Research Data Management

• Research Data
  Research data are all data that are collected and processed in the course of the scientific work process and form the basis of scientific research results. This includes, for example, measurement data, laboratory values, audiovisual information, texts, survey data, objects from collections or samples. Questionnaires, software and simulations can also be included under the term research data.

• Research Data Lifecycle
  The research data life cycle represents the various phases of research data management that the data go through during and after the project:

  • Planning research projects
  • Collection, generation and recording
  • Processing
  • analysis
  • Publishing, archiving and subsequent use (optional)

  Ideally, the following aspects should be written down in a data management plan for each individual phase:

  • Documentation
  • Organisation and overview
  • Storage locations and data transfer
  • Protection against misuse
  • Data selection
• Research Data Management
  Research Data Management (RDM) involves organizing, storing, securing, and sharing data collected during research. Key aspects include:

  1. Planning: Developing a data management plan.
  2. Organization: Systematically collecting and organizing data.
  3. Storage: Securely storing data to prevent loss or unauthorized access.
  4. Documentation: Using metadata to provide context and make data understandable.
  5. Preservation: Keeping data accessible long-term.
  6. Sharing: Making data available while respecting privacy and legal guidelines.

  Effective RDM enhances reproducibility, reliability, and the impact of research by making data easily accessible and reusable.

Policy