Dataset for: 'Preprocessing Eye-Tracking Data for Reading: A Community Survey on Practices, Challenges, and Needs'

This dataset contains the results of a community survey on preprocessing workflows, challenges, and needs in eye-tracking research, with a particular focus on reading research. The survey (N = 108) assessed current preprocessing practices, tool usage, documentation strategies, and expectations regarding preprocessing tools, pipelines, and reusable data outputs. The dataset includes the raw survey responses, a response code listing, a variable overview, a codebook describing all variables, the full survey questionnaire, and the categorizations of open-text responses, which were manually coded by the research team. The data can be used to explore current practices in eye-tracking preprocessing, identify common challenges, and inform the development of tools, standards, and FAIR-oriented workflows. This survey is a part of the 'Introducing ORD Best Practices for Eye-Tracking Data (OpenEye)' project funded by swissuniversities, and is furthermore supported by COST Action CA21131 (MultiplEYE). The software and survey server for conducting the online survey were provided free of charge by the SoSci Survey GmbH. unknown