ProDIS
Financiado
Provenance for Data Intensive Systems
In the context of data-intensive systems, data provenance captures the way in which data is used, combined
and manipulated by the system. Provenance information can for instance be used to reveal whether
data was illegitimately us...
In the context of data-intensive systems, data provenance captures the way in which data is used, combined
and manipulated by the system. Provenance information can for instance be used to reveal whether
data was illegitimately used, to reason about hypothetical data modifications, to assess the trustworthiness
of a computation result, or to explain the rationale underlying the computation.
As data-intensive systems constantly grow in use, in complexity and in the size of data they manipulate,
provenance tracking becomes of paramount importance. In its absence, it is next to impossible to follow the
flow of data through the system. This in turn is extremely harmful for the quality of results, for enforcing
policies, and for the public trust in the systems.
Despite important advancements in research on data provenance, and its possible revolutionary impact,
it is unfortunately uncommon for practical data-intensive systems to support provenance tracking. The
goal of the proposed research is to develop models, algorithms and tools that facilitate provenance
tracking for a wide range of data-intensive systems, that can be applied to large-scale data analytics,
allowing to explain and reason about the computation that took place.
Towards this goal, we will address the following main objectives: (1) supporting provenance for modern
data analytics frameworks such as data exploration and data science, (2) overcoming the computational
overhead incurred by provenance tracking, (3) the development of user-friendly, provenance-based analysis
tools and (4) experimental validation based on the development of prototype tools and benchmarks.
ver más
Duración del proyecto: 84 meses
Fecha Inicio: 2018-11-13
Fecha Fin: 2025-11-30
Fecha Fin: 2025-11-30
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2018-11-13
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
ERC-2018-STG:
ERC Starting Grant
Cerrada
hace 7 años
Presupuesto
El presupuesto total del proyecto asciende a
1M€
Líder del proyecto
TEL AVIV UNIVERSITY
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
250.03K€ |
Participante