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Data technology in materials modelling

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Data technology in materials modelling

Date_TXT
Germany : Springer, 2021

Auteur
Martin Thomas Horsch, Silvia Chiacchiera
Sujet
data technology;Materials modelling;Digitalization and Data Management.
Type de document
Livre

Description :

With this Springer Brief volume, we aim at disseminating information on recent
work, including work in progress, towards developing metadata standards and
digital platforms in the field of materials modelling. This work targets applications
in the engineering sciences as well as industrial research and development in
chemical and mechanical process technology. Digitalization in these fields is significantly advanced by public funding, notably through EU’s Horizon 2020 and
(prospectively) Horizon Europe programmes, the DFG programme for National
Research Data Infrastructures (NFDI) and BMBF programmes including Material
Digital, among many others.
The viability and uptake of metadata standards and digital platforms depend
strongly on an exchange of ideas between development efforts. In our field, community organizations such as the Research Data Alliance, the European Materials
Modelling Council and CECAM (Centre Européen de Calcul Atomique et
Moléculaire) support this exchange through a multitude of events, white papers, and
coordinated activities and task groups. It is our hope that all these endeavours will
collaborate as closely as possible and jointly be successful at making FAIR data
management ubiquitous in materials modelling. This work is intended as an input to
this collaboration that is necessary, in our view. It is therefore intentionally published at a stage long before these developments can be regarded as finished, and we
would like to encourage its readers to take this as an opportunity to engage in
criticism and formulate recommendations for future work.

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