2017-03-03, The DC-2017 Call for Participation (CfP) has been published. DC-2017 will take place in Washington, D.C. and will be collocated with the ASIST Annual Meeting. The theme of DC-2017 is "Advancing metadata practice: Quality, Openness, Interoperability". The conference program will include peer reviewed papers, project reports, and poster tracks. In addition, an array of presentations, panels, tutorials and workshops will round out the program. The Conference Committee is seeking submissions in all tracks. The CfP is available at http://dcevents.dublincore.org/index.php/IntConf/dc-2017/schedConf/cfp.

2017-03-03, There is a growing interest in the publication and consumption of data on the Web. Government and non-governmental organizations already provide a variety of data on the Web, some open, others with access restrictions, covering a variety of domains such as education, economics, e-commerce and scientific data. Developers, journalists, and others manipulate this data to create visualizations and perform data analysis. Experience in this area reveals that a number of important issues need to be addressed in order to meet the requirements of both publishers and data consumers.

In this webinar, Bernadette Farias Lóscio, Caroline Burle dos Santos Guimarães and Newton Calegari will discuss the key challenges faced by publishers and data consumers when sharing data on the Web. We will also introduce the W3C Best Practices set (https://www.w3.org/TR/dwbp/) to address these challenges. Finally, we will discuss the benefits of engaging data publishers in the use of Best Practices, as well as improving the way data sets are made available on the Web. The webinar will be presented on two separate dates, once in Portuguese (30 March) and again in English (6 April).

For additional information and to register for either the Portuguese or English version, visit the webinar's webpage at http://dublincore.org:/resources/training/#2017DataBP. Registration is managed by DCMI's partner ASIS&T.

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.