Description

This Master Prompt focuses on transforming raw interview recordings and associated field materials into a transparent, secure, traceable and analytically usable interview dataset. It treats transcription, translation, anonymization, metadata preparation and data management as methodological stages rather than clerical tasks because each decision can influence what is preserved, what is omitted and how subsequent interpretation is conducted. Researchers are guided through selecting an appropriate transcription level, assigning speaker identifiers, verifying transcripts, documenting pauses and non-verbal information where methodologically relevant, distinguishing recording content from field observations, protecting participant identities, managing multilingual materials, preserving culturally meaningful expressions, constructing file-naming and version-control systems, and preparing an auditable corpus for coding and analysis.