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

• Authors: SCHEIDGEN Markus; HIMANEN Lauri; LADINES Alvin Noe; SIKTER David; NAKHAEE Mohammad; FEKETE Ádám; CHANG Theodore; GOLPARVAR Amir; MÁRQUEZ José A.; BROCKHAUSER Sandor; BRÜCKNER Sebastian; GHIRINGHELLI Luca M.; DIETRICH Felix; LEHMBERG Daniel; DENELL Thea; ALBINO Andrea; NÄSSTRÖM Hampus; SHABIH Sherjeel; DOBENER Florian; KÜHBACH Markus; MOZUMDER Rubel; RUDZINSKI Joseph F.; DAELMAN Nathan; PIZARRO José M.; KUBAN Martin; SALAZAR Cuauhtemoc; ONDRAČKA Pavel; BUNGARTZ Hans-Joachim; DRAXL Claudia
• Year of publication: 2023
• Type: Article in Periodical
• Magazine / Source: Journal of Open Source Software
• MU Faculty or unit: Faculty of Science
• web: https://doi.org/10.21105/joss.05388
• Doi: http://dx.doi.org/10.21105/joss.05388
• Keywords: materials science; data management; electronic lab notebook; FAIR; Python; javascript; database
• Description: 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.