Article

Running out of time or money is something most of us strive to avoid. In business, as in life, the goal is to save as much of both as you can. This month we look at a few ways to achieve that goal in your lab. Let’s start with time.

Ike Harper, director for laboratory innovation at Johnson & Johnson, talks to contributing editor Tanuja Koppal, PhD, about the advantages of consolidating lab services with one provider. He explains in great
detail the steps taken at J&J to ensure that the right process and vendor were put in place in order to give the program the time and opportunity it needed to succeed. He emphasizes the need for external validation as well as internal communication and collaboration to get the necessary buy-in and support from the key people involved.

Problem: Molecular biology relies on the ability to precisely target and amplify nucleic acids, and next-generation sequencing (NGS) platforms and cloning reactions benefit from precise size selection and analytical characterization of samples. For decades, researchers have used electrophoresis with agarose gels for both size selection and fragment-length distribution assessment of DNA samples for downstream assays.

Problem: Researchers and scientists generate and collect vast amounts of data in their work, whether they are running experiments in the lab or surveying and interviewing people on the street. Researchers typically don’t deal with their research outputs until towards the end of the research cycle, when poor organization and data management can be difficult to manage and address, but causes the most problems. Poor data management results in experiments that are harder to replicate and findings that may be called into question. Papers can be retracted, careers impacted and ultimately science can suffer. When researchers move on they may pass their work to others in their research group, where poor data management results in the group inheriting indecipherable written notes they cannot use.















