Daten wie Sand am Meer – Datenerhebung, -strukturierung, -management und Data Provenance für die Ostseeforschung

Bruder, Ilvio; Klettke, Meike; Möller, Mark Lukas; Meyer, F H; Heuer, Andreas; Jürgensmann, Susanne; Feistel, Susanne

doi:10.1007/s13222-017-0259-4

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…In Kobos et al (2021), an optimized data workflow is used to provide critical information in a timely manner and thus optimize the quality of research results. In the maritime research environment, an example of structuring and managing heterogeneous environmental data sets can be found (Bruder et al, 2017). This work also highlights the need for research data management.…”

Section: Technical Background Of Data Managementmentioning

confidence: 96%

Information reuse of nondestructive evaluation (NDE) data sets

Leinenbach,

Stumm,

Krieg

et al. 2024

J. Sens. Sens. Syst.

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Abstract. To achieve added value from data spaces and data sets in general, an essential condition is to ensure the high quality of the stored information and its continuous availability. Nondestructive evaluation (NDE) processes represent an information source with potential for reuse. These provide essential information for the evaluation and characterization of materials and components. This information, along with others such as process parameters, is a valuable resource for data-driven added value, e.g., for process optimization or as training data for artificial intelligence (AI) applications. However, this use requires the continuous availability of NDE data sets as well as their structuring and readability. This paper describes the steps necessary to realize an NDE data cycle from the generation of information to the reuse of data.

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Section: Technical Background Of Data Managementmentioning

confidence: 96%