In catalytic sciences, as in all scientific fields, we face a rapidly increasing volume and complexity of research data, which is a challenge for analysis and reuse. A team led by Prof. Jürgen Pleiss from the Institute of Biochemistry and Technical Biochemistry at the University of Stuttgart has introduced EnzymeML as a data exchange format in a recent journal article published in Nature Methods. EnzymeML serves as a format to comprehensively report the results of an enzymatic experiment and stores the data in a structured way to make it traceable and reusable.
https://www.lifetechnology.com/blogs/life-technology-science-news/automated-data-exchange-format-creates-transparency-in-enzymatic-experiments
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