D1.4 Data Management Plan

This deliverable presents the first, early version of ALFIE's Data Management Plan (DMP). It details the data management strategy for the ALFIE project, which aims to bridge AI accessibility, availability and usage needs and associated legal and ethics requirements expressed by citizens, policymakers, AI professionals, and legal entities (ETD-Hub) with an advanced implementation platform that seamlessly translates these deliberative outcomes into actionable AI tools and solutions (AutoML). The project will generate a variety of datasets, which will be primarily stored in ALFIE's AutoML Data Warehouse (AutoDW), the projects central persistence facility. The project will also produce several other research outcomes, such as AutoDW and ETD-Hub software. We are committed to making our data Findable, Accessible, Interoperable and Reusable (FAIR). We will adopt European Commission (EC) guidelines for data management and comply with the General Data Protection Regulation (GDPR). We are aiming to make the majority of ALFIE's datasets freely available during ALFIE and beyond the end of the project, in fully anonymised and publicly accessible formats. This deliverable discusses the importance of Data Management Plans and FAIR principles. It introduces guidelines about data collection, generation, processing, handling, protection, sharing and preservation in ALFIE. It explains how the Data Management Plan Template for EU projects has been used to collect data management plan information for all ALFIE partners. In succession, the deliverable describes in detail all datasets and other research outcomes that ALFIE partners plan to develop, create, generate and/or use for the purposes of ALFIE. It presents information about how each of these items will comply to the FAIR principles, the GDPR and ALFIE’s Grant Agreement (GA). The DMP will be updated frequently through the duration of the project. A second and final version of this deliverable will be prepared and submitted in M34.