How to deal with unstructured data in the lab

 The use of unstructured data, which includes text files (spreadsheets, emails, word files, etc.) and machine-readable data, is an increasingly common part of laboratory research and workflows. Traditional analysis tools struggle to evaluate and digest the vast amounts of data available, and this hinders the evaluation process of any experiments. This article looks at best practices to deal with unstructured data in the lab. 

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