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Presentation . 2023
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Presentation . 2023
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Design of metadata schemas for ion chromatography in applied plasma sciences

Authors: Wagner, Robert; Chaerony Siffa, Ihda; Becker, Markus M.; Waltemath, Dagmar;

Design of metadata schemas for ion chromatography in applied plasma sciences

Abstract

This work focuses on the design of two standardized metadata schemas for ion chromatography. These schemas built upon the JSON standard. Their design is based on the ASTM E 1151 norm for terms and relationships in ion chromatography and user-feedback resulting from a coupled data stewardship in applied plasma science. Both schemas contain relevant metadata for the description of the instrument setup, data processing method, sample parameters and quality assurance parameters. The metadata schemas were designed and tested in a laboratory workflow using the research data management tool Adamant [I. Chaerony Siffa et al., https://doi.org/10.12688/f1000research.110875.2]. The presented use-case demonstrates the paradigms of modern research data management for research in the laboratory. The collected metadata can be sent directly from Adamant to the institute's instance of the electronic lab notebook eLabFTW [CARPi et al., https://doi.org/10.21105/joss.00146] to enable a smoother transition from the traditional handwritten laboratory notebooks to a digital solution, which increases both the interoperability and accessibility of the collected metadata. The work is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – [NFDI46/1] - 501864659.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green