he newly approved working group will work toward development of a standard for the implementation of persistent identifiers and supporting infrastructure.
The issue of consent in the context of materials used in training AI models is an increasingly important one. This brief paper offers an approach for consideration.
The report from California Digital Library outlines a plan for building and launching a comprehensive national finding aid network over the next five years.
Boaz Nadav-Manes of Lehigh University was one of three expert panelists who joined the first of a two-part series on collaborative collections in August on collaborative collections.
NISO kicks off September with a hot-topic webinar discussion on the role of metadata in AI, followed by a roundtable in October on applications to improve website accessibility.
Learn more about the library-managed system that works to match a specific citation in a discovery service with the library’s licensed version of content.
The Open Discovery Initiative Recommended Practice (NISO RP-19-2020) provides examples of various types of metadata, so critical in support of discovery systems.
How have members of the NISO community been integrating artificial intelligence in their products and services? NISO I/O has assembled this information for your review.
What have speakers at NISO Plus and at other NISO educational events said about artificial intelligence and its impact on researchers, students, and faculty?
Artificial intelligence is entering into the working environment of everyone in the NISO community. Look here for some of the research included in recent issues of NISO I/O.
