Scientific R&D organizations often have a hard time wringing out the full use of their data. Some data spill out in instrument readouts, legacy platforms, electronic laboratory notebooks, or even on paper. “In fact, we had one company we worked with where we digitized information for them, and they found, I think it was, 50–75% of the content had been duplicated,” says Jennifer Sexton, director of custom services for CAS, a division of the…