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Language Data across Disciplines

 

 

Introduction

Thank you for participating in this survey. The survey explores current skills, workflows, and challenges in managing language data across disciplines. The aim is to identify gaps in Open Research Data (ORD) practices and develop training materials tailored to disciplinary contexts. The results will help identify relevant skills, tools, formats, and support needs for researchers working with language data.

In this survey, “language data” refers to any material that contains or represents written, spoken, or signed language, including multimodal forms involving multiple modes of communication such as text, audio, visual material, or gesture. It also includes language-related behavioural and physiological data collected during language production, comprehension, or interaction (e.g., eye-tracking data, reading times, EEG/ERP recordings).

Project background: The Language Data Across Disciplines (LaDaD) project strengthens ORD practices in Switzerland for researchers working with language data across fields. LaDaD promotes ethical, sustainable, and FAIR-aligned data management and supports researchers through practical competencies, tools, and networks. It is a collaboration between CLARIN-CH, ZHAW, UZH, USI and Bern University Library. Link to project website: https://clarin-ch.ch/about/projects/ladad/

For more information about how we process your data and your data privacy rights, please contact us at contact@clarin-ch.ch.

The survey will take about 20 minutes.

There are 35 questions in this survey.
This survey is anonymous.

The record of your survey responses does not contain any identifying information about you, unless a specific survey question explicitly asked for it.

If you used an identifying access code to access this survey, please rest assured that this code will not be stored together with your responses. It is managed in a separate database and will only be updated to indicate whether you did (or did not) complete this survey. There is no way of matching identification access codes with survey responses.

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