i3 2021 | 13-16 September
i3 is our premier annual customer event where we bring together science, IT and R&D business leaders to share ideas, create new insights and advance innovation!
Aspen Survey: Biopharma Development Data Management
In a recent survey of biopharma development teams, participants reported spending an average of 1 day each week, or 20% of their time on data administration.
Datasheet: Upstream Processing
IDBS Polar Bioprocess seamlessly integrates both process and analytical data throughout your workflows to deliver greater insight, enabling you to optimize upstream unit operations for maximum productivity.
Sample Characterization with LabVoice
VideoHow many times a day do you walk across the lab to get to your ELN and record your data? Whatever the number, it’s still too many. It pulls you away from your bench, away from the science. It’s a…
The Importance of Compliance in R&D
eBookRegardless of the industry an organization operates in, remaining compliant with ever-changing legislation is an important aspect of corporate operations. For businesses that focus on research and development however, it’s essential. This is because of the frequently high-risk…
Streamlining R&D Processes and Reducing Inefficiencies
eBook’This is how we’ve always done it’ is a very dangerous statement to be made within any business, especially in R&D. This one line illustrates that a team may have fallen into the trap of relying on old processes which…
Creativity in the Workplace
eBookIn a research and development environment, creativity is not only the catalyst to new discoveries, it’s also the fuel for success in the wider business. Having researchers and scientists thinking creatively, approaching problems and challenges from new angles, and thinking…
The Importance of Metadata
eBookToday there is an urgent need for the pharmaceutical industry to improve their data infrastructure to support metadata collection and curation so that data can be used and reused. This is because data doesn’t have much meaning without their accompanying…
Master Data Management for the Scientist
Master data management (MDM) refers to data governance principles and practices which an organization may choose to implement – using a combination of people, processes and technology – to reduce ambiguity causing wasted time to maximize the value of…
High-Throughput Data Management
eBookOver the past decades you’ve adopted several new exciting technologies like miniaturization, parallelization and high-throughput systems. Perhaps you’ve successfully set up a neat scale-down operation based on microbioreactors? Now, you’re able to do more. More experiments…
