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.
Click here for original story, Automated data exchange format creates transparency in enzymatic experiments
Source: Phys.org