XLUM: an open data format for exchange and long-term preservation of luminescence data

The concept of open data has become the modern science meme, and major funding bodies and publishers support open data. On a daily basis, however, the open data mandate frequently encounters technical obstacles, such as a lack of a suitable data format for data sharing and long-term data preservatio...

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Hauptverfasser: Kreutzer, Sebastian (VerfasserIn) , Grehl, Steve (VerfasserIn) , Höhne, Michael (VerfasserIn) , Simmank, Oliver (VerfasserIn) , Dornich, Kay (VerfasserIn) , Adamiec, Grzegorz (VerfasserIn) , Burow, Christoph (VerfasserIn) , Roberts, Helen (VerfasserIn) , Duller, Geoff (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 06 Jun 2023
In: Geochronology
Year: 2023, Jahrgang: 5, Heft: 1, Pages: 271-284
ISSN:2628-3719
DOI:10.5194/gchron-5-271-2023
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.5194/gchron-5-271-2023
Verlag, kostenfrei, Volltext: https://gchron.copernicus.org/articles/5/271/2023/
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Verfasserangaben:Sebastian Kreutzer, Steve Grehl, Michael Höhne, Oliver Simmank, Kay Dornich, Grzegorz Adamiec, Christoph Burow, Helen M. Roberts, Geoff A. T. Duller

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520 |a The concept of open data has become the modern science meme, and major funding bodies and publishers support open data. On a daily basis, however, the open data mandate frequently encounters technical obstacles, such as a lack of a suitable data format for data sharing and long-term data preservation. Such issues are often community-specific and best addressed through community-tailored solutions. In Quaternary sciences, luminescence dating is widely used for constraining the timing of event-based processes (e.g. sediment transport). Every luminescence dating study produces a vast body of primary data that usually remains inaccessible and incompatible with future studies or adjacent scientific disciplines. To facilitate data exchange and long-term data preservation (in short, open data) in luminescence dating studies, we propose a new XML-based structured data format called XLUM. The format applies a hierarchical data storage concept consisting of a root node (node 0), a sample (node 1), a sequence (node 2), a record (node 3), and a curve (node 4). The curve level holds information on the technical component (e.g. photomultiplier, thermocouple). A finite number of curves represent a record (e.g. an optically stimulated luminescence curve). Records are part of a sequence measured for a particular sample. This design concept allows the user to retain information on a technical component level from the measurement process. The additional storage of related metadata fosters future data mining projects on large datasets. The XML-based format is less memory-efficient than binary formats; however, its focus is data exchange, preservation, and hence XLUM long-term format stability by design. XLUM is inherently stable to future updates and backwards-compatible. We support XLUM through a new R package xlum, facilitating the conversion of different formats into the new XLUM format. XLUM is licensed under the MIT licence and hence available for free to be used in open- and closed-source commercial and non-commercial software and research projects. 
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