Peyton Tvrdy of the US National Transportation Library tells us why and how her team did such exemplary work in producing metadata for Rosa P, a national digital repository for open transportation research.
Peyton Tvrdy of the US National Transportation Library tells us why and how her team did such exemplary work in producing metadata for Rosa P, a national digital repository for open transportation research.
In this dual case study, we learn why the Howard Hughes Medical Institute (HHMI) relies on OA.Report and why OA.Report relies on ROR to help HHMI track compliance with its open access policy. “Even back then [in 2019], the best option was to lean on a big, community-owned solution. And it’s been great to see ROR effectively become the standard, the clear way forward for identifying organizations.” “We think ROR is terrific.
Crossref members can now use ROR IDs to identify funders in any place where they currently use Funder IDs in their metadata.
Highlights of the 2025 ROR annual meeting sessions, including the Community Update, the panel on National PID Policies and Practices, and the session on Successes and Opportunities for ROR in the Asia-Pacific Region.
OpenAlex has added a new metadata matching strategy co-developed by ROR and Crossref to its affiliation matching processes: ROR is also investigating the prospect of incorporating this new matching strategy into the ROR API in 2025. If you’ve been reading our recent series of blog posts about metadata matching, you know that automatic metadata matching at scale is a topic dear to our hearts.
The fifth and final blog post about metadata matching by ROR’s Adam Buttrick and Crossref’s Dominika Tkaczyk outlines a set of pragmatic criteria for making decisions about metadata matching. Read all posts in the series on metadata matching. In our previous entry in this series, we explained that thorough evaluation is key to understanding a matching strategy’s performance.
Web of Science Core Collection™ from Clarivate™ now includes Research Organization Registry (ROR) identifiers for the benefit of the global research community.
In 2024, ROR processed over 8000 curation requests, handled 14 million monthly requests to the ROR API, saw the number of downloads of the ROR dataset triple, and was a finalist for the ALPSP Innovation in Publishing Award: read on for more highlights from a banner year.
This blog post explores the difference between “core facilities” in RRID and “facilities” in ROR and provides guidance for those who run facilities on how to effectively use these identifiers. What is RRID and what is its scope? RRIDs (Research Resource Identifiers) help identify a wide variety of resources which are inputs to experiments , especially biomedical experiments.
In this interview with Curvenote cofounder Rowan Cockett, we envision a world in which an authoring and publication platform helps scientists collaborate earlier, publish faster, and easily use structured metadata to create fully connected and highly interactive publications and portfolios.
The fourth blog post about metadata matching by ROR’s Adam Buttrick and Crossref’s Dominika Tkaczyk explains how to measure the quality of different matching strategies with an evaluation dataset and metrics. Read all posts in the series on metadata matching. In our previous blog post in this series, we explained why no metadata matching strategy can return perfect results.