Webinar: Sharing and archiving data

Tuesday 30 April 2024 09:00-11:00,

Thinking of sharing your research data? Or perhaps your publisher or funder requires you to do so?

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In this webinar we will go through the basics of research data sharing, why it is beneficial, and how it might be done. We will discuss open versus controlled sharing and take a closer look at the FAIR principles.

In the second half of the webinar we will look at alternative routes to data sharing, different archive options and then we will end with walking through how to best prepare your data for archiving in DataverseNO UiS. This is the UiS data collection in DataverseNO, an internationally recognised archive for open data sharing.  

Target audience: PhD candidates and staff at UiS.

Teaching method: Lecture and discussion  

No. of participants: 50.

Language: English.

Where: Teams 

Registration needed.
After the course you should be familiar with: 

  • What data sharing entails and why this is good research practice 
  • The FAIR principles  
  • Routes to data sharing and archiving 
  • How to prepare for and archive data with DataverseNO UiS