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@ARTICLE{Ghiringhelli:1014984,
author = {Ghiringhelli, Luca M. and Baldauf, Carsten and Bereau,
Tristan and Brockhauser, Sandor and Carbogno, Christian and
Chamanara, Javad and Cozzini, Stefano and Curtarolo, Stefano
and Draxl, Claudia and Dwaraknath, Shyam and Fekete, Ádám
and Kermode, James and Koch, Christoph T. and Kühbach,
Markus and Ladines, Alvin Noe and Lambrix, Patrick and
Himmer, Maja-Olivia and Levchenko, Sergey V. and Oliveira,
Micael and Michalchuk, Adam and Miller, Ronald E. and Onat,
Berk and Pavone, Pasquale and Pizzi, Giovanni and Regler,
Benjamin and Rignanese, Gian-Marco and Schaarschmidt, Jörg
and Scheidgen, Markus and Schneidewind, Astrid and
Sheveleva, Tatyana and Su, Chuanxun and Usvyat, Denis and
Valsson, Omar and Wöll, Christof and Scheffler, Matthias},
title = {{S}hared metadata for data-centric materials science},
journal = {Scientific data},
volume = {10},
number = {1},
issn = {2052-4436},
address = {London},
publisher = {Nature Publ. Group},
reportid = {FZJ-2023-03524},
pages = {626},
year = {2023},
abstract = {The expansive production of data in materials science,
their widespread sharing andrepurposing requires educated
support and stewardship. In order to ensure that this
needhelps rather than hinders scientific work, the
implementation of the FAIR-data principles(Findable,
Accessible, Interoperable, and Reusable) must not be too
narrow. Besides, thewider materials-science community ought
to agree on the strategies to tackle the challengesthat are
specific to its data, both from computations and
experiments. In this paper, wepresent the result of the
discussions held at the workshop on “Shared Metadata and
DataFormats for Big-Data Driven Materials Science”. We
start from an operative definition ofmetadata, and the
features that a FAIR-compliant metadata schema should have.
Wewill mainly focus on computational materials-science data
and propose a constructiveapproach for the FAIRification of
the (meta)data related to ground-state and
excited-statescalculations, potential-energy sampling, and
generalized workflows. Finally, challenges withthe
FAIRification of experimental (meta)data and
materials-science ontologies are presentedtogether with an
outlook of how to meet them.},
cin = {JCNS-FRM-II / MLZ / JCNS-2 / JCNS-4},
ddc = {500},
cid = {I:(DE-Juel1)JCNS-FRM-II-20110218 / I:(DE-588b)4597118-3 /
I:(DE-Juel1)JCNS-2-20110106 / I:(DE-Juel1)JCNS-4-20201012},
pnm = {6G4 - Jülich Centre for Neutron Research (JCNS) (FZJ)
(POF4-6G4) / 632 - Materials – Quantum, Complex and
Functional Materials (POF4-632) / DFG project 460197019 -
FAIRmat – FAIRe Dateninfrastruktur für die Physik der
kondensierten Materie und die chemische Physik fester Stoffe
(460197019) / NOMAD CoE - Novel Materials Discovery
(951786)},
pid = {G:(DE-HGF)POF4-6G4 / G:(DE-HGF)POF4-632 /
G:(GEPRIS)460197019 / G:(EU-Grant)951786},
experiment = {EXP:(DE-MLZ)NOSPEC-20140101},
typ = {PUB:(DE-HGF)16},
pubmed = {37709811},
UT = {WOS:001095437900005},
doi = {10.1038/s41597-023-02501-8},
url = {https://juser.fz-juelich.de/record/1014984},
}