The curation of data and the concept of the associated metadata are relevant for the whole of NFDI. A number of specific challenges arrive with the focus on Big Data, as is e.g. being handled in fundamental physics experiments, caused by the huge data streams and the needs for heavy on-line processing, including data reduction. This results in a loss of information, and the degree of information contained in the metadata has direct consequences for the degree of irreversibly altered and reduced data. Data which is lost cannot be recreated, however metadata capturing the decision process can enable to rerun the selection algorithm active at that time on simulated data for further validation.
Solutions to address these challenges must not, however, be designed in isolation but must find the applicability also in research data management (RDM) tools and services. Vice-versa, concepts and implementations in RDM tools and services must be flexible enough to accommodate requirements in the future. PUNCH4NFDI has therefore developed a concept to address these problems and initiate discussions with other communities.
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