Before Research
The Data Management Plan (DMP) describes how data will be handled throughout the project, from collection and organization to protection, sharing, and preservation.
This document should include:
- Project Identification
General information about the project, the research team, and sources of funding. - Data Description
Types of data to be generated or reused, formats, estimated volume, and collection methods. - Organization and Documentation
Data structure, naming conventions, and associated metadata. - Storage and Security
Storage solutions, backups, and access control mechanisms. - Ethical and Legal Aspects
Protection of personal data, informed consent, and intellectual property rights. - Access and Sharing
Access conditions, usage licenses, and deposit repositories. - Long-term Preservation
Strategies for preserving and making data available in the future.
Support tools:
- ARGOS – platform to create, validate, and publish FAIR Data Management Plans, with funder templates and integration with repository services and research systems.
Explore a selection of links to platforms and portals providing examples of DMPs across different scientific fields. These resources illustrate different approaches and best practices, serving as references to support the development of your own plan.
Some data must be restricted due to sensitivity or legal requirements. If you are unsure whether the data in your research fall under these conditions, contact us.
Useful informations:
Research data may have different storage and preservation requirements depending on their volume, format, or nature. If you are unsure how to quantify the space needed for storing and preserving your data, contact us.
Useful informations: