Electronic Laboratory Notebooks
Record of a NFDI MatWerk Webinar on YouTube
Video Lessons
NFDI-MatWerk Outreach
Learning
Explore a constantly evolving teaching area with various learning resources related to research data management (RDM).
RDM basics: what is it?
Eight ideas carry most of research data management. Know these and the rest follows.
1
FAIR principles
Findable, accessible, interoperable, reusable: the measure of well-kept data.
2
Data life cycle
Data has stages, from planning to archive. Each one deserves a decision.
3
Metadata
Data about your data: the part that makes it findable and understandable later.
4
Storage
No backup, no mercy. Where your data lives decides whether it survives.
5
Organization
Private or group structures: agree on folders, names and versions before the chaos starts.
6
Repositories
Publish data sets so others can find, cite and reuse them.
7
Persistent identifiers
A PID keeps your data citable even when servers and URLs change.
8
Archiving
What must remain after the project ends, and for how long.
Advanced RDM and NFDI-MatWerk tools
Solutions and case studies are collected on our website and the list keeps growing, so it is worth checking back.
Semantics
Metadata schemas, ontologies and more.
Demonstrators
Working examples you can try and adapt.
Architecture
Our solutions, sorted by component.
Showcase
Impact and highlights for the MSE community.