Choosing a dataset
- Identify datasets from IMI consortia and example datasets from EFPIA participants, including three pilot IMI datasets.
- Evaluate the relevance, ELSI (Ethical, Legal and Social Implications) requirements and scientific value of datasets.
- Propose and implement selection criteria for dataset identification. These criteria will include availability, scientific value, and societal impact.
- Adjust guidelines and competency questions to help external (i.e. non-IMI and non-EFPIA) communities to FAIRify their datasets.
|March 2019||Established a procedure to identify ELSI issues and ascertain lawful processing and appropriate safeguards for personal data in selected datasets.|
|June 2019||First three datasets selected and available.|
|December 2019||A report containing the selection criteria and guidelines for data sources from IMI projects and EFPIA internal databases is published.|
This work will be carried out by Work Package 1 (WP1) within the project. For an overview of this WP and how it interacts with the other WPs see How the project is organised.