Data management plan Open Access

CINECA: Data Management Plan v.1

Kerry, Giselle; Glass, Leslie; Keane, Thomas; Ruch, Patrick; Mulder, Nicola; Brinkman, Fiona

The overarching purpose of CINECA is to achieve federated human data interoperability between 10 existing cohorts from Canada, Europe and Africa which represent >1.4 million individuals. This will enable population scale genomic and biomolecular data access across international borders, accelerating research and improving the health of individuals resident across continents. This project will not generate novel data from human data, rather it relies on integrating existing resources which hold or store data to deliver new knowledge and innovation. All data access is determined by the existing data access committees (DACs) and the respective data processes for each dataset. The informed consent and ethics approvals for CINECA cohorts were documented in previous deliverables, and will be respected by this data management plan, which will be an integral part of the consortium’s Governance Framework. Given the international nature of this project, the data management plan is a component of Work Package 7 - Ethical and legal governance framework for transnational data-sharing. We note that all partners in the project have relevant national and/or international experience in acquiring, storing, analysing and sharing high complexity datasets and in the implementation of the FAIR principles for these resources.

The Data Management Plan (DMP) was developed based on the core requirements for DMPs as described by The Science Europe Practical Guide to the International Alignment of Research Data Management (https://www.scienceeurope.org). The DMP is a living document, expected to be updated during the lifetime of the project.

Files (391.7 kB)
Name Size
CINECA_DMPv1_D7.4.pdf
md5:1c29e43491faa0b7c191acbffa916d99
391.7 kB Download
45
37
views
downloads
All versions This version
Views 4545
Downloads 3737
Data volume 14.5 MB14.5 MB
Unique views 4040
Unique downloads 3434

Share

Cite as