Data · dataset · 2026
Semi-Structured Interview Protocol for the Practical Validation of the BiogAI-RMF Framework
Listed in Teesside University Research Data Repository
This file contains the semi-structured interview protocol developed to support the qualitative validation of the BiogAI-RMF framework.
Description
The protocol was designed to explore participants’ professional experiences and perspectives concerning risk management in wastewater treatment and biogas production, organisational readiness for artificial intelligence, data availability and quality, governance, explainability, user trust, implementation barriers, and the practical integration of the proposed framework.
The questions were informed by the study’s conceptual model, survey findings and wider literature. The semi-structured format ensured consistency across interviews while allowing relevant issues to be explored in greater depth. Interviews were conducted with professionals possessing relevant operational, technical, managerial, regulatory, safety or digital expertise.
Links
Where it is published
- DOI doi.org/10.17632/ct8snhptfv.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, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/ct8snhptfv.1 | 10 h 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].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 | |
| 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 |