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Data governance and open science in energy planning: A case study of the Kenyan ecosystem
KTH, School of Industrial Engineering and Management (ITM), Energy Technology.ORCID iD: 0000-0001-6591-3028
Department of Engineering Science, University of Oxford, UK.
Institute for Sustainable Resources (ISR), University College London, UK.
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems.ORCID iD: 0000-0001-9367-1791
2024 (English)In: Energy Research & Social Science, ISSN 2214-6296, E-ISSN 2214-6326, Vol. 118, article id 103821Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Elsevier Ltd , 2024. Vol. 118, article id 103821
Keywords [en]
Data governance, Data management, Energy system planning, Kenya, Open data, Open science
National Category
Information Systems Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:kth:diva-356320DOI: 10.1016/j.erss.2024.103821Scopus ID: 2-s2.0-85208091056OAI: oai:DiVA.org:kth-356320DiVA, id: diva2:1912904
Note

QC 20241114

Available from: 2024-11-13 Created: 2024-11-13 Last updated: 2024-11-14Bibliographically approved

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Beltramo, AgneseUsher, William

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