Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Scientific workflows describe the scientific process from experimental design, data capture, integration, processing, and analysis that leads to scientific discovery. Laboratory Information Management Systems (LIMS) coordinate the management of t lab tasks, samples, and instruments and allow reasoning on business-like parameters such as ordering (e.g., invoicing) and organization (automation and optimization) whereas workflow systems support the design of workflows in-silico for their execution.  present an approach that supports reasoning on scientific workflows that mix t and digital tasks. Indeed, experiments are often first designed and simulated with digital resources in order to predict the quality of the result or to identify the parameters suitable for the expected outcome. ProtocolDB allows the design of scientific workflows that may combine t and digital tasks and provides the framework for prediction and reasoning on performance, quality, and cost.
['Zoé Lacroix', 'Christophe Legendre', 'Sukru Tuzmen']
I am writing a research paper on a idea Reasoning on Scientific Workflows
[{"from": "human", "value": "I am writing a research paper on a idea Reasoning on Scientific Workflows"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Scientific workflows describe the scientific process from experimental design, data capture, integration, processing, and analysis that leads to scientific discovery. Laboratory Information Management Systems (LIMS) coordinate the management of t lab tasks, samples, and instruments and allow reasoning on business-like parameters such as ordering (e.g., invoicing) and organization (automation and optimization) whereas workflow systems support the design of workflows in-silico for their execution.  present an approach that supports reasoning on scientific workflows that mix t and digital tasks. Indeed, experiments are often first designed and simulated with digital resources in order to predict the quality of the result or to identify the parameters suitable for the expected outcome. ProtocolDB allows the design of scientific workflows that may combine t and digital tasks and provides the framework for prediction and reasoning on performance, quality, and cost."}]