Deliverable D7.2 Data Management Plan

The OBSGESSION project (Observation of Ecosystem Changes for Action, https://obsgession.eu/) aims to enhance terrestrial and freshwater biodiversity monitoring and policy by new approaches for integrating data and modelling, and by developing science-based solutions. This data management plan (DMP) provides details about the data to be collected, generated, and processed in OBSGESSION, as well as other outputs. It also outlines the key principles of data management practices, as required in the Horizon Europe Programme Guideline. The project is committed to following the policies of open science and research as the foundation for all activities, including data management. Data management in the project will adhere to the FAIR principles, ensuring that data is Findable, Accessible, Interoperable and Reusable. The plan also specifies that other outputs besides data will be managed in line with these principles whenever applicable. The project will utilise a variety of data and combine biodiversity data from multiple sources. The types of data included in the OBSGESSION project are experimental, observational, statistical, and qualitative data, such as interviews. The DMP outlines the overall data management practices for the duration of the data lifecycle within the framework of the FAIR principles and provides details on planned practices and data-specific considerations. This includes, among other things, producing metadata and other documentation related to the data. The plan also presents practices for ensuring data interoperability, reusability, and publication. Relevant metadata standards have been identified to make EO data interoperable. In addition, the DMP describes the In-Situ database, OpenEO platform and Data Cubes as tools and mechanisms for implementing interoperability and (re)usability of EO and in-situ data.