Data Management Plan
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The project will involve the collection and analysis of multiple forms of data, such as visual attention data, publicly available Twitter data, digital trace data, and quantitative-qualitative data (captured through surveys and interviews). Visual attention data will be captured through the Tobii Eye Tracker, which is a commonly used scientific tool and is already available with the host institution. Twitter data will be collected through the Twitter API, or through open-source web scrapers/packages like ‘snscrape’, and ‘beautiful soup’. Digital trace data will be acquired from the EU-based service ‘Wakoopa’, which works in compliance with GDPR guidelines. Finally, quantitative-qualitative data will be captured through interviews and surveys that will be conducted as part of this work. The captured data will be cleaned and analysed based on state-of-the-art methods published in scientific literature. Once the data has been cleaned and analysed, it will be reviewed and anonymized, before it is uploaded to GitHub and the Open Science Framework (OSF) platform. All generated and collected data will be managed in line with the FAIR principles (Findable, Accessible, Interoperable, Reusable) and documentation on how to find, access, interoperate and reuse the data will be uploaded (in CSV, JSON, or TXT format) on OSF and GitHub to ensure reproducibility. Finally, the corresponding code for analysing the data will also be made available in the public domain (for example via. GitHub), under permissive licenses (such as MIT or CC). A copy of data and code will also be archived at the host institution’s local servers with exclusive access.
Communication, Dissemination & Exploitation Plan
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The project’s findings will be disseminated through multiple modalities. The researcher will regularly post articles and blogs describing the progress of the project (and its findings) on websites such as Medium and subreddits such as r/Science. The articles will be written in lay terms, so they are easy to understand for people without a scientific background. The researcher will also publish articles about the project in the host institute’s magazines and newsletters. To further maximize the impact of the project, the researcher aims to publish perspective articles in prestigious venues such as Nature and Science.To capture other modalities, the researcher will publish videos on YouTube describing/presenting their ongoing work and its results. They will re-post videos of their discussions from publicly available recorded events (like the ones posted by @tedcoggroup225). Finally, they will regularly attend events public such as the Danish Science Festival [April], the Long Night of Sciences [June], the European Researcher’s Night [September], Berlin Science Week [November], and others.All modalities of dissemination will be further publicized through the researcher’s and the host institution’s social media handles on Twitter and LinkedIn.
