SCHEIDGEN, Markus, Lauri HIMANEN, Alvin Noe LADINES, David SIKTER, Mohammad NAKHAEE, Ádám FEKETE, Theodore CHANG, Amir GOLPARVAR, José A. MÁRQUEZ, Sandor 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 KUBAN, Cuauhtemoc SALAZAR, Pavel ONDRAČKA, Hans-Joachim BUNGARTZ and Claudia DRAXL. NOMAD: A distributed web-based platform for managing materials science research data. Journal of Open Source Software. Journal of Open Source Software, 2023, vol. 8, No 90, p. 1-4. ISSN 2475-9066. Available from: https://dx.doi.org/10.21105/joss.05388.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name NOMAD: A distributed web-based platform for managing materials science research data
Authors SCHEIDGEN, Markus, Lauri HIMANEN, Alvin Noe LADINES, David SIKTER, Mohammad NAKHAEE, Ádám FEKETE, Theodore CHANG, Amir GOLPARVAR, José A. MÁRQUEZ, Sandor 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 KUBAN, Cuauhtemoc SALAZAR, Pavel ONDRAČKA, Hans-Joachim BUNGARTZ and Claudia DRAXL.
Edition Journal of Open Source Software, Journal of Open Source Software, 2023, 2475-9066.
Other information
Original language English
Type of outcome Article in a journal
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Organization unit Faculty of Science
Doi http://dx.doi.org/10.21105/joss.05388
Keywords in English materials science; data management; electronic lab notebook; FAIR; Python; javascript; database
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 11/12/2023 15:59.
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. Installations of NOMAD can be connected to share data between research institutes and can publish data to an open central NOMAD service. The NOMAD software is distributed as a Docker image to create data management services and as a Python package to automate the client’s use of these services.
PrintDisplayed: 26/7/2024 15:25