The primary objective of the initial Data Management Plan (DMP) for the AI4EOSC project is to ensure compliance with GDPR regulations and to provide a comprehensive overview of how the project is managing the data generated within the scope of AI4EOSC in accordance with the relevant principles of making data findable, accessible, interoperable, and reusable (FAIR). The DMP outlines the type of data that the project is generating, how it will be made accessible for verification and re-use, and how it will facilitate potential re-use of the collected and processed data. Within the list of objectives, work packages and tasks of the project, some FAIR-related activities can be found. For example, Task 7.2 aims to support the different use cases to ensure that the different digital objects potentially reusable along the workflow, adopt the FAIR principles: data, models, predictions, metadata, publications, software, etc. This means that, appart from the datasets used as input for model training, the complete workflow will connected to identify the different components, trying to make all the sicentific pipeline reproducible.