Data governance and open science in energy planning

A case study of the Kenyan ecosystem

Bibliographic Data

ID13064235
AuthorsAgnese Beltramo (0000-0001-6591-3028, KTH Royal Institute of Technology, corresponding author), Alycia Leonard (0000-0002-7072-9150, University of Oxford), Julia Tomei (0000-0002-2156-1603, Centre for Sustainable Energy), Will Usher (0000-0001-9367-1791, KTH Royal Institute of Technology)
Year2024
Volume118
Pages103821-103821
Publication date2024-11-06
Open AccessYes
TypeARTICLE
VenueEnergy Research & Social Science (JOURNAL)
Journal identifiersISSN: 2214-6296 • E-ISSN: 2214-6326
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.erss.2024.103821
OpenAlexW4404216758
LanguageEN
Citations received3
References cited31

There is growing recognition of the need for openness in the governance and management of long-term energy systems planning, including improving data accessibility to inform the planning process. Open data principles offer a way to manage and govern this process more collaboratively and transparently, but they are challenging to implement particularly in resource-constrained and decentralised planning contexts like low- and middle-income countries. For this reason, this paper assesses the viability of open data practices for enhancing transparency and collaboration in energy planning, using Kenya as a case study. Through qualitative analysis of policy documents and stakeholder interviews, this study evaluates the alignment and divergence between internationally accepted values and principles of open science and open data and Kenya's energy planning needs. What emerges is a contrasting picture. The results show that, while open approaches to energy data are theoretically promising for addressing current energy data challenges in Kenya, stakeholders show limited agreement or understanding of practical implementation pathways. These findings aim to support Kenyan stakeholders and decision-makers involved in the ongoing long-term planning process under the Integrated National Energy Plan

Biology · Business · Corporate governance · Economics · Ecosystem · Energy (signal processing · Environmental planning · Environmental resource management · Geography · Kenya · Natural resource economics · Physics · Political science · Environmental Science · Research Data Management Practices · Scientific Computing and Data Management · Water-Energy-Food Nexus Studies · Ecology

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