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Provenance for Data-Intensive Systems

Project description

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

ERC-2018-STG
See other projects for this call

Funding Scheme

ERC-STG - Starting Grant

Host institution

TEL AVIV UNIVERSITY
Address
Ramat Aviv
69978 Tel Aviv
Israel
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 1 306 250

Beneficiaries (1)

TEL AVIV UNIVERSITY
Israel
EU contribution
€ 1 306 250
Address
Ramat Aviv
69978 Tel Aviv
Activity type
Higher or Secondary Education Establishments