🌟 Introduction to Conda & FAIR Data Workshop

🎯 Workshop Goals

Learn - on an example: NOMAD - what FAIR data is, and tools that enable to create FAIR data, or convert data to FAIR data:

• 🔍 Findable – Metadata, indexing, and persistent identifiers
• 🗂️ Accessible – Open formats, licensing, and repositories
• 🔗 Interoperable – Standards, vocabularies, and APIs
• 🔁 Reusable – Documentation, provenance, and quality

👨‍🔬 Who Should Attend?

• Researchers, data managers, and graduate students
• Anyone working with scientific data
• No prior experience required!

📚 What You'll Learn

• 🔍 – Create a dataset with persistent identifiers 
• 🗂️ – Share a dataset with the community while giving proper credit to contributors (including you)
• 🔗 – Conversion of data into a standard community-used format
• 🔁 – Retrieve data and information from a discipline repository. Use and design of Electronic Laboratory Notebooks (ELNs) for proper documentation

Agenda