pid4cat is NFDI4Cat´s service for metadata rich, universal persistent identifiers. PID4Cat builds upon the handle-system (as DOIs do). PID4Cat adds a custom API to a handle server and provides a LinkML model for PID-related metadata. The metadata are stored in the handle records. pid4cat persistent identifiers are used for samples, devices, and more, to ensure consistent tracking, integration, and accessibility of resources across both central and local RDM systems.
This repository contains the pid4cat model expressed as a LinkML model. The model is generic and may be useful beyond catalysis.
Status: beta - This is in development and may still change. We are interested in feedback of potential users. Please use issues for your comments, questions or ideas!
- pid4cat model documentation
- NFDI4Cat PID concept - more information about the role and use of this model.
- examples/ - example data & python scripts
- project/ - project files (do not edit these)
- src/ - source files (edit these)
- tests/ - Python tests
Use the make
command to generate project artefacts:
make
: list all commandsmake all
: make everythingmake deploy
: deploys site
Instead of make
you may use just (especially on Windows where make is not easily available). The justfile
contains the same commands as the make file. just
is available for all major platforms and supports many install options. It can even be installed with pipx.
just
: list all commands
A big thanks to all contributors.
Main author:
- David Linke (ORCID: 0000-0002-5898-1820) - Idea, initial setup of repository and current maintainer.
The code in this repository is distributed under MIT license.
linkml-project-cookiecutter provided the base setup for this repository.
This project started as an in-kind contribution of Leibniz-Institut für Katalyse e.V. (Rostock, Germany) to the NFDI4Cat project.
After 2024-03-27 this work has been funded by the German Research Foundation (DFG) through the project "NFDI4Cat - NFDI for Catalysis-Related Sciences" (DFG project no. 441926934), within the National Research Data Infrastructure (NFDI) programme of the Joint Science Conference (GWK).