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Help shape how we support GenAI in research data management — take our survey


DARIAH-CH, together with DaSCH, is launching a survey to better understand how Generative AI (GenAI) is being used — and could be better supported — in research data management across the Arts and Humanities.


As GenAI tools become part of everyday research workflows, from transcription and translation to metadata creation and data cleaning, we want to understand how the Arts and Humanities community is actually using them, where the gaps are, and what kind of support would make the biggest difference.


The survey looks at three main things:

  • Adoption — how GenAI is currently being used across different stages of the research data lifecycle, and how that use is expected to change over the next two years

  • Gaps and barriers — what's holding researchers and practitioners back, from lack of skills to concerns about copyright, privacy, or output quality

  • Support needs — where additional training, guidance, or infrastructure would be most valuable, so DARIAH-CH and DaSCH can prioritise the right kind of support going forward


Who should take part

The survey is open to researchers, lecturers, and academic staff in the Arts and Humanities, as well as infrastructure technical staff, data stewards, and data management specialists — anyone whose work touches research data, whether or not they currently use GenAI tools themselves.


How long it takes

The survey takes about 8–10 minutes to complete. All responses are anonymous — no personal information such as name, email, or institution is collected.


Take part


The survey is open until 30 September. If you know colleagues or networks in the Arts and Humanities who might also want to contribute, please feel free to share this invitation with them.


Your input will directly shape how DARIAH-CH and DaSCH support the community — through training, tools, and guidance — as GenAI becomes more embedded in research data management.


For questions about the survey, contact Cristina Grisot.

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