Work

The More the Merrier: Boost Your Dataset Visibility and Discover Eye-Tracking Datasets with pymovements

Year: 2025

Type: dataset

Abstract: Eye movement research is often obstructed by the time-consuming challenges of accessing and preprocessing datasets, diverting efforts from scientific discovery. Researchers often struggle with non-standardized data formats, incomplete metadata, and scattered dataset repositories. Moreover, visibility of tediously collected and curated datasets is hindered without central aggregators that reference these valuable works. pymovements addresses these shortcomings by providing researchers with a seamless way to announce, discover, download, and process published eye movement datasets. We researchers to contribute their eye-tracking datasets to our library to increase their visibility and impact.

Source: Zurich Open Repository and Archive (University of Zurich)

DOI: 10.5167/uzh-278287

Authors: Krakowczyk, Daniel G, Reich, David Robert, Säuberli, Andreas, Škrjanec, Iza, Cretton, Isabelle C R, Jakobi, Deborah N, Nisioi, Sergiu, Prasse, Paul, Jäger, Lena A

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6948681734

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