Technical News
Announcing a New Affiliation Matching Strategy in the ROR API
We are delighted to announce the launch of a new matching strategy in the ROR API to help you match complex affiliation text strings to ROR IDs at scale.
Adoption News
Faster Affiliation Matching at Scale
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.
Explainers
Metadata Matching: Beyond Correctness
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.
Explainers
How Good Is Your Matching?
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.
Explainers
The Myth of Perfect Metadata Matching
In this post, we discuss a few common myths about metadata matching that are often encountered when interacting with users, developers, integrators, and other stakeholders.
Explainers
The Anatomy of Metadata Matching
The second blog post about metadata matching by ROR's Adam Buttrick and Crossref's Dominika Tkaczyk describes some basic matching-related terminology and the components of a matching process, then poses some typical product questions to consider when developing or integrating matching solutions.
Explainers
Metadata Matching 101: What Is It and Why Do We Need It?
In this blog, the first one in a series about metadata matching, we will cover the very basics of matching: what it is, how we do it, and why we devote so much effort to this problem.
Technical News
Untangling Affiliation Strings with the ROR API
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.
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