Abstract
This dataset contains nine anonymised transcripts generated from semi-structured interviews conducted to support the qualitative validation of the BiogAI-RMF framework. Participants represented relevant operational, technical, managerial, safety, environmental, regulatory and digital perspectives associated with wastewater treatment and biogas production. The interviews explored current risk-management practices, AI readiness, data quality, governance, explainability, user trust, implementation barriers and the practical integration of the proposed framework. The transcripts represent the qualitative source data prior to formal coding and thematic analysis. Direct identifiers were removed and participants were assigned anonymous identification codes. Any minor transcription corrections were limited to improving readability without altering the intended meaning of participants’ responses.