Data · dataset · 2026
Anonymised Interview Transcripts for the Qualitative Validation of the BiogAI-RMF Framework
Listed in Teesside University Research Data Repository
This dataset contains nine anonymised transcripts generated from semi-structured interviews conducted to support the qualitative validation of the BiogAI-RMF framework.
Description
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.
Links
Where it is published
- DOI doi.org/10.17632/rbd7m8d2p5.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
Provenance · 1 source records, 16 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/rbd7m8d2p5.1 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:350208 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Risk Management'] |
| concepts[field].anzsrc:group:4004 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Chemical Engineering'] |
| concepts[field].anzsrc:group:4602 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Artificial Intelligence'] |
| concepts[field].local:field:chemistry | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:energy | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |