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Data provenance and traceability in multi-domain laboratory environments: ALAMEDA - A scalable multi-domain metadata management platform

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Data provenance and traceability in multi-domain laboratory environments: ALAMEDA - A scalable multi-domain metadata management platform
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Abstract
Modern Earth sciences produce a continuously increasing amount of data as well as corresponding metadata from observations, measurements and sampling. Depending on the respective geoscientific parameter, essential metadata are currently stored in a variety of databases using different standards and semantics. The completeness and availability of these metadata for the community are essential with regard to the sustainable, long-term use of the actual measurement data. This includes, in particular, information on the origin, processing, measurement and post-processing of samples and data. Current metadata handling procedures are therefore obstructive for interoperability in terms of limited data access, exchange, searchability and comparability, and contradict the FAIR principles. ALAMEDA aims at managing, visualizing and sharing metadata gathered in lab and field experiments or generated by models or simulations. It allows linking data between different software applications already used by the community to manage lab, sensor, sample and workflow data. Furthermore, ALAMEDA enables users to automatically merge and compile metadata in a standardized format that can be referenced in any publication.
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