New tools to assess data reliability
Imagine a world where computation results are accounted for and explained: systems would be transparent and controllable, and the results credible and reusable. Data provenance or tracking is the ability to track information to the original source and assess the reliability of the information or the source. The EU-funded ProDIS project will develop models, algorithms and tools that facilitate provenance tracking for a wide range of data-intensive systems. It will support the provenance for data exploration and data science, as well as other data analytics frameworks. It will also address the computational overhead incurred by provenance tracking. ProDIS also aims to develop a user-friendly tool for provenance-based analysis and experimental validation based on the development of prototype tools and benchmarks.
Field of science
- /natural sciences/computer and information sciences/data science
- /natural sciences/computer and information sciences/data science/data analysis
Call for proposal
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