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In modern data-driven science, reproducibility and reusability are keychallenges. Scientists are well skilled in the process from data topublication. Although some publication channels require source code and data tobe made accessible, rerunning and verifying experiments is usually hard due toa lack of standards. Therefore, reusing existing scientific data processingcode from state-of-the-art research is hard as well. This is why we introduceCLAIMED, which has a proven track record in scientific research for addressingthe repeatability and reusability issues in modern data-driven science. CLAIMEDis a framework to build reusable operators and scalable scientific workflows bysupporting the scientist to draw from previous work by re-composing workflowsfrom existing libraries of coarse-grained scientific operators. Althoughvarious implementations exist, CLAIMED is programming language, scientificlibrary, and execution environment agnostic.

CLAIMED -- the open source framework for building coarse-grained operators for accelerated discovery in science