D1.2 Data Management Plan v2

This deliverable is the second version of the ARTEMIS Data Management Plan (DMP), updating Deliverable D1.1. The DMP contains a description of the datasets that have been collected, used and generated by M18 of the project with a plan on how such data is and will be shared, archived and preserved throughout the project and after its end.

The ARTEMIS project (Applying Reactive Twins to Enhance Monument Information Systems) aims to revolutionise cultural heritage research and preservation by leveraging the concept of Reactive Heritage Digital Twins (RHDT). Deliverable D1.2, the Data Management Plan (DMP) provides a strategic framework for the handling of data reused, processed, or generated within the project.

ARTEMIS aggregates, enriches, and uses a vast array of existing and publicly available datasets from prominent heritage repositories such as ARIADNE RI, HSDS, KIK-IRPA, and LNEC. While the project’s aim is not to create new primary research data, some data is still produced, specifically technical outputs arising from pilot cases and sensors. The primary output of ARTEMIS will be metadata, a set of services and pilot implementation frameworks based on RHDT. The DMP emphasises adherence to FAIR principles, ensuring data is Findable, Accessible, Interoperable, and Reusable. It describes the mechanisms for persistent identifiers, metadata standards, such as CIDOC CRM, and Getty AAT, and the creation of a Knowledge Base that enables semantic and user-friendly access to cultural heritage data. Data accessibility is ensured via trusted repositories like Zenodo, GitHub, and DARIAH-Campus, with all outputs shared under open licenses (CC BY or CC0).

The plan addresses data security, ethical considerations and AI use and regulation in line with European laws and GDPR compliance, particularly in handling personal data for project activities such as surveys, training, and event participation. It also ensures long-term preservation of project outputs, underlining sustainability and public availability beyond the project’s conclusion. Resources for data management, including technical infrastructure and personnel, are embedded into the project’s operational budget. Governance responsibilities are distributed across Work Packages, with the Scientific Coordinator overseeing updates and compliance.