data and informatics

Problem: According to the Allotrope Foundation, “Underpinning every experiment, every scientific decision, and every regulatory submission is data generated by a scientist using an instrument in the laboratory.” These mountains of analytical data are analyzed and interpreted in global R&D laboratories to help evaluate, identify, and characterize compounds and formulations.

At IDBS, our sights are firmly set on enabling collaboration, helping research and development (R&D) organizations gain greater insight from their data and getting their products to market quicker. So we asked ourselves how we could make this simpler. With E-WorkBook 10, not only will you have the power and performance you’ve come to expect from E-WorkBook, you’ll also discover the simplicity and ease of use that comes from an intuitively designed interface, and the flexibility and mobility that comes from our web-based spreadsheet technology.

The University of Dundee is to lead a major project to help tackle one of four key biosciences `big data’ challenges identified by the UK’s Biotechnology and Biological Sciences Research Council.

At IDBS, our sights are firmly set on enabling collaboration, helping research and development (R&D) organizations gain greater insight from their data and getting their products to market quicker. So we asked ourselves how we could make this simpler. With E-WorkBook 10, not only will you have the power and performance you’ve come to expect from E-WorkBook, you’ll also discover the simplicity and ease of use that comes from an intuitively designed interface, and the flexibility and mobility that comes from our web-based spreadsheet technology.

Knowing how instruments are utilized throughout your laboratory is important information to help you optimize operations, drive cost savings and improve productivity. However, capturing information on instrument ultilization in a lab comprised of an array of different manufacturers, techniques, control software and computer platforms presents a difficult challenge. Until now.

Problem: Research, QA/QC, and other laboratories ranging from large enterprise facilities to small analytical service centers are under increasing pressure to reduce costs and increase efficiency, productivity, and quality. To reduce operating costs, lab managers know they must find ways to speed turn-around and maximize throughput. To improve productivity and quality, it’s essential for them to easily access information that will allow them to efficiently staff the laboratory, allocate assets, and optimize workflows while adhering to strict quality standards and ensuring regulatory compliance.










