Article (Scientific journals)
The importance of open data and software: Is energy research lagging behind?
Pfenninger, Stefan; DeCariolis, Joseph; Hirth, Lion et al.
2017In Energy Policy
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Keywords :
Modelling; Data; Open source; Open data; Transparency; Reproducibility
Abstract :
[en] Energy policy often builds on insights gained from quantitative energy models and their underlying data. As climate change mitigation and economic concerns drive a sustained transformation of the energy sector, transparent and well-founded analyses are more important than ever. We assert that models and their associated data must be openly available to facilitate higher quality science, greater productivity through less duplicated effort, and a more effective science-policy boundary. There are also valid reasons why data and code are not open: ethical and security concerns, unwanted exposure, additional workload, and institutional or personal inertia. Overall, energy policy research ostensibly lags behind other fields in promoting more open and reproducible science. We take stock of the status quo and propose actionable steps forward for the energy research community to ensure that it can better engage with decision-makers and continues to deliver robust policy advice in a transparent and reproducible way.
Disciplines :
Energy
Author, co-author :
Pfenninger, Stefan
DeCariolis, Joseph
Hirth, Lion
Quoilin, Sylvain  ;  Université de Liège > Département d'aérospatiale et mécanique > Systèmes énergétiques
Staffell, Iain
Language :
English
Title :
The importance of open data and software: Is energy research lagging behind?
Publication date :
February 2017
Journal title :
Energy Policy
ISSN :
0301-4215
eISSN :
1873-6777
Publisher :
Elsevier Science
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 09 December 2016

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