J 2023

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

SCHEIDGEN, Markus, Lauri HIMANEN, Alvin Noe LADINES, David SIKTER, Mohammad NAKHAEE et. al.

Základní údaje

Originální název

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

Autoři

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 a Claudia DRAXL

Vydání

Journal of Open Source Software, Journal of Open Source Software, 2023, 2475-9066

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Organizační jednotka

Přírodovědecká fakulta

Klíčová slova anglicky

materials science; data management; electronic lab notebook; FAIR; Python; javascript; database

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 11. 12. 2023 15:59, Mgr. Marie Šípková, DiS.

Anotace

V originále

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.