Research Data Management
Proper research data management is essential to ensure integrity, reuse, and legal compliance throughout the entire research lifecycle. Explore the topics below to learn about best practices, policies, and support resources.
Research Data
Research data refers to the information generated or used in scientific projects and form the basis for the analysis, validation, and publication of results. The proper identification and classification of these data are essential to ensure rigor and reliability in research.
Learn about the policies and recommendations that guide research data management, ensuring best practices, legal compliance, and ethical responsibility.
Research Data Lifecycle
The initial phase of the data lifecycle focuses on planning the management of data throughout the project. At this stage, the types of data to be produced or reused, the collection methods, storage needs, as well as associated ethical, legal, and funding requirements are defined.
During the development of a project, data management involves continuous organization, documentation, and storage of data. Applying consistent practices ensures the quality, integrity, security, and traceability of data over time.
After the completion of a project, data management focuses on the preservation and responsible sharing of the information produced. Data to be retained long-term are identified, access conditions are defined, and deposit in trusted repositories is ensured.