Sur l’agenda 28 octobre 2017

Advancing metadata practice : Quality, Openness, Interoperability

Washington, États-Unis

DCMI has published the Call for Participation for the DC-2017 International Conference on Dublin Core and Metadata Applications to be held in Washington, D.C., USA, October 26-29, 2017. The conference will be collocated with the ASIS&T Annual Meeting.

Call for participation

Following up on DC-2016 in Copenhagen, with its look towards the changing role of metadata in the Second Machine Age, this year’s conference will focus on technologies and practices that are advancing how we can create and manage good metadata. Interoperability and openness have been guiding principles of the DCMI community for over twenty years, and these principles have evolved through the development of Semantic Web standards and Linked Open Data. A deluge of new data sources is magnifying the perennial challenge of metadata quality but also inspiring the development of innovative tools, practices, and solutions, the focus of this year’s conference


Peer-Reviewed : Papers, Project Reports & Posters

Submission Deadline : 29 May 2017 12 June 2017
Author Notification : 21 August 2017
Final Copy : 18 September 2017
Session Presentation File : 2 October 2017

DC 2017

11th U.S. Networked Knowledge Organization Systems (NKOS) Workshop

Washington, États-Unis

The 11th U.S. Networked Knowledge Organization Systems (NKOS) Workshop will take place on Saturday, October 28 as part of DC-2017 in Crystal City, VA (Washington, D.C.)

Important Dates

Submission deadline : Friday, June 30, 2017
Notification of acceptance : Tuesday, August 15, 2017

Workshop Themes

  1. Research Data Management (RDM). NKOS welcomes presentations that focus on the knowledge organization issues related to controlled vocabularies, name authority, taxonomy, and other KOS to enable access to collections, e.g., in order to be able to replicate scientific results. What are the KOS requirements related to data storage and preservation ; and communication, coordination and collaboration to support librarian and researcher needs ?
  1. Aggregation. The objective of linked open data is to provide distributed access to vocabularies and content that uses vocabularies. Actually using vocabularies to aggregate distributed content is a special case that reconstructs collections that are now dispersed. Examples include Renaissance artist sketchbooks, natural history collections from enlightenment humanists, etc.


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