are open data initiatives contributing to poverty eradication through impact on resource allocation, and
2.  How could the contribution of open data initiatives to poverty eradication and resource allocations be
strengthened?
The study also sought to develop knowledge and action that would enhance the potential of open data to foster
greater transparency and accountability, better economic efficacy and efficiency and greater inclusion and
empowerment of marginalised groups
Methods and approach 
In order to assess the role of open data in resource
allocation for poverty eradication in Kenya and Uganda, we
adopted a holistic “ecosystem” analytical framework which
avers that in order for open data to yield effective outcomes
for citizens it will on one hand be interlinked with key nodes
and actors in the data-information-analysis-policy value
chain. Semi-structured interviews with major stakeholders
and desk reviews were the main data collection tools.

Evidence and findings
A. Drivers of Open data in Kenya and Uganda
















B. Barriers 



Conclusions & recommendations
In both countries, there was no clear link between open
data and resource allocation as allocation tends to be
driven more by political consideration than by evidence
adduced from open data. The potential however, was
greatly evident from robust legal and policy frameworks,
rapidly growing ICT sectors and a gradually shifting
attitudes of both governments towards open data .There is
need for open development pioneering institutions and
stakeholders to work closely with governments and
leverage these possibilities.

www.opendataresearch.org



Citation information: Charles Lwanga-Ntale, Beatrice Mugambe , Bernard Sabiti & Peace Nganwa, 2014:
Understanding How open data could impact resource allocation for poverty eradication in Kenya and
Uganda: Development initiatives and Development Research and Training

Charles Lwanga Ntale (charles.lwanga-ntale@devinit.org), Beatrice Mugambe (bmugambe@drt-ug.org)
Bernard Sabiti (bsabiti@drt-ug.org), Peace Nganwa (peace.nganwa@devinit.org)

Credits
The funding for this work has been provided through the World Wide Web Foundation 'Exploring the Emerging Impacts of
Open Data in Developing Countries' research project, supported by grant 107075 from Canada’s International
Development Research Centre (web.idrc.ca). Find out more at www.opendataresearch.org/emergingimpacts
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Understanding How open data could impact resource allocation for poverty eradication in Kenya and Uganda

  • 1. Understanding How open data could impact resource allocation for poverty eradication in Kenya and Uganda Development initiatives, www.devinit.org and Development Research and Training, www.drt-ug.org Introduction and Background While the open data movement is relatively new in East Africa, the issues that it seeks to address are age-old. They include transparency, accountability, equity, relevance and responsiveness to community needs, and effectiveness and efficiency of governance systems and processes. A key purpose of this increasingly popular approach is to make local, regional and national data, particularly publicly acquired data, available, accessible, and useable for a wide cross-section of development actors. The study set out to answer two broad questions: 1.  How are open data initiatives contributing to poverty eradication through impact on resource allocation, and 2.  How could the contribution of open data initiatives to poverty eradication and resource allocations be strengthened? The study also sought to develop knowledge and action that would enhance the potential of open data to foster greater transparency and accountability, better economic efficacy and efficiency and greater inclusion and empowerment of marginalised groups Methods and approach In order to assess the role of open data in resource allocation for poverty eradication in Kenya and Uganda, we adopted a holistic “ecosystem” analytical framework which avers that in order for open data to yield effective outcomes for citizens it will on one hand be interlinked with key nodes and actors in the data-information-analysis-policy value chain. Semi-structured interviews with major stakeholders and desk reviews were the main data collection tools. Evidence and findings A. Drivers of Open data in Kenya and Uganda B. Barriers Conclusions & recommendations In both countries, there was no clear link between open data and resource allocation as allocation tends to be driven more by political consideration than by evidence adduced from open data. The potential however, was greatly evident from robust legal and policy frameworks, rapidly growing ICT sectors and a gradually shifting attitudes of both governments towards open data .There is need for open development pioneering institutions and stakeholders to work closely with governments and leverage these possibilities. www.opendataresearch.org Citation information: Charles Lwanga-Ntale, Beatrice Mugambe , Bernard Sabiti & Peace Nganwa, 2014: Understanding How open data could impact resource allocation for poverty eradication in Kenya and Uganda: Development initiatives and Development Research and Training Charles Lwanga Ntale (charles.lwanga-ntale@devinit.org), Beatrice Mugambe (bmugambe@drt-ug.org) Bernard Sabiti (bsabiti@drt-ug.org), Peace Nganwa (peace.nganwa@devinit.org) Credits The funding for this work has been provided through the World Wide Web Foundation 'Exploring the Emerging Impacts of Open Data in Developing Countries' research project, supported by grant 107075 from Canada’s International Development Research Centre (web.idrc.ca). Find out more at www.opendataresearch.org/emergingimpacts This  work  is  licensed  under  a  Crea2ve  Commons  A6ribu2on  4.0  Interna2onal  License.