Posts tagged under: Data Science

Build on strengths when responding to a crisis

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As the REALM project (REopening Archives, Libraries, and Museums) continues to gather and adapt science-based information to inform local decision making by libraries, archives, and museums, it’s been essential to listen to the real-world experiences at these institutions. These perspectives ensure that the information is relevant to the operations and services of the field. In a collection of nine interviews, leaders of libraries, museums, and member associations describe how they leveraged their institutions’ core strengths and drew upon trusted partners to navigate the crisis, helping to protect the health and well-being of staff and community members. These interviews help identify common ground among institutions in their response to a global crisis and spotlight opportunities for local partnerships between different types of cultural heritage institutions that can strengthen resources and local impact.

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How your library will benefit from linked data

In January 2020, OCLC announced that the Andrew W. Mellon Foundation had awarded us a grant to build a shared entity management structure that supports libraries as we move toward new ways to create and share information about their collections. These new methods—commonly referred to as “linked data”—represent changes to both underlying library data and the type of activities that library workers perform.

Even more importantly, they also signal a shift in how the library community can work together to build on each other’s work. I believe that no matter what type of library you are associated with, you and your users will benefit from this project.

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