PID Training Materials & Guides

This is a growing, curated collection of publicly available training materials, handbooks, cookbooks, documentation, and guides focused on persistent identifiers (PIDs) β€” both in general and for specific PID systems and providers.

The resources originate from various institutions and initiatives and are not maintained by us. As a work in progress, this overview will evolve to reflect the needs of the NFDI research communities. Suggestions are welcome.

πŸ”Ž Introductory Resources

πŸ“˜ PIDs 101: A Beginners' Guide to Persistent Identifiers

Introductory slide deck by Alice Meadows et al. for those new to persistent identifiers (EN)

πŸ” What lies beneath – A closer look at the PID ecosystem

Slides of a workshop by RenΓ© van Horik and Wim Hugo exploring the structure and governance of the PID ecosystem (EN)

πŸ“˜ Getting Started – DataCite

A brief introduction to DOIs and metadata with DataCite (EN)

πŸ”— Persistente Identifikatoren

Introductory text by forschungsdaten.info on persistent identifiers in the German RDM landscape (DE)

🧭 Digital Presence Checklist

Checklist by Shelley Stall et al. to assess and improve the digital visibility of research outputs (EN)

πŸ§ͺ Persistent Identifiers – CERN

Overview of how PIDs are used at CERN (EN)

πŸ—οΈ Conceptual & Infrastructure Perspectives

πŸ—οΈ Persistent Identifiers: The Building Blocks of the Research Information Infrastructure

Article by A. Meadows, L. L. Haak, and J. Brown on the foundational role of PIDs in research infrastructure (EN)

πŸŽ₯ Video & Multimedia Training

πŸŽ₯ Video: Was sind PIDs?

Short introductory video on PIDs by the Lower Saxony FDM network for universities of applied sciences, FDM-ndsHAW (DE)

🎬 The Paper and The Data: Module 5 – Persistent Identifiers

Video from AGU explaining PID use in scholarly publishing, part of a modular training series (EN)

πŸ“‘ Slides: The Paper and The Data – Module 5

Slide deck accompanying the AGU training module on PIDs in scientific publishing workflows (EN)

πŸŽ“ ORCID Video Tutorials

German-language videos introducing ORCID and its usage in the academic landscape (DE)

πŸŽ“ Findability of Research Data and Software Through PIDs and FAIR Repositories

Video presentation by Angelina Kraft and Katrin Leinweber on the FAIR use of PIDs (EN)

πŸ“˜ Guides & Handbooks

πŸ“Œ DOI und ePIC – Ein Vergleich

German-language workshop material comparing DOI and ePIC PID systems (DE)

πŸ‡©πŸ‡ͺ In drei Schritten zur DOI – TIB

German guide to assigning DOIs using DataCite (DE)

🧾 Fabrica Handbuch – TIB Wiki

Comprehensive German user manual for working with DataCite Fabrica (DE)

🌐 PID Archives – EOSC

Collection of background materials and contributions related to PIDs in the EOSC context (EN)

🎯 PID Guide – pidwijzer.nl

Interactive tool for selecting appropriate PID systems (EN)

🧰 ARDC Resource Hub

Resources, tools, and training materials related to persistent identifiers from the Australian Research Data Commons (EN)

πŸ’¬ The PID Forum

Community platform for questions and discussions around PIDs (EN)

πŸ”§ EUDAT B2SAFE-B2STAGE Training

Technical training materials for using EUDAT’s PID-enabled data infrastructure (EN)

πŸ“˜ DataCite Training

Official training portal by DataCite offering guides, videos, and live workshops (EN)

🏷️ ROR Documentation

Documentation hub for the Research Organization Registry, including API and metadata guidance (EN)

🧾 ePIC API Documentation

Comprehensive technical documentation for implementing and managing persistent identifiers using the ePIC API (EN)

βš—οΈ pid4cat – PID Model for Catalysis

Documentation of the pid4cat model for FAIR data in catalysis, using the Handle system and operated by HLRS Stuttgart (EN)

🍳 FAIR Cookbook – Life Sciences

Open resource with practical recipes to implement FAIR principles in the life sciences (EN)

πŸ§ͺ FAIR Software Checklist

Interactive checklist to assess the FAIRness of research software projects (EN)

πŸ§‘β€πŸ« NFDI4Ing Training Platform

Collection of German-language training and teaching materials on research data management topics (DE)