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🌟 Introduction to Conda & FAIR Data Workshop

  πŸ—“οΈ Date & Time

  • Sunday, Sep 28, 2025
  • 9:00 am - 1:00 pm


  πŸ“ Venue

  • Building 1, Level 2, Multi-purpose Room (MPR) (Desert Side)


  πŸ‘₯ Organizers

Didier Barradas Bautista
Visualization Core Laboratory
didier.barradasbautista@kaust.edu.sa

Julien Gorenflot
Research Data Management
julien.gorenflot@kaust.edu.sa

  Register

Register Here



Workshop Materials

  • Material to work:Conda
  • Slides: Here

πŸ§ͺ How to Prepare

  • Read: GO FAIR Principles

πŸ’Ό Bring With You

  • Laptop
  • ORCID ID
  • GitHub account
  • Curiosity and questions!

🎯 Workshop Goals

πŸ”Ή Conda Workshop Goals:

  • 🧰 Learn to manage packages and environments with Conda.
  • πŸ” Build reproducible workflows for data science projects.
  • 🌐 Use Conda across multiple programming languages.
  • πŸ“¦ Share project-specific environments for collaboration.
  • πŸ“Š Strengthen core data science skills at KAUST and in KSA.

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

  • πŸ” Findable – Metadata, indexing, and persistent identifiers
  • πŸ—‚οΈ Accessible – Open formats, licensing, and repositories
  • πŸ”— Interoperable – Standards, vocabularies, and APIs
  • πŸ” Reusable – Documentation, provenance, and quality

πŸ‘¨β€πŸ”¬ Who Should Attend?

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

πŸ“š What You'll Learn

🧠 From Conda

  • 🧰 Create and manage environments
  • πŸ“¦ Install and update packages
  • πŸ” Ensure reproducibility
  • 🌐 Work across languages
  • πŸ“€ Share setups with others

🧠 From FAIR/NOMAD

  • πŸ” Create a dataset with persistent identifiersΒ 
  • πŸ—‚οΈ Share a dataset with the community while giving proper credit to contributors (including you)
  • πŸ”— Conversion of data into a standard community-used format
  • πŸ” Retrieve data and information from a discipline repository.Β Use and design of Electronic Laboratory Notebooks (ELNs) for proper documentation

Agenda

Time Topic
09:00 Introduction to Conda
09:30 Working with Environments
10:00 Using Packages and Channels
10:30 Sharing Environments
11:00 Introduction to FAIR data and NOMAD
11:20 Exploring NOMAD entries, use NOMAD data
11:40 Upload data and create datasets
12:00 FAIR Data automation and examples

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training/ds/2025/introtofair.txt Β· Last modified: 2025/09/02 12:22 by Didier Barradas Bautista
Visualization Laboratory Wiki

Table of Contents

Table of Contents

  • 🌟 Introduction to Conda & FAIR Data Workshop
    • πŸ’Ό Bring With You
    • 🎯 Workshop Goals
    • πŸ‘¨β€πŸ”¬ Who Should Attend?
    • πŸ“š What You'll Learn
    • Agenda

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