Research data in digital form can be easily copied, stored in multiple places, and re-published through more than one repository or service. Mirroring resources is a common practice, but offering exactly the same version of the data in multiple places raises questions. In December 2019, a Twitter exchange about a case of data re-publication started a broader debate. What are the pros and cons of data re-publication? How can humans and machines know whether they are accessing an authoritative copy of the data? How can the authoritative source (data centre) be attributed or acknowledged in mirror sites? Who gets credit for the used and cited data? Do we need to rethink data licensing? What needs to be replicated in order to preserve the quality standards of the original data? In this session, we will explore these and other questions and discuss possible next steps in RDA and beyond to develop guidance on data re-publication.
0-10 minutes: Opening and Introduction (10 minutes)
10-15 minutes: (lightning talk 1: pro re-publication) (5 minutes)