| _version_ | 1866902001818796032 |
|---|---|
| author | Mejia-Aguilar, Abraham Chuprikova, Ekaterina |
| author_facet | Mejia-Aguilar, Abraham Chuprikova, Ekaterina |
| contents | <p><span>The DMP aligns with Horizon Europe's Open Science policy, which emphasizes open access, transparency, and the reusability of research outputs while ensuring data privacy and security where necessary. To support these principles, the project commits to open access and FAIR data by making research outputs available through repositories such as ZENODO or the European Open Science Cloud (EOSC), ensuring that metadata and non-sensitive datasets are openly shared to maximize their impact within the scientific community. Furthermore, the DMP facilitates structured data sharing among consortium members, emergency response agencies, and research institutions, promoting collaboration and interoperability across different stakeholders.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17663522 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | D1.3 Data Management Plan HURRICANE Mejia-Aguilar, Abraham Chuprikova, Ekaterina <p><span>The DMP aligns with Horizon Europe's Open Science policy, which emphasizes open access, transparency, and the reusability of research outputs while ensuring data privacy and security where necessary. To support these principles, the project commits to open access and FAIR data by making research outputs available through repositories such as ZENODO or the European Open Science Cloud (EOSC), ensuring that metadata and non-sensitive datasets are openly shared to maximize their impact within the scientific community. Furthermore, the DMP facilitates structured data sharing among consortium members, emergency response agencies, and research institutions, promoting collaboration and interoperability across different stakeholders.</span></p> |
| title | D1.3 Data Management Plan HURRICANE |
| url | https://doi.org/10.5281/zenodo.17663522 |