Objectives

The aim of WP5 and WP6 is to enhance the overall scientific value and reliability of the EIRENE RI by establishing strategies and frameworks that guide data governance. This will include a comprehensive data framework as the foundation for data management and utilization. The ELSI compliance framework will be developed to ensure responsible research practices and compliance with relevant regulations. Implementation of the FAIR principles will be ensured by developing a community-based approach to identify the core FAIR Enabling Resources of relevance for the EIRENE research community. Finally, a strategy to identify core datasets and establish associated quality levels will be developed.

Tasks (months 1-18)

T5.1 Data Governance strategy (Task leader: CNR, partners VITO)
A robust data governance framework will be established, building on the data policy and Data Management Plan (DMP) guidelines developed in EIRENE PPP. This framework will define roles, responsibilities, and workflows for data lifecycle management, ensuring alignment with FAIR principles and Open Science policies. Based on the outcomes of WP1 and the services to be provided, the Interim Data Governance Strategy will be developed (D5.1, M18, CNR). To address the diverse requirements of various user communities, practical guidance will be developed. It will establish clear data access procedures, user authentication protocols, and audit trails that maintain the balance between data accessibility for research purposes and protection of individual privacy rights.

T5.2 Legal and ethical compliance framework (Task leader: MU, partners UU-IRAS, VITO, JSI)
A comprehensive ELSI compliance framework (D5.2, M18, MU) for data handling within EIRENE RI will be designed, expanding on the Ethical, Legal, and Social Implications (ELSI) guidelines developed during the EIRENE PPP. The framework will ensure that all data activities comply with the GDPR legislation (VITO) and other relevant EU legislation (MU), particularly concerning the processing of sensitive personal data, including health records, genetic information, and other confidential research data that may be collected or processed within the infrastructure.

T5.3 FAIR implementation (Task leader: VITO, partners UU-IRAS, CNR)
Strategies will be developed and aligned to ensure that content (data, metadata and computational models) within EIRENE RI adheres to the FAIR principles. A community-based approach will be designed to identify, evaluate, and curate the FAIR-enabling resources (e.g. vocabularies, ontologies, knowledge models...) that are most relevant to EIRENE RI. In this task, the Criteria to identify core FAIR Enabling Resources (D5.3, M18, VITO) will be identified. FAIR implementation approaches across the different EIRENE RI research communities will be identified, and existing integrations, synergies, and gaps will be mapped.

T5.4 Data harmonization and quality (Task leader: UU-IRAS, partners VITO, all)
To ensure data harmonization and accurate quality labelling of data within the EIRENE RI community, we will develop a strategy for identifying „core data resources“ (D5.4, M18, UU-IRAS, co-authored by VITO) similar to that already employed by ELIXIR RI. Various examples have demonstrated its fundamental importance to the wider exposure science community and the long-term preservation of exposure data. All partners will be consulted to consider the specificity of all the data types and existing practices.