Book Industry Study Group (BISG) Publishes Revised Version of “Best Practice Recommendations For Identifying Digital Products”
A new version of the document was made available today by the BISG. The original version was published on December 7, 2011.
This document will be of special interest to catalogers and those who work with metadata.
Following initial publication of the best practice recommendations in December 2011, BISG’s Identification Committee spent several months reviewing the application of the recommendations across the book industry. As part of this process, committee members requested and received feedback on how they might clarify the recommendations made. The revised recommendations, published February 25, 2013, seek to address the issues that arose through this process.
It is important to note that most of the problems discovered by BISG’s Identification Committee surrounding the misapplication of ISBNs to digital content resulted from a lack of communication. In many cases, trading partners admitted to taking whatever information was given them and doing whatever manual manipulation was needed to get a job done, then moving on. In an environment as complex and evolving as the digital supply chain, this is obviously not ideal. Regardless of the specific recommendations outlined within the Policy Statement, perhaps the most important item to stress is the need for direct communication among trading partners.
Filed under: News
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.