Biotechnological research generates large amounts of diverse data that is challenging to manage in a findable, accessible, interoperable and reusable (FAIR) manner. Various ways of standardization such as ontologies, terminologies, data standards and minimum reporting standards are being established in the research community. Establishing effective data management in international projects also presents an additional challenge. In the article, the authors present an example of good practice in establishing the management of international biotechnological projects. The approach to data management was determined through a data management plan. Data is managed using a combination of the pISA-tree local data management system, a synthetic-biological data management system and online data repositories. Such good practices will lead to the wider introduction of open data management following FAIR guidelines, which will lead to faster and cheaper biotechnological discoveries in the long run.
