Need for a common language and minimum information standards for bioprocess development

The availability of minimum information standards (MIS) has direct impacts on the ability to reuse experimental data and to store and manage data according to the principles of open access and findable, accessible, interoperable and reusable (FAIR) data.¹as well as cost and resource efficiency. Such standards ensure that datasets are easy to find, verify and analyze for the broader scientific community.².

The absence of GIS prevents the reuse of experimental data, leading to unnecessary repetition of experiments. In addition, this limits repeatability: a Nature One survey found that more than 70 percent of researchers reported failing to replicate another scientist’s experiment, and more than half were unable to replicate their own.³. Being able to reuse data can save time and resources, which can help optimize resources for publicly funded research, while accelerating research development and innovation. Harnessing the full potential of digitalization and artificial intelligence makes access to usable secondary data sets increasingly important.