Several widely used scholarly systems are using ROR IDs to identify and disambiguate funding organizations. In this post, we’ll give you a glimpse of how and why these systems use ROR IDs as funder identifiers.
Today, we are delighted to announce the launch of version 2 of the ROR schema and API! This new version of our schema and API will serve as a rock-solid foundation for everything ROR users want to accomplish now and in the future.
One common question we receive about ROR registry records is whether they reflect organizational hierarchy and relationships between organizations – yes, they do!
We’re more than halfway through 2020, and it has already been a year like no other. In the midst of global upheaval and uncertainty, work on the Research Organization Registry continues.
Version 4.3 of the DataCite Metadata Schema released during August, 2019 included (among other things), the capability to provide persistent identifiers for affiliated organizations in the metadata (Dasler and deSmaele, Identify your affiliation with Metadata Schema 4.
ROR launched in January 2019 with records for nearly 100,000 research organizations, all with unique IDs and associated metadata. ROR data is useful for a variety of reasons and for a variety of users, including both humans and machines.
How many datasets have been published in Dryad from researchers at the University of California? This question is surprisingly complicated. A short answer might be, we don’t know!
ROR is an open registry for every research organization in the world, aiming to solve the problem of identifying which organizations are affiliated with which research outputs.