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Successful stories in NFFA-Europe Pilot and beyond

Aversa, Rossella ORCID iD icon 1
1 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)

Abstract:

Materials science is a highly active research area, covering a broad range of topics. Many communities exist which focus on specific aspects; despite their differences, all of them acknowledge the need of establishing good data management practices following the FAIR principles (Findability, Accessibility, Interoperability, Reusability). This presentation highlights the results achieved so far in this area by three research projects: the NFFA (Nanoscience Foundries and Fine Analysis)-Europe Pilot, the German Joint Lab MDMC (integrated Model and Data-driven Materials Characterization), and the German consortium NFDI-MatWerk (National Research Data Infrastructure for Materials Science and Engineering). The commonalities among them, particularly in terms of requirements, tools and infrastructure solutions are showcased. These success stories underscore the crucial importance of aligning data management activities across multiple communities, in order to enable interdisciplinary collaborations and facilitate efficient data sharing and reuse.


Volltext §
DOI: 10.5445/IR/1000162579
Veröffentlicht am 09.10.2023
Originalveröffentlichung
DOI: 10.5281/zenodo.8383121
Cover der Publikation
Zugehörige Institution(en) am KIT Scientific Computing Center (SCC)
Publikationstyp Vortrag
Publikationsdatum 26.09.2023
Sprache Englisch
Identifikator KITopen-ID: 1000162579
HGF-Programm 46.21.01 (POF IV, LK 01) Domain-Specific Simulation & SDLs and Research Groups
Weitere HGF-Programme 46.21.05 (POF IV, LK 01) HMC
Veranstaltung NFFA-Europe Workshop: FAIR and Open Data in NFFA-Europe Pilot and Beyond (2023), Garching bei München, Deutschland, 26.09.2023
Projektinformation NEP (EU, H2020, 101007417)
NFDI-MatWerk (DFG, NFDI 38/1)
Bemerkung zur Veröffentlichung This research has been supported by the research program ‘Engineering Digital Futures’ of the Helmholtz Association of German Research Centers, the Helmholtz Metadata Collaboration (HMC) Platform, NFDI-MatWerk (DFG – n. 460247524). This work was carried out with the support of the Joint Laboratory Model and Data-driven Materials Characterization (JL MDMC), a cross-centre platform of the Helmholtz Association. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101007417 within the framework of the NFFA-Europe Pilot (NEP) Joint Activities.
Schlagwörter Data management infrastructure, Data management tools, FAIR data, metadata
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