 |
Comprehensive, high-quality data is the foundation of a successful lab digitalization strategy. However, the reality is that in most labs data collection and collation is far from simple. This leads to inconsistent, error-prone and/or incomplete experimental data sets which are insufficient for building institutional knowledge.
This white paper, Digitalization in Chemical Development - From Data to Knowledge - discusses the importance of building institutional knowledge, data collection challenges and enabling technology to guarantee data capture. In addition, the white paper outlines:
- Why comprehensive, high-quality data sets are important
- How data is lost between the point of collection and the place of storage
- How information can effectively be shared between colleagues in a project team
