Access to data is critical for informed decision-making and drawing solid conclusions for scientists, innovators, and researchers worldwide. The EVIDENT project recognizes this need and is sharing its research results and data with all stakeholders while safeguarding participants’ privacy and confidentiality. The EVIDENT Deliverable D5.4 Updated Data documentation provides an overview of EVIDENT datasets, descriptions, licensing, and other relevant information. EVIDENT datasets adhere to open data policies, which are crucial for transparency and collaboration, especially among researchers.
Additionally, the datasets are available through online data repositories, such as Zenodo, Mendeley Data, and IEEE DataPort. These repositories allow researchers to store, share, and access large amounts of data, adhering to open data and other principles. These platforms support data sharing, assigning DOIs, providing metadata, data interoperability, standardization, and ensure long-term data preservation. APIs have made life even easier for researchers as they help automate data retrieval and analysis.
The EVIDENT projects prioritizes data ethics and privacy, which are fundamental aspects of all Horizon projects. The project ensures that all research activities are conducted responsibly, transparently, and with the utmost integrity, promoting stakeholder trust and engagement. For example, all EVIDENT research methods, data collection and storage are in compliance with the EU General Data Protection Regulation (GDPR) for ensuring data privacy and for protecting human subjects. All aspects of the EVIDENT project have received pre-approval of (research) ethics committees (Horizon, and consortium partners’ committees), while EVIDENT ethics and data protection officers constantly monitor the project’s activities.
EVIDENT Serious Games Dataset
The EVIDENT Serious Games Dataset [1] includes the data collected in the context of the EVIDENT Consumer Appliance Replacement Game. The experiment consists of the following sections:
- Demographic information;
- Financial literacy;
- Environmental literacy;
- The EVIDENT Serious Game.
The dataset is expected to be updated till the end of the project. There are no access restrictions, however an attribution is recommended as “Delemere, Emma, Liston, Paul, Karypidis, Paris-Alexandros, & Pragidis, Ioannis. (2023). EVIDENT H2020 – EVIDENT Serious Games Dataset (0.1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7956164”. The EVIDENT serious game can be found at the following locations:
EVIDENT Discrete Choice Experiment Dataset
The EVIDENT Discrete Choice Experiment Dataset [2] includes the data collected in the context of the EVIDENT Average Price Bias experiment. The experiment consists of five discrete key sections:
- A section about participant’s demographic data;
- A small set of questions related to behavioural biases;
- A set of questions related to financial literacy;
- A section with questions related to environmental literacy;
- The choice experiment about price perceptions.
The initial version of the dataset includes only 8 replies (28.5 KB), however till the end of the project, the dataset will be updated with all replies that will be collected (around 0.10 GB). For more EVIDENT datasets please visit Zenodo, here.
Open data principles in action
Whenever possible, the EVIDENT datasets are provided under Creative Commons Attribution 4.0 (see https://creativecommons.org/about/cclicenses/) and according to the FAIR principles:
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Findable: Making research data findable by both humans and machines. Additionally, metadata describing the data, such as the author, title, and creation date, should be provided. The metadata should be machine-readable and standardized to enable efficient search and retrieval.
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Accessible: Making data openly accessible. Research data should be available to humans and machines, under clearly defined conditions of use, in an appropriate format for reuse.
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Interoperable: Making data interoperable. The data should be structured and formatted to enable integration with other datasets. Additionally, data should be available in a format that allows for automated processing, such as through application programming interfaces (APIs).
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Reuse: Increasing data reuse. The data should be able to be used for multiple purposes beyond the original research for which it was created.
The FAIR principles have been adopted or are recommended by several organisations such as the European Open Science Cloud (EOSC), Environmental Systems Research Institute (ESRI), European University Association, Research Data Alliance (RDA), and are included in the Open Data Policy (https://open-research-europe.ec.europa.eu/for-authors/data-guidelines#fairdata). Additionally, an overview of the Horizon 2020 mandates for data are available here. More information on the EVIDENT datasets licensing, research ethics, privacy statements, etc. are available in EVIDENT Deliverable D5.4 Updated Data documentation.
Collect your own data through the EVIDENT Platform
The EVIDENT Platform provides the opportunity for researchers, policymakers, community members and individuals to design surveys and participate in data-driven research. It is free and easy to use, and allows for tailor made features.
Leverage the EVIDENT Platform to engage diverse stakeholders and amplify the influence of your research. Our platform offers a variety of research methodologies: questionnaire creation, integration with serious games, study sharing, and data collection.
References
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Delemere, Emma, Liston, Paul, Karypidis, Paris-Alexandros, & Pragidis, Ioannis. (2023). EVIDENT H2020 – EVIDENT Serious Games Dataset (0.1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7956164
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Pragidis, Ioannis, & Karypidis, Paris-Alexandros. (2023). EVIDENT H2020 – Average Price Bias Dataset (0.1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7825632