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Data format standards in analytical chemistry

Rauh, David ; Blankenburg, Claudia; Fischer, Tillmann G.; Jung, Nicole 1; Kuhn, Stefan; Schatzschneider, Ulrich; Schulze, Tobias; Neumann, Steffen
1 Institut für Biologische und Chemische Systeme (IBCS), Karlsruher Institut für Technologie (KIT)

Abstract:

Research data is an essential part of research and almost every publication in chemistry. The data itself can be valuable for reuse if sustainably deposited, annotated and archived. Thus, it is important to publish data following the FAIR principles, to make it findable, accessible, interoperable and reusable not only for humans but also in machine-readable form. This also improves transparency and reproducibility of research findings and fosters analytical work with scientific data to generate new insights, being only accessible with manifold and diverse datasets. Research data requires complete and informative metadata and use of open data formats to obtain interoperable data. Generic data formats like AnIML and JCAMP-DX have been used for many applications. Special formats for some analytical methods are already accepted, like mzML for mass spectrometry or nmrML and NMReDATA for NMR spectroscopy data. Other methods still lack common standards for data. Only a joint effort of chemists, instrument and software vendors, publishers and infrastructure maintainers can make sure that the analytical data will be of value in the future. In this review, we describe existing data formats in analytical chemistry and introduce guidelines for the development and use of standardized and open data formats.


Postprint §
DOI: 10.5445/IR/1000150893/post
Veröffentlicht am 15.11.2023
Verlagsausgabe §
DOI: 10.5445/IR/1000150893
Veröffentlicht am 22.09.2022
Originalveröffentlichung
DOI: 10.1515/pac-2021-3101
Scopus
Zitationen: 6
Web of Science
Zitationen: 4
Dimensions
Zitationen: 7
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Biologische und Chemische Systeme (IBCS)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 27.06.2022
Sprache Englisch
Identifikator ISSN: 0033-4545, 1365-3075
KITopen-ID: 1000150893
HGF-Programm 43.33.11 (POF IV, LK 01) Adaptive and Bioinstructive Materials Systems
Erschienen in Pure and Applied Chemistry
Verlag De Gruyter
Band 94
Heft 6
Seiten 725–736
Schlagwörter Analytical chemistry; cheminformatics: data and standards; data standard; file format; mass spectrometry; NMR
Nachgewiesen in Dimensions
Scopus
Web of Science
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