The objectives of the DCN and the DCCP are closely aligned. With their hands on the data, DCN curators work with researchers to ensure that the data put into repositories is FAIR. The DCCP, on the other hand, works with researchers to make their data discoverable, even if that data is not in a repository. In other words, where the DCN deals with data curation as a whole, including cataloging the data, the DCCP focuses primarily on cataloging only. I attended the workshop not just to learn more about data curation myself but also to see what lessons the DCCP can learn from the DCN.
The DCN created and uses a workflow that they call CURATE. This workflow walks curators through the steps of making a dataset FAIR and provides checklists for each step to act as a guide. Because the DCCP works with data that is not necessarily in a repository, not all aspects of the workflow are applicable to our model. However, these checklists provide an excellent resource as we at the DCCP work to improve our data cataloging and provide guidance to new members.