data storage

As technology advances, a digital transformation has begun in laboratories around the world. Driven by the need to improve data quality and increase the value derived from the investment in generating those data, data management systems, devices, and their workflows are becoming more connected and integrated, ushering in the age of the digital laboratory. The digital laboratory is one where paper lab notebooks are replaced with fully digital data, complete with rich metadata, and generated using integrated workflows. Such data are easy to find, reuse, and reproduce. Further digitization and workflow integration to operate laboratory instruments will advance the burgeoning digital laboratory.

Increasingly, biopharma research & development experimental data are siloed and stored in varying formats. This makes it difficult to search, retrieve and share data. Furthermore, these data are often not interoperable, making it impossible to compare. Data needs to be better managed to be more collaborative, shareable, and interoperable, in order to accelerate research and continue making breakthroughs. Data standardization aims to forge a path toward machine-readable and actionable data that can be found, accessed, and reused with minimal human intervention.