CMCC Webinar
29 February 2024, 11:30 CET
To join the webinar, register here
Speaker:
Fabrizio Antonio, CMCC – ASC Division
Moderator:
Rita Lecci, CMCC – OPA Division
Abstract
Provenance and reproducibility are two important requirements for analytics workflows in the Open Science landscape. Indeed, handling provenance at different levels of granularity and during the entire experiment lifecycle is key to properly and flexibly manage lineage information related to large-scale experiments as well as enabling reproducibility scenarios. The webinar introduces a multi-level provenance approach in climate workflows, as a way to manage provenance information in a more articulated and multifaceted way and explore data lineage across multiple dimensions, thus providing in-depth knowledge about each step of a climate analytics experiment. The talk summarizes the main outcomes of a scientific publication recently presented by Dr. Fabrizio Antonio at the 2023 IEEE International Conference on Big Data.
WATCH THE VIDEO
HOW TO PARTICIPATE
29 February 2024, 11:30 CET
To join the webinar, register here
ORGANIZED BY:
CMCC