News
This webinar is scheduled for Wednesday, November 28, 2018, 15:00 UTC (convert this time to your local timezone here) and is free for DCMI members.
The conference programme for DCMI 2018 has now been published. With an exciting mixture of 3 keynotes, papers, presentations, workshops and working meetings, this year's conference promises to continue the excellent tradition of DCMI annual events. (and all this in the wonderful location of Porto, Portugal!).
This webinar is scheduled for Thursday, July 19, 2018, 14:00 UTC (convert this time to your local timezone here) and is free for DCMI members.
There are real opportunities to use technology to automate content tagging, and there are real dangers that automated content tagging will sometimes inappropriately promote and obscure content.
This webinar is scheduled for Thursday, July 12, 2018, 14:00 UTC (convert this time to your local timezone here) and is free for DCMI members.
Many areas of our world are being subject to digitalisation as leaders and policymakers embrace the possibilities that can be harnessed through the capturing and exploiting of data.
We are pleased to announce that registration is now open for the annual Dublin Core™ conference to be held in Porto, Portugal, 10-13th September 2018.
This year's conference is co-located with TPDL 2018. By registering once for the DCMI conference you will automatically have free access to the TPDL conference programme as well!
Click here for more details about DCMI 2018, and how to register for the conference.
We look forward to seeing you in Porto!
This webinar is scheduled for Thursday, June 14, 2018, 14:00 UTC (convert this time to your local timezone here) and is free for DCMI members.
Successful data sharing requires that users of your data understand the data format, the data semantics, and the rules that govern your particular use of terms and values. Sharing often means the creation of “cross-walks” that transfer data from one schema to another using some or all of this information. However, cross-walks are time-consuming because the information that is provided is neither standardized nor machine-readable.