How to sync ORCiD and DataCite for figshare

 

What is ORCID?

ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. For more information please go to: https://orcid.org/content/about-orcid


Figshare offer an ORCiD integration that once connected will allow you to push all of your public items from figshare to ORCID. 


Connecting figshare to ORCiD

To push all of your public items from figshare to ORCID you need to ensure DataCite is authorised on your ORCiD account. DataCite are responsible for issuing the DOIs to data, for more information click here. Once authorised, your public figshare items will be displayed in the work section of your ORCiD profile. 

The video below showcases an ORCID account that has not yet authorised DataCite and the authorisation process.

After logging in to your ORCiD account:

1. Scroll down to the Works section and click +Add works
2. Select Search & link, you’ll be presented with the services you can link to
3. Select DataCite

Next, you will be presented with a permissions form. Upon reviewing the Privacy Policy, tick the box alongside 'Allow this permission until I revoke it' and select Authorise. 

You will then be taken to your DataCite settings page. To check the authorisation has worked successfully head back to ORCiD and to your Account Settings tab. ORCiD should now be listed as a Trusted organisation.

 

 

 

Furthermore, you can set up a DataCite profile (if you don't already have one) and then give DataCite permission to automatically update your ORCID record. You only have to do that once and DataCite will keep on updating your ORCID record every time they mint a DOI, where your ORCID iD is included in the metadata. See https://profiles.datacite.org/ and click on ORCID Auto-Update once you have a profile set up. In this way, you do not have to keep manually adding figshare items to your ORCID account, this is especially useful when you have a lot of data! 

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