ANDS Guides to Persistent identifiers: Expert Level

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

This module aims to provide research administrators and technical staff with a thorough understanding of the issues involved in setting up a persistent identifier infrastructure. It provides an overview of the types of possible identifier services, including core services and value-added services. It offers a comprehensive review of the policy issues that are involved in setting up persistent identifiers. Finally, a glossary captures the underlying concepts on which the policies and services are based.

Other ANDS Guides on this topic are available for the awareness level and the working level from this page.

License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution 4.0 International - CC BY 4.0
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 management
Data policy
Persistent Identifiers (PID)
PID data architecture
Research infrastructures
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Text - an explanation of a concept or a story using human readable characters formed into words, usually distinguished from graphical images.
Contributor Organization(s): 
Name: 
National Collaborative Research Infrastructure Strategy (NCRIS)
Type: 
Funding and sponsorship
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management or data skills.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Course - series of units and lessons used to teach the skills and knowledge required by its curriculum.
Target Audience - intended audience for which the learning resource was created: 
Citizen scientist
Data manager
Data professional
Early-career research scientist
Graduate student
Librarian
Repository manager
Research faculty
Research scientist
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: 
FAIR Data Principles
Framework Node: FAIR: 
Accessible
Findable
Interoperable
Re-usable