The TetraNET project is committed to implementing a comprehensive research data management plan (DMP) that adheres to the FAIR data principles and aligns with Horizon Europe requirements. TetraNET aims to maximize the impact of the research data and other outputs generated during the project while ensuring data integrity, security, and compliance with ethical standards. The DMP will be developed at the start of the project and updated regularly throughout its duration. The plan will outline:
- Data types: TetraNET will generate experimental, computational, and device performance data with metadata to advance neuromorphic computing and sensing.
- Data storage: Secure storage will be ensured on institutional servers during the project and preserved in trusted repositories afterward.
- Data sharing: Research data will be openly shared while protecting intellectual property, following the “as open as possible, as closed as necessary” principle. Datasets will be deposited in open-access repositories like Zenodo and OpenAIRE.
- FAIR compliance: Standardized metadata, persistent identifiers, and recognized protocols will ensure data is Findable, Accessible, Interoperable, and Reusable.
- Data preservation. The project will identify datasets to be archived for long-term preservation. Data formats such as text documents, tab-delimited files, image files, and spreadsheets will be saved in widely used formats (e.g., txt, jpg, csv, pdf) to ensure accessibility and compatibility.
TetraNET implements a structured IP management strategy to identify, protect, and exploit innovations while ensuring fair benefit-sharing among partners. While protecting commercially valuable IP, TetraNET balances open science principles, ensuring non-sensitive results are openly shared. IP governance, ownership, and conflict resolution will be managed under the Consortium Agreement, with regular reviews to align with regulatory and market developments.
