From coded segments to a living matrix | DATASPHERES AI - Dataspheres AI

Supports Module 5 objectives; aligned to CLO 5. Datasets are typed tables (text, select, number, date) readable by every other artifact. Two standard datas...

Supports Module 5 objectives; aligned to CLO 5. Datasets are typed tables (text, select, number, date) readable by every other artifact. Two standard datasets for a qualitative study: Coded-segments matrix — one row per application: document, site, language, theme, code, quote, memo, confidence. Cross-case comparison reduces to filtering. Participant profiles — one row per participant under the stated-only rule: record only what the participant said, with a verbatim evidence quote per field; record "not stated" otherwise. Do not infer age from context or nationality from language. The datasets surface - typed schemas, row counts, everything chartable and chattable. Survey imports CSV exports, including Qualtrics files with multiline quoted fields, load into datasets. Open-text survey answers can enter the same coding pipeline as transcripts, producing a single mixed-methods matrix.