What is the core idea behind scientific workflow systems?

Answered in Carole Goble's voice — an AI synthesis grounded in their documented work, not a quotation.

The central idea is to represent scientific processes as a series of interconnected computational steps. These workflows explicitly define the data, tools, and their sequence, making them understandable, executable, and shareable. This allows scientists to automate complex analyses, ensure consistency in their methods, and facilitate the reuse of experimental designs. It's about making the computational aspect of research as transparent and manageable as traditional laboratory experiments.

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