Ημερομηνία/Ώρα
Date(s) - 23/01/2018 - 24/01/2018
Ολοήμερο
Τοποθεσία
Auditori Palau de Congressos de Girona
Κατηγορία(ες)
The two-day Persistent Identifier festival returns January 23-24, 2018. California Digital Library, Crossref, DataCite, and ORCID invite you to Girona for a mixture of PID demos, workshops, brainstorming and updates on the state of the art.
Why build an open identifier infrastructure? So that anyone can use it to create cool tools and services for the research community. This year’s festival themes include:
PID myths
Are PIDs better in our minds than in reality? PID stands for Persistent IDentifier, but what does that mean and does such a thing exist?
Achieving persistence
So many factors affect persistence: mission, oversight, funding, succession, redundancy, governance. Is open infrastructure for scholarly communication the key to achieving persistence?
PIDs for emerging uses
Long-term identifiers are no longer just for digital objects. We have use cases for people, organizations, vocabulary terms, and more. What additional use cases are you working on?
Legacy PIDs
There are of thousands of venerable old identifier systems that people want to continue using and bring into the modern data citation ecosystem. How can we manage this effectively?
Bridging worlds
What would make heterogeneous PID systems ‘interoperate’ optimally? Would standardized metadata and APIs across PID types solve many of the problems, and if so, how would that be achieved? What about standardized link/relation types?
PIDagogy
It’s a challenge for those who provide PID services and tools to engage the wider community. How do you teach, learn, persuade, discuss, and improve adoption? What’s it mean to build a pedagogy for PIDs?
PID stories
Which strategies worked? Which strategies failed? Tell us your horror stories! Share your victories!
Kinds of persistence
What are the frontiers of ‘persistence’? We hear lots about fraud prevention with identifiers for scientific reproducibility, but what about data papers promoting PIDs for long-term access to reliably improving objects (software, pre-prints, datasets) or live data feeds?
More info here.