Module 11: Research data management

General description

This in-depth course will help students to develop their knowledge and practical skills in handling and managing the research data they collect. Having these skills becomes increasingly important to researchers seeking to advance their careers. The lecturers will guide the attendees through the key aspects of how to manage, document, store and safeguard research data well and how to plan and implement good data management in research projects.

Essential key-concepts and skills in Research Data Management (RDM) will tackled. This hands-on workshop will focus on all kinds of data (both qualitative and quantitative) and cover the following aspects:

  • Introduction: Why and how to manage research data?
  • What is FAIR data? (Findable, Accessible, Interoperable, Reusable)
  • How to make your data FAIR?
  • Planning: How to plan your research data management and write a data management plan?
  • Documenting: How to make research data and data processing understandable and reusable?
  • Storage: Strategies for storing data during and after the project
  • Security: How to safeguard your data?
  • Organisation & structure: Strategies for naming, organising and structuring your data files
  • Data Sharing & Open Science: How to share research data?
  • Ethical and legal issues in data sharing and handling confidential information

Target audience

This course is aimed at all researcher who want to know more about data management, FAIR data, the publishing of data, etc.

Course prerequisites

None

Course materials

  • Extended slidedecks will be provided by the teachers
  • Exercises (bring your own laptop)

Teacher bio

This course will be taught by members of the Data Stewards from Ghent University. This team of constitutes an RDM knowledge and communication hub within Ghent University Library, which is part of the University’s Research Department. Members of the team are Paula Oset, Thomas Van de Velde, Stefanie De Bodt, Ziad Choueiki and Laura Standaert. Each data steward has experience with research and data in various disciplines, thus forming a team with complementary skills and areas of expertise.

Schedule

  • Monday 15/07/2024, 9:00-10:30, 11:00-12:30, 14:00-15:30, 16:00-17:30
  • Tuesday 16/07/2024, 9:00-10:30, 11:00-12:30, 14:00-15:30, 16:00-17:30
  • Wednesday 17/07/2024, 9:00-10:30, 11:00-12:30