Data Management Plan
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The data management plan is designed to ensure that research data and outputs are managed in accordance with the FAIR principles and in a efficient way. By implementing the strategies explained below, the Data Management Plan for ExploDES aims to implement the highest standards of data management, transparency, and accessibility, thereby maximizing the impact and value of the research.The methodology approaches of the project ExploDES integrate open science practices and effective data management strategies to promote collaboration, transparency, and accessibility within the scientific community. The project's design and links to the repository with the data will be made available on a dedicated website, allowing for transparency and facilitating potential feedback from the scientific community. Regular updates will be provided through a blog hosted on the same webpage, further enhancing engagement and collaboration.Data including specimen photos, initial identifications, ecological data, etc. will be promptly deposited into publicly accessible repositories. Specimen data and photographs will be shared via established databases (e.g, MNHN, WORMS, GBIF) and sequences will be incorporated into BOLD and GenBank. All sampling events will follow regulations and country legislation and the materials collected are or will be done so in compliance with the Nagoya Protocol, ensuring that ethical and legal considerations are met. To simplify data management processes and track the development of the project SciNote, a cloud-based electronic lab notebook, will be used. This tool will serve as a central hub for managing data, facilitating collaboration among team members, and ensuring the integrity and traceability of the research activities.
