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
Understanding RRID and ROR for Facilities
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.
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.
Explainers
How ROR and the Open Funder Registry Overlap: A Closer Look at the Data
ROR is ready to take on the important work that the Open Funder Registry has been doing: identifying research funders in a clean, consistent, comprehensive, and interoperable way. This post compares both registries and provides data showing that most of the Open Funder Registry records that see the most use already have equivalent records in ROR.
Explainers
Parents, Children, and Other Relationships in ROR Records
ROR supports parent-child organizational hierarchies as well as other types of relationships between organizations. This blog post explains how organizational hierarchies and relationships are expressed in ROR metadata, offers statistics on hierarchies and relationships in ROR, summarizes ROR's curation practices for hierarchies and relationships, and gives examples of real-life use cases of ROR hierarchies and relationships.
Explainers
What's in a name? Handling name metadata in ROR
The ROR registry includes unique IDs and associated metadata records for 100,000+ research organizations. Each one of these organizations has at least one name.
Explainers
What Does it Mean to Be in ROR?
Some of the most frequent questions ROR receives are about what it means when an organization is in ROR, and how organizations end up in the registry in the first place.
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