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UID:submissions.pasc-conference.org_PASC22_sess181_pos137@linklings.com
SUMMARY:P24 - A FAIR Digital Object-Based Data Lake Architecture to Suppor
 t Various User Groups and Scientific Domains
DESCRIPTION:Poster\n\nP24 - A FAIR Digital Object-Based Data Lake Architec
 ture to Support Various User Groups and Scientific Domains\n\nNolte, Kaspr
 zak, Kunkel, Wieder\n\nAcross various domains, data lakes are successfully
  utilized to centrally store all data of an organization in their raw form
 at. Doing this with overarching governance for all the collected data and 
 the developed processes prevents the creation of isolated Data Silos, whic
 h can quickly arise if small research teams operate independently of each 
 other. Having a central Data Lake, however, promises high reusability of t
 he stored data since a schema is implied on reading, which prevents an inf
 ormation loss due to ETL processes. Despite this schema-on-read approach, 
 some modeling is mandatory to ensure proper data integration, comprehensib
 ility, and quality. These data models are maintained within a central data
  catalog which can be queried. To further organize the data in the data la
 ke, different architectures have been proposed, like the most widely known
  zone architecture. Here, data is assigned to different zones according to
  the processing they were subjected to. In this work, we present a novel d
 ata lake architecture based on FAIR Digital Objects (FDO) with (high-perfo
 rmance) processing capabilities. The FAIR Digital Objects are connected by
  a provenance-centered graph. Users can define generic workflows, which ar
 e reproducible by design, making this data lake implementation ideally sui
 ted for science.
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