FAIRmat Tutorial 13, presented by FAIRmat Area A Synthesis, introduces NOMAD and NOMAD Oasis as essential tools for research data management (RDM). This tutorial will specifically demonstrate how to utilize these tools for managing experimental materials science data, with a particular focus on synthesis data.
Participants will learn about NOMAD's versatile data model, which ensures data interoperability, and its various types and levels of schemas, including custom yaml schemas, community standards, plugins, and BaseSections. The tutorial will also cover the integration of NOMAD with Electronic Lab Notebooks (ELNs) to enhance data documentation and management.
A practical session will guide users through a typical synthesis data example, demonstrating how to start from NOMAD's built-in ELNs, develop a data schema, convert it into a NOMAD plugin for automated data processing, and deploy the schema on a local NOMAD Oasis. This hands-on approach will provide invaluable insights into customizing NOMAD to fit specific experimental workflows.
The session is designed to serve various user groups, including standard users, data stewards & data scientists, and system administrators, ensuring that each participant gains a comprehensive understanding of the tool's capabilities and applications in their respective roles. Join us to explore how NOMAD can transform your approach to data management in experimental synthesis, leading to more efficient and coherent research outputs - FAIR principles in practice.
Register here!
In this online tutorial we will cover the first steps with NOMAD and NOMAD Oasis. We will briefly cover the core NOMAD functionality on exploring, uploading, sharing and publishing data with NOMAD. We will then explore options for creating your own schemas and plugins to support new file formats and create custom electronic lab notebooks (ELNs), we show ways to customize an NOMAD Oasis, and how to contribute to the development of NOMAD and its ecosystem.
The tutorial includes an introduction talk about NOMAD and FAIRmat, including the latest changes and features in NOMAD. This is followed by a practical follow along session, where we go through a Jupyter notebook that demonstrates how to use NOMAD for managing custom data and file types. Based on a simple given dataset, we show how to model the data in a schema, do parsing and normalization, process data, access existing data with NOMAD's API for analysis, and how to add visualization to your data.
_Zeichenfläche%201.png)
Learn how to use the NOMAD tools by participating in the NOMAD virtual tutorial series!
