DOI: 10.5281/zenodo.13909412
title: RAW data from Towards Holistic Environmental Policy Assessment: Multi-Criteria Frameworks and recommendations for modelers paper

description: Name: Data used to rate the relevance of each dimension necessary for a Holistic Environmental Policy Assessment.

Summary: This dataset contains answers from a panel of experts  and the public to rate the relevance of each dimension on a scale of 0 (Nor relevant at all) to 100 (Extremely relevant). 

License: CC-BY-SA

Acknowledge: These data have been collected in the framework of the DECIPHER project. This project has received funding from the European Union’s Horizon Europe programme under grant agreement No. 101056898.

Disclaimer: Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.

Collection Date: 2024-1 / 2024-04 

Publication Date: 22/04/2025

DOI: 10.5281/zenodo.13909413

Other repositories: -

Author: University of Deusto

Objective of collection: This data was originally collected to prioritise the dimensions to be further used for Environmental Policy Assessment and IAMs enlarged scope.

Description:



Data Files (CSV)



decipher-public.csv : Public participants' general survey results in the framework of the Decipher project, including socio demographic characteristics and overall perception of each dimension necessary for a Holistic Environmental Policy Assessment.

decipher-risk.csv : Contains individual survey responses regarding prioritisation of dimensions in risk situations. Includes demographic and opinion data from a targeted sample.

decipher-experts.csv : Experts’ opinions collected on risk topics through surveys in the framework of Decipher Project, targeting professionals in relevant fields.

decipher-modelers.csv: Answers given by the developers of models about the characteristics of the models and dimensions covered by them. 

prolific_export_risk.csv : Exported survey data from Prolific, focusing specifically on ratings in risk situations. Includes response times, demographic details, and survey metadata.

prolific_export_public_{1,2}.csv : Public survey exports from Prolific, gathering prioritisation of dimensions necessary for environmental policy assessment.

curated.csv : Final cleaned and harmonized dataset combining multiple survey sources. Designed for direct statistical analysis with standardized variable names.



Scripts files (R)



decipher-modelers.R: Script to assess the answers given modelers about the characteristics of the models.

joint.R: Script to clean and joint the RAW answers from the different surveys to retrieve overall perception of each dimension necessary for a Holistic Environmental Policy Assessment.



Report Files



decipher-modelers.pdf: Diagram with the result of the 

full-Country.html : Full interactive report showing dimension prioritisation broken down by participant country.

full-Gender.html : Visualization report displaying differences in dimension prioritisation by gender. 

full-Education.html : Detailed breakdown of dimension prioritisation results based on education level. 

full-Work.html : Report focusing on participant occupational categories and associated dimension prioritisation. 

full-Income.html : Analysis report showing how income level correlates with dimension prioritisation.  

full-PS.html : Report analyzing Political Sensitivity scores across all participants. 

full-type.html : Visualization report comparing participant dimensions prioritisation (public vs experts) in normal and risk situations.

full-joint-Country.html : Joint analysis report integrating multiple dimensions of country-based dimension prioritisation in normal and risk situations. Combines demographic and response patterns.

full-joint-Gender.html : Combined gender-based analysis across datasets, exploring intersections of demographic factors and dimensions prioritisation in normal and risk situations.

full-joint-Education.html : Education-focused report merging various datasets to show consistent or divergent patterns of dimensions prioritisation  in normal and risk awareness.

full-joint-Work.html : Cross-dataset analysis of occupational groups and their dimensions prioritisation in normal and risk situation 

full-joint-Income.html : Income-stratified joint analysis, merging public and expert datasets to find common trends and significant differences during dimensions prioritisation  in normal and risks situations.

full-joint-PS.html : Comprehensive Political Sensitivity  score report from merged datasets, highlighting general patterns and subgroup variations in normal and risk situations.





5 star: ⭐⭐⭐

Preprocessing steps: The data has been re-coded and cleaned using the scripts provided.  

Reuse: NA

Update policy: No more updates are planned.

Ethics and legal aspects: Names of the persons involved have been removed. 

Technical aspects: 

Other: