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ACD/Labs Blog

From new instruments and software to the rise of the digital lab, the landscape of analytical chemistry data is constantly evolving. To stay on top of trends, we launch a comprehensive survey every few years focused on analytical chemistry data and its management. Here's what we learned.

Data integrity has become an industry buzzword, but do people really understand what it means? A recent survey we conducted with Chemistry & Engineering News (CE&N) showed that scientists think about data integrity differently. Read on to learn more about our survey and the results we found.

Analytical data plays a critical role in R&D by supporting critical decision-making on a daily basis. Whether a synthetic chemist is looking to see if their reaction yielded the product they expected, a group of scientists in development are building an impurity control strategy, or experts in manufacturing are collecting data for regulatory submissions, applications of analytical data are ubiquitous. At a time when the volume of insight-rich data one can gather is extraordinary, chemists working in academic research, industry, and non-profit organizations alike face regular challenges in managing and sharing their data.

In 2017 we conducted our first formal customer service oriented survey. Completed by 482 industry professionals working in pharmaceuticals, academia, agrosciences, life science, and chemicals and materials science, our survey explored satisfaction with ACD/Labs’ support, responsiveness, employee knowledge, and overall software quality. A summary of the results is presented here.

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.