Another New Experimental Resource from OCLC Research: ArchiveGrid
Those of you in the archive or research library world may be familiar with ArchiveGrid®, a database and discovery service that grew out of RLG’s Archival Resources service which leveraged all the collection level descriptions in the union catalog and aggregated the encoded finding aids that institutions made available for their collections. For many years ArchiveGrid was a subscription service and it has continued as such within the OCLC environment.
Although ArchiveGrid is currently available as a subscription service at archivegrid.org, it will eventually become a free discovery system. To facilitate this transition, OCLC Research is developing a new ArchiveGrid discovery interface that is now freely available. To try it out, go to http://experimental.worldcat.org/archivegrid.
The great work of my Research colleagues, Bruce Washburn and research assistant Ellen Ast, has produced this experimental version of ArchiveGrid which will signficantly expand the work and impact of OCLC Research in the archives arena.
Read the Complete Blog Post
Direct to ArchiveGrid Discovery Interface
See Also: More Experiments, Cool Tools, and Research Reports from OCLC Research
1. Demo Web App: LibraryFinder: A New Web App By OCLC Researchers
2. Demo Web App: WorldCat Identities Network
Awesome and full of potential not only in the library world.
4. Report: Single Search: The Quest for the Holy Grail
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.