Litcius/Paper detail

NOMAD: A distributed web-based platform for managingmaterials science research data

Markus Scheidgen, Lauri Himanen, Alvin Noe Ladines, David Sikter, Mohammad Nakhaee, Ádám Fekete, Theodore L. Chang, Amir Golparvar, J.A. Marquez, Sándor Brockhauser, Sebastian Brückner, Luca M. Ghiringhelli, Felix Dietrich, Daniel Lehmberg, Thea Denell, Andrea Albino, Hampus Näsström, Sherjeel Shabih, Florian Dobener, Markus Kühbach, Rubel Mozumder, Joseph F. Rudzinski, Nathan Daelman, José M. Pizarro, Martin Kubáň, C. Gómez de Salazar, Pavel Ondračka, Hans‐Joachim Bungartz, Claudia Draxl

2023The Journal of Open Source Software151 citationsDOIOpen Access PDF

Abstract

Materials science research is becoming increasingly data-driven, which requires more effort to manage, share, and publish data. NOMAD is a web-based application that provides data management for materials science research data. In addition to core data management functions like uploading and sharing files, NOMAD allows for entering structured data using customizable forms providing the software with electronic laboratory notebook (ELN) functionalities. It automatically extracts rich meta-data from supported file formats, normalizes and converts data from these formats, and provides a faceted search with materials science-specific filters based on extracted meta-data. NOMAD integrates data analysis and machine learning tools.<br>Installations of NOMAD can be connected to share data between research institutes and can<br>publish data to an open central NOMAD service. The NOMAD software is distributed as a<br>Docker image to create data management services and as a Python package to automate the client’s use of these services.

Topics & Concepts

World Wide WebComputer scienceData scienceMachine Learning in Materials ScienceAdvanced Materials Characterization TechniquesX-ray Diffraction in Crystallography