FOSTER - Assessing the FAIRness of Data (v2)
Abschlussbedingungen
Anzeigen
Alle Teile dieser Aktivität ausführen
Aktivität bestehen
Eine Bewertung erhalten
Eine Bewertung von 80 oder mehr erhalten
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.
Zahl zulässiger Versuche: Unbegrenzt
Zahl Ihrer Versuche: 1
Bewertung für Versuch 1: 0%
Bewertungsmethode: Bester Versuch
Bewertung veröffentlicht: 0%