ARPHA Preprints, doi: 10.3897/arphapreprints.e107872
Climate Neutral and Smart Cities, combining data about city people and their physical environment
expand article infoBodil Agasøster‡, Eric Harrison§, Hilde Orten‡
‡ Sikt - Norwegian Agency for Shared Services in Education and Research, Bergen, Norway§ City University of London, London, United Kingdom

Corresponding author: Hilde Orten ( hilde.orten@gmail.com )

© Bodil Agasøster, Eric Harrison, Hilde Orten.
This is an open access preprint distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation: Agasøster B, Harrison E, Orten H (2023) Climate Neutral and Smart Cities, combining data about city people and their physical environment. ARPHA Preprints. https://doi.org/10.3897/arphapreprints.e107872
Open Access
Abstract
The main objective of the Science Project (SP) Climate Neutral and Smart Cities is to demonstrate that environmental data and data about people’s attitudes, behavior and involvement can be combined for social, political and scientific analysis. In the project, scientists from the Social Sciences & Humanities Open Cloud (SSHOC) and Environmental Research Infrastructures (ENVRI) community work together with the aim of producing new and useful outputs for the benefit of the research community, such as indicators related to environmental indices, and methods and workflows for computing them. The environmental variables will be integrated with data from the European Social Survey for a selection of big European city regions. Data and metadata from the project will be accessible through a new prototype application that will be made available as an exploratory “labs” service from the European Open Science Cloud (EOSC) Portal and the EOSC Marketplace. This will allow easy access to cross-domain data for scientific analysis and their provenance, as well as to other deliverables from the project.
Keywords
EOSC Future, Science Projects, Science Clusters, cross-domain metadata, European Social Survey, DDI-CDI