Using Linked Data for Discovery and Preservation
At the 2018 ASIST conference, Matt Mayernik from the National Center for Atmospheric Research described a useful framework for classifying linked data tools and services. Looking both retrospectively and prospectively, Mayernik identified four categories: Relationship Identification; Relationship Validation; Relationship Characterization; and Relationship Preservation. One of the linked data services Mayernik identified in the Relationship Preservation category is RMap, developed by my institution—the Sheridan Libraries at Johns Hopkins University—in partnership with IEEE and Portico through a grant from the Alfred P. Sloan Foundation. RMap, which is based on a flattened or simplified version of the OAI-ORE protocol, expresses and preserves the map of items related to a scholarly work.
Very soon—if not even now—if collections do not appear on an information graph, they will be largely invisible. If the GLAM sector does not express its collections in linked data, it will not have a voice in the evolving forms of discovery and preservation being made possible by this global, interrelated collection of data.
Source: EDUCAUSE Review (March 2019)
About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.