University of Michigan Library selects Ex Libris Alma and Primo to improve resource sharing and analytics -

Ex Libris®, a ProQuest company, has announced that the University of Michigan Library has selected the Ex Libris Alma® library services platform and Ex Libris Primo® discovery and delivery solution to provide innovative services to the school’s diverse constituents.

The University of Michigan Library is one of the largest research libraries in the United States, with almost 13 million volumes, 137,000 current serials, and more than 4.2 million annual visits. This scale and the library’s rapid growth rate were key business drivers for the strategic move to modern, cloud-based computing standards and capabilities, including multitenant software as a service (SaaS), and the selection of the Alma platform. Michigan has been a power user of the Ex Libris Aleph® library management system for more than 15 years.

With the new system, the library will expand its current capabilities, including electronic resource management and analytics, and explore new features, such as linked data and collaborative collection development. Additionally, integrated authority control will boost efficiencies in staff workflows.

Leveraging the Alma Analytics module, the University of Michigan Library will be able to demonstrate the broad impact of its library services, improve workflow efficiency and service quality, and strengthen data-informed decision making.

To connect with digital collections and repositories and the Ex Libris Central Discovery Index, the library will use the Primo discovery tool on its Flint campus and an open-source solution on its Ann Arbor campus. The Alma platform will be a key part of the library’s holistic strategy for integrating systems and services across its expansive web enterprise and infrastructure.

Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.

Click here to read the original press release.

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