|The Metadata Community — Supporting Innovation in Metadata Design, Implementation & Best Practices|
Global navigation options:
Upcoming DCMI Events
» Feb. 28: Webinar with Osma Suominen: "From MARC silos to Linked Data silos? Data models for bibliographic Linked Data". Information & registration (Free to DCMI members)
» Oct. 26-29: DC-2017, Washington, D.C. (Crystal City, Virginia), USA
DCMI is a project of
ASIS&T Upcoming Events
» 3 March 2017: ASIS&T Regional Meeting at OCLC, Dublin Ohio, USA
» 22-26 March 2017: The AI Summit, Vancouver, Canada
» 19-21 April 2017: RDAP17: Research Data Access and Preservation Summit 2017, Seattle, Washington, USA
» 28-30 Sept. 2017: EuroIA 2017: Adaptation and designing for change, Stockholm, Sweden
» Oct. 27-Nov 1, 2017: ASIS&T Annual, Washington, D.C. (Crystal City, Virginia), USA
Example Search: "Dublin Core" (quotation marks included)
2017-02-02, Many libraries are experimenting with publishing their metadata as Linked Data to open up bibliographic silos, usually based on MARC records, to the Web. The libraries who have published Linked Data have all used different data models for structuring their bibliographic data. Some are using a FRBR-based model where Works, Expressions and Manifestations are represented separately. Others have chosen basic Dublin Core, dumbing down their data into a lowest common denominator format. And still others are using variations of BIBFRAME. The proliferation of data models limits the reusability of bibliographic data. In effect, libraries have moved from MARC silos to Linked Data silos of incompatible data models. There is currently no universal model for how to represent bibliographic metadata as Linked Data, even though many attempts for such a model have been made.
In this webinar, by Osma Suominen of the National Library of Finland, will present: (1) a survey of published bibliographic Linked Data, the data models proposed for representing bibliographic data as RDF, and tools used for conversion from MARC records; (2) an analysis of different use cases for bibliographic Linked Data and how they affect the data model; and (3) recommendations for choosing a data model.
For additional information and to register, visit the webinar's webpage at http://dublincore.org:/resources/training/#2017suominen. Registration is managed by ASIS&T.
2016-12-15, The DCMI Governing Board is pleased to announce that University of Edinburgh has joined DCMI as an Institutional Member. The University of Edinburgh is a world-leading centre of academic excellence with the mission to create, disseminate and curate knowledge. As a great civic university, Edinburgh especially values its intellectual and economic relationship with the Scottish community that forms its base and provides the foundation from which it will continue to look to the widest international horizons, enriching both itself and Scotland. Alasdair MacDonald with the Edinburgh University Library will represent the University on the DCMI Governing Board. For information on becoming a DCMI Institutional Member, visit the DCMI membership page at http://dublincore.org/support/.
2016-11-11, DCMI is pleased to announce that Göttingen State and University Library (SUB Göttingen) has joined DCMI as an Institutional Member. SUB Göttingen is one of most important research libraries in Germany, plays a leading role in a large number of national and international projects involving the optimization of literature and information provision and the establishment and development of digital research and information infrastructures. Its scope of activities include the cooperative development of a Germany-wide service infrastructure for the acquisition, licensing and provision of electronic resources; the coordination of large-scale joint research projects for developing research infrastructures in the humanities and cultural sciences in Germany; and the consortial establishment of Open Access research infrastructures linked across Europe and the world. Stefanie Rühle with the Data Conversion Group will represent SUB Göttingen on the DCMI Governing Board.
The Dublin Core Metadata Initiative, or "DCMI", is an open organization supporting innovation in metadata design and best practices across the metadata ecology. DCMI's activities include work on architecture and modeling, discussions and collaborative work in DCMI Communities and DCMI Task Groups, global conferences, meetings and workshops, and educational efforts to promote widespread acceptance of metadata standards and best practices.
DCMI maintains a number of formal and informal liaisons and relationships with standards bodies and other metadata organizations.
Peer Reviewed Proceedings:
DC-2015 | DC-2014 | DC-2013 | DC-2012 | DC-2011 | DC-20010 | DC-2009 | DC-2008 | DC-2007 | DC-2006 | DC-2005 | DC-2004 | DC-2003 | DC-2002 | DC-2001
Full Conference Proceedings:
Copyright © 1995-2017 DCMI. All Rights Reserved.