Greetings!

 

I hope your fall is off to a great start, not sure about you, but it is one of favorite seasons of the year.

 

The upcoming October seminar is amazingly timely, and the neat thing is that the topic was set up early this spring, prior to the RCN announcement/kickoff last month (https://youtu.be/Sx3mZENaTro).

 

If you were online or have watched the video, you will recall a significant amount of time was spent on making data FAIR and is a core objective of the RCN.  Dr. Allyson Lister from Oxford e-Research Centre at the University of Oxford is a Knowledge Engineer, and FAIRsharing advocate that will challenge us on how we do our work AND make our data FAIR.  Read more in the abstract below.

 

I hope your schedule will allow you to join us.  As usual we will record and publish the content after the meeting.

 

All the best!

 

Darwin

 

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FAIRsharing: promoting the discovery of data standards, policies and databases across all research domains.

Presenter: Dr. Allyson Lister from Oxford e-Research Centre, University of Oxford

Host: Jacqueline Campbell

| 1P ET | 12P CT | 11A MT | 10A PT |
Find your local time: https://bit.ly/3qQcgES

https://iastate.zoom.us/j/91906292999?pwd=NlZrK0lUNjlPRVZxZ0JBSlB4ZXF0QT09
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Abstract: FAIRsharing is an informative and educational resource on interlinked standards, repositories and policies, three key elements of the FAIR ecosystem. FAIRsharing promotes the existence and value of these standards, repositories and policies, fostering a culture change within the research community into one where the use of these resources for FAIRer data is pervasive and seamless. This is achieved by guiding consumers to discover, select and use these resources with confidence, and helping producers to make their resources more visible, more widely adopted and cited. This presentation will highlight key collaborative, successful activities as well as next steps within FAIRsharing. It will also provide information on how to become a recommended repository in FAIRsharing and how to use FAIRsharing to engage with your stakeholders as well as with journal publishers and their data policies.