DAIS-C: Discussing Abstract Ideas in Schizophrenia Corpus
The DAIS-C dataset is a specialised corpus of naturalistic spoken language collected from individuals diagnosed with schizophrenia and non-clinical comparison participants. It supports qualitative and quantitative research into language, cognition, creativity, and the structure of discourse under psychosis-related conditions.
View dataset on ReShare (UK Data Service)This link opens the official ReShare UK Data Service record for the DAIS-C corpus.
Datasets
Overview
The DAIS-C corpus comprises unstructured naturalistic interviews conducted with 15 participants diagnosed with schizophrenia and 14 non-clinical speakers. True-verbatim transcription conventions were used to preserve linguistic nuance while keeping the transcripts readable and analytically usable.
Methodology
Participants were recruited through clinical services and non-clinical comparison pools. Interviews centre on abstract discussion and linguistic creativity tasks, enabling analysis of semantic structure, cohesion, and discourse organisation across groups. Interviewer speech is included to support interactional and pragmatic analysis.
Use and access
The DAIS-C dataset is openly accessible via the UK Data Service’s ReShare platform. Documentation and data bundles are available for download under open access terms. Researchers are encouraged to consult the ReShare record for licensing, citation guidance, and versioning information.
Related research
DAIS-C underpins work in psycholinguistics, clinical linguistics, and studies of formal thought disorder and creativity in schizophrenia. It connects methodologically to research examining how meaning, coherence, and novelty are maintained or strained under cognitive and experiential pressure.