Latest issue of NISO’s Information Standards Quarterly (ISQ) dedicated to Linked Data for Libraries, Archives, and Museums

Last week NISO announced that their Spring/Summer issue of Information Standards Quarterly (ISQ) is available online: www.niso.org/publications/isq

This issue focuses on linked data in the cultural sector, is guest edited by Corey Harper, and contains articles written by some Metadata Discussion Group Superstars.

Remember the MDG meeting from October, 2011? We discussed our impressions from Free Your Metadata, a video by Seth van Hooland, Max De Wilde, and Ruben Verborgh (and with very kicky music). The authors are included in this issue of ISQ where they discuss in greater detail how they used Google Refine to tidy up and reconcile data efficiently.

This issue also includes the following articles:

• A feature article by Gordon Dunsire, Corey Harper, Diane Hillmann, and Jon Phipps on Linked Data Vocabulary Management.
• Jane Stevenson in Linking Lives describes the work to enable structured and linked data from the Archives Hub in the UK.
• Ted Fons, Jeff Penka, and Richard Wallis discuss OCLC’s Linked Data Initiative and the use of Schema.org in WorldCat to make library data relevant on the web.
• In Europeana: Moving to Linked Open Data , Antoine Isaac, Robina Clayphan, and Bernhard Haslhofer explain how the metadata for over 23 million objects are being converted to an RDF-based linked data model in the European Union’s flagship digital cultural heritage initiative.
• Jon Voss provides a status on Linked Open Data for Libraries, Archives, and Museums (LODLAM) State of Affairs and the annual summit to advance this work.
• Thomas Elliott, Sebastian Heath, John Muccigrosso Report on the Linked Ancient World Data Institute, a workshop to further the availability of linked open data to create reusable digital resources with the classical studies disciplines.
• Kevin Ford wraps up the contributed articles with a standard spotlight article on LC’s Bibliographic Framework Initiative and the Attractiveness of Linked Data. This Library of Congress-led community effort aims to transition from MARC 21 to a linked data model.