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Wednesday, January 23 • 1:30pm - 1:55pm
Silly humans, metadata is for machines -- how and why we need to fix this!

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In our current era, machine-readable metadata is just as important, if not more so, than human-readable metadata. Machine-based researcher evaluation and researcher identification can have huge effects on the course of a researcher career. Some publishers concentrate on the machine-readable layer to the detriment of the human-readable bit, while others find themselves on the opposite side of the divide. Instead of PIDs falling somewhere on this machine or human readable-spectrum in accordance with the whim of the publisher, we need to start making PID metadata consistent for both humans and machines. This presentation will explain the issue, critically examine current conventions, such as PID landing pages and content negotiation, and provide suggestions on ensuring that humans and machines are always exposed to the same metadata. We’ll even go so far as to look at radically new patterns such as a “shared machine/human annotation layer” that can expose updates, corrections, and retractions. Join Heather Staines (Hypothesis) and Will Simpson (ORCID) discuss how this idea should be brought to life. 

Speakers
avatar for Heather Staines

Heather Staines

Director Business Development, Hypothes.is
 


Wednesday January 23, 2019 1:30pm - 1:55pm
Stage 1

Attendees (24)