DataSense: Display Agnostic Data Documentation
Summary: DataSense proposes display-agnostic data documentation (DAD): inline, interactive dataset documentation—synthesized from profiling, provenance, and user annotations—embedded into any presentation (tables, graphs, maps, query UIs) to aid discovery and task-relevant lookup. Key novelty: decouple generation of documentation (profiling, provenance summarization, annotation extraction) from modality-specific rendering, enabling reusable IDE-like highlights and mouseover details across heterogeneous data displays. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Poonam Kumari
- 2. Michael Brachmann
- 3. Oliver Kennedy
- 4. Su Feng
- 5. Boris Glavic
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