 The importance of open data and software: Is energy research lagging behind?Stefan Pfenninger, Joseph DeCarolis, Lion Hirth (), Sylvain Quoilin and Iain Staffell Energy Policy, 2017, vol. 101, issue C, 211-215 Abstract: 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. Keywords: Modelling; Data; Open source; Open data; Transparency; Reproducibility (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:enepol:v:101:y:2017:i:c:p:211-215 DOI: 10.1016/j.enpol.2016.11.046 Access Statistics for this article Energy Policy is currently edited by N. France More articles in Energy Policy from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.