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Metadata Extraction Tool and Schema Mapper for Scanning Electron Microscopy (SEM) images

Vitali, Elias Giulio Georg 1; Joseph, Reetu E. ORCID iD icon 1; Aversa, Rossella ORCID iD icon 1
1 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)

Abstract:

Standardized metadata and the proper storage of it are critical components of scientific research. However, manually extracting metadata is time-consuming and error-prone. The KIT-developed Mapping Service solves this problem by automating the process of metadata extraction and mapping as per published schema, making it easier for researchers to manage large datasets for improved accessibility and collaboration.
At its core, the Mapping Service is an automated tool for researchers in materials science to easily extract metadata from research images generated by various imaging instruments, namely Scanning Electron Microscopes (SEM), and map them according to published metadata schemas. The tool comprises two key components: a reader and a mapper. The reader reads all the metadata embedded within the images, which can contain hundreds of pieces of metadata. The mapper takes the relevant schema and cherry-picks all the key variables that the schema says should be included; it then maps these variables to their appropriate standardized name, resulting in a nicely formatted metadata document in JSON format.

Researchers in materials science who generate research images with metadata requiring efficient and consistent processing can easily adopt the Mapping Service. ... mehr


Volltext §
DOI: 10.5445/IR/1000159338
Veröffentlicht am 13.06.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Scientific Computing Center (SCC)
Publikationstyp Poster
Publikationsdatum 09.03.2023
Sprache Englisch
Identifikator KITopen-ID: 1000159338
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 2nd National Research Data Infrastructure for Materials Science and Engineering : All-Hands-on-Deck (NFDI-MatWerk 2023), Siegburg, Deutschland, 08.03.2023 – 09.03.2023
Projektinformation NEP (EU, H2020, 101007417)
NFDI-MatWerk (DFG, NFDI 38/1)
Bemerkung zur Veröffentlichung This work has been supported by NFDI-MatWerk (DFG – n. 460247524), NFFA-Europe-Pilot (EU H2020 – n. 101007417), the research program ‘Engineering Digital Futures’ and the Helmholtz Metadata Collaboration (HMC) platform by the Helmholtz Research Association.
Schlagwörter TA-MDI, MatWerk, Data Management Infrastructure, Tools
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