QualityTrails: Data Quality Provenance as a Basis for Sensemaking

TitleQualityTrails: Data Quality Provenance as a Basis for Sensemaking
Publication TypeConference Paper
Year of Publication2014
AuthorsBors, C., T. Gschwandtner, S. Miksch, and J. Gärtner
EditorsXu, K., S. Attfield, and T. J. Jankun-Kelly
Conference NameProceedings of the IEEE VIS Workshop on Provenance for Sensemaking
Pages1–2
Keywordsanalytic provenance, data provenance, data quality, quality metrics, sensemaking, visual data analysis
Abstract

Visual Analytics prototypes increasingly support human sensemaking through providing Provenance information. For data analysts the challenge of knowledge generation starts with assessing the quality of a data set, but Provenance is not yet utilized to aid this task. This position paper aims at characterizing the complexity of Visual Analytics methods introducing Provenance in Data Quality by highlighting the challenges of (1) generating Provenance from Data Quality Control and (2) sensemaking based on Data Quality Provenance.

Notes

Vortrag: IEEE VIS Workshop on Provenance for Sensemaking, Paris; 2014-11-10

URLhttp://publik.tuwien.ac.at/files/PubDat_233317.pdf
AttachmentSize
workshop_provenance_poster_final.pdf979.52 KB
Internal projects: 
Data Quality
Funding projects: 
CVAST