The R&D industry has been evolving for decades to make the process of discovering new compounds and formulations in the laboratory easier and more effective. Today, innovative trends, focused predominantly around data and technology, encourage changes that aim to improve efficiencies across the industry. A couple of current trends we’re observing include open innovation (or externalization), as well as big data.
At ACD/Labs, we have spent two decades working with customer organizations to support effective analytical data management. While we are privy to the problems of our customers, we wondered how the wider R&D community has been addressing analytical data management and what challenges remained. With that in mind, we decided to conduct a survey last year to gather feedback from scientists (62% of survey respondents), managers, directors, and executives (26%), as well as IT and other professionals (12%) to better understand the R&D landscape.
Join us at PITTCON 2016 in Atlanta, Georgia, as we participate in a number of presentations, network with our fellow scientists and discuss upcoming mixture analysis capabilities on the ACD/Spectrus Platform.
Over the course of the last four months, we have been working with Scientific Computing to publish a series of articles on a subject that we feel very passionately about (and work very close with) at ACD/Labs – the externalization of scientific research and development (read the summary here). Essentially, we used this opportunity to address some key trends specific to this topic from various perspectives in the industry. Now that the series is complete, I wanted to give you an overview of the four articles to paint a broader picture of what we, and some of our customers and partners, are seeing today.