Open data sets
In this section we publish all datasets that were developed during the R&D activities of the project.
The data sets are available for use of any interested party.
This document presents the T1.1 Systematic Literature Review Dataset, which was collected for the VERITY project, on the topic of ‘trust in science’, based on a total of 83 articles which provide empirical results from various scientific disciplines (e.g., social and educational psychology, medicine, science education, science communication).
The methodology for the completion of the Systematic Literature Review was based on the PRISMA protocol, which provides an evidence-based minimum set of criteria for reporting in systematic reviews and meta-analyses.
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This document constitutes a part of the D1.4 Social Network Analysis and includes the literature review that was conducted to investigate the methodologies used for addressing the topic of trust in science in Online Social Networks (OSNs). This review contains studies that have approached the topic of trust in science from different perspectives in OSNs examining both data from OSNs and suveys related to OSNs providing useful insights about the factors that influence public trust in science. Important findings are derived from the literature review that affect public’s trust in science, such as the political ideology, educational level, and cultural factors. Also, different methods of the studies are described such as the analysis of the text of the messages, the reactions of users, and deep learning techniques. The findings of the literature review are provided to the final document of D1.4 as they address the further analysis of the Task 1.4 Social Network Analysis
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This document presents the T3.1 Systematic Literature Review Dataset, which was collected for the VERITY project, to identify and categorise the evidenced-based approaches to tackle mistrust in science. This dataset includes reference information of 19 articles that were systematically selected by conducting the Preferred Items for Systematic Reviews and Meta-Analyses (PRISMA) search strategy.
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This supporting dataset of D3.3 Report on the Vignette study reflects the results of a vignette survey study carried out in four European countries (Austria, Cyprus, Greece and Spain) with 155 citizens. Our objective was to explore whether methods addressing societal mistrust in science that were identified in previous VERITY deliverable D3.2 (Focus groups with Stewards of Trust investigating and evaluating methods to guide trust in science) work differently for two citizen groups with varying levels of trust in science. Our main assumption was that four key methods identified in D3.2, namely science communication, co-creation, benefit sharing and social media, would work differently for Group 1, consisting of younger (18-30 old), more educated, urban citizens, and for Group 2, consisting of older (50+ old), less educated, rural citizens.
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This document presents a summary of the collection of 100 Recommendations for Fostering Trust in Science, developed within the VERITY project. This dataset includes information prepared for the D4.2 Protocol of recommendations presented in a schematic way and lists the recommendations by key strategies for fostering Trust in Science and also by Stewards of Trust categories.
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A substantial number of projects and initiatives related to the VERITY topics were explored within the WP2 and carefully mapped through in-depth research and analysis conducted by VERITY partners since the project’s start. The goal was to identify projects and initiatives that, directly or indirectly, foster trust in science, from promoting responsible research and innovation (RRI) and open science to ensuring ethical use of emerging technologies and navigating research in times of crisis. While diverse in focus, all listed projects and initiatives engage with key aspects that support trust in science. Each reflects one or more of the six core strategies defined by VERITY as central to fostering it.
In addition to the mapping of these projects, VERITY has helped shape a growing community by bringing them together in annual online meetings to share experiences, tackle shared challenges, and explore new opportunities. These exchanges have focused on building trust, involving stakeholders, and connecting science with policy.
Together, these projects are not only a comprehensive dataset of cluster projects, but also form a dynamic and evolving community of practice committed to strengthening trust in science across Europe and beyond.
For easier search and reference we digitalized this dataset into interactive data-base where you can discover and connect with the featured projects and initiatives: