Persistent Identifiers: Current Features and Future Properties (Webinar)

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

This webinar is for people who know what persistent identifiers are, but are interested in knowing much more about what you can actually do with them. In other words, what are the services that are being built on top of identifier systems that could be useful to the digital preservation community? We will cover topics such as party identification, interoperability and (metadata) services such as multiple resolution. Following on from that, we will explain more about the next generation of resolvers and work on extensions, such as specification of the URN r-component semantics.

This part 2 of a 3 part series.

Authoring Person(s) Name: 
Juha Hakala
Authoring Organization(s) Name: 
National Library of Finland
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Data citation
Data discovery and identification - Core Trustworthy Data Repositories Requirements
Data publication
Data reuse - Core Trustworthy Data Repositories Requirements
Persistent Identifiers (PID)
PID data architecture
Published / Broadcast: 
Friday, June 16, 2017
Publisher - organization credited with publishing or broadcasting the learning resource: 
Project THOR
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Event - time-based happening that is portrayed or covered by the learning resource, e.g., a webinar.
Contributor Organization(s): 
Name: 
National Library of Finland
Type: 
Funding and sponsorship
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Lesson - detailed description of an element of instruction in a course, [could be] contained in a unit of one or more lessons, and used by a teacher to guide class instruction. Example: presentation slides on a topic.
Target Audience - intended audience for which the learning resource was created: 
Data professional
Data supporter
Research scientist
Data manager
Librarian
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
Up to 1 hour
Framework - A community-based organization plan or set of steps for education or training: 
ICSU - World Data System Training Resources Guide