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Human Exposome Assessment Platform - Data Management Plan. Public deliverable 7.1. Update Jan 2023

Authors :
Muller, Heimo
Merino, Roxana
Negru, Stefan
Boeckhout, Martin
Evert-Neb Van Veen
Publication Year :
2020
Publisher :
Zenodo, 2020.

Abstract

This deliverable is the Data Management Plan (DMP) of the Human Exposome Assessment Platform (HEAP), which aims to create a technical research platform to assess the impact of the internal and external exposome in human health. HEAP will collect a significant amount of data from 6 research projects: HEAP - Cervical screening cohort HEAP - Maternity cohort HEAP - HPV vaccination cohort HEAP - Consumer cohort HEAP - Wearable data collection study HEAP - Lifestyle cohort All data objects from human patients, pathogenic organisms, as well as global genetic resources will be stored securely, with assurance and documentation that any processing and analysis will be in line with HEAP ethical and legal framework. The technical infrastructure to manage all data and metadata in the HEAP’s Information Commons (IC) will be developed by WP 10 (Secure Infrastructure for big data). The dedicated work package WP 7 (Data interoperability and data sharing) is committed to make the HEAP Information Commons (IC) FAIR – findable, accessible, interoperable and re-usable – including what data the project will generate, whether and how it will be made accessible for verification and re-use, and how it will be curated and preserved. We will connect the HEAP Information Commons (IC) to the European Human Exposome Network and to the EOSC via consistent, FAIR annotation practices including provenance information. Based on the ethicolegal analysis of the data, value chain access to data and cloud services will be underpinned by a shared federated authentication and authorization infrastructure (Life Science AAI) supported by a formal governance model developed by the WP2 (Ethics and Regulations).

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....a9c18361da3e6b966a9c49d692383ded
Full Text :
https://doi.org/10.5281/zenodo.7572272