Informatics

Electronic laboratory notebooks (ELNs), one component of a lab’s information infrastructure, help laboratories capture and manage knowledge, streamline data management, protect intellectual property and foster collaboration. Both non-specific/generic ELNs (which compete directly against paper notebooks) and application/task-specific ELNs exist, each with their own fans.

Big data might bring more benefits to drug discovery than to any other field. For one thing, discovering a new drug turns out to be incredibly difficult. On average, a pharmaceutical company tries about 10,000 drug candidates for every one that ends up on the market. Plus, the process of discovering and developing a new drug costs hundreds of millions of dollars and takes more than a decade—some say more for both measurements.

The goal of achieving a truly paperless lab has been discussed for the past 20 years, but it is now, with technology catching up to the discussion, finally materializing. Nowhere is this more evident than in pharmaceutical Quality Assurance/Quality Control (QA/QC) laboratories.

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.

Big data is the current hot buzzword in data analysis. Laboratory managers helming such a project don’t necessarily require the expertise to directly implement a big data project, but it is advisable that they have a general understanding of the process to be able to set realistic goals and timetables.














