
doi: 10.1561/1900000068
Data provenance has evolved from a niche topic to a mainstream area of research in databases and other research communities. This article gives a comprehensive introduction to data provenance. The main focus is on provenance in the context of databases. However, it will be insightful to also consider connections to related research in programming languages, software engineering, semantic web, formal logic, and other communities. The target audience are researchers and practitioners that want to gain a solid understanding of data provenance and the state-of-the-art in this research area. The article only assumes that the reader has a basic understanding of database concepts, but not necessarily any prior exposure to provenance.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 25 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
