You have likely heard people using the term 'FAIR' data a lot recently and might wonder what exactly is meant by this term. FAIR data are those that are Findable, Accessible, Interoperable and Reusable. Sounds simple enough, but what do each of these terms mean in a practical sense and how can you tell if your own research data is FAIR? This short course will:
  • introduce you to the key terms and explain what they mean in a practical sense.
  • tell you how data management planning can help to make data FAIR from the very start of research projects.
  • show you how you can use freely available tools to help assess the FAIRness of data.
Please note that your course will display in a popup window! If you have configured your browser to block these, please add an exception for OpenPlato. Thank you.


Número de intentos permitidos: Sin límite
Número de intentos realizados: 1
Calificación del intento 1: 0%
Método de calificación: Intento más alto
Calificación informada: 0%