Conveners
Reproducible Open Science: making research reliable, transparent and credible
- Amanda Calatrava (Universitat Politècnica de València)
Description
Reproducibility is a key component of open science, ensuring that scientific findings are reliable, transparent, and credible.
This session will showcase services and tools to support reproducibilty and open science in EGI and EOSC, covering access to reusable data, producing provenance information, delivering reproducible computing environments and facilitating the comparison of results in sets of experiments.
The [ReproVIP][1] project aimed at evaluating and improving the reproducibility of scientific results obtained with the [Virtual Imaging Platform][2] (VIP) in the field of medical imaging. ReproVIP focused on a reproducibility level ensuring that the code produces the same result when executed with the same set of inputs and that an investigator is able to reobtain the published results. We...
Abstract
The Cloud Computing Platform (CCP), developed under the aegis of D4Science [1], an operational digital infrastructure initiated 18 years ago with funding from the European Commission, represents a significant advancement in supporting the FAIR (Findable, Accessible, Interoperable, and Reusable) principles, open science, and reproducible data-intensive science. D4Science has...
Open Science plays an important role to fully support the whole research process, which also includes addressing provenance and reproducibility of scientific experiments. Indeed, handling provenance at different levels of granularity and during the entire analytics workflow lifecycle is key for managing lineage information related to large-scale experiments in a flexible way as well as...
