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ACD/Labs Blog

Sanji Bhal
The FAIR data guidelines are central to effective data management and the ability to leverage institutional knowledge. Unfortunately, not everyone understands the concepts. Read about the goals and benefits of FAIR data for scientists and the organization; and practical considerations for implementation.

Sanji Bhal
There are a number of common misconceptions about software in validated environments. Many arise because previous deployments of software accompanied the installation of new hardware, or have involved informatics systems that are the source of data and reports submitted directly to regulatory authorities. Here we clear up some of the grey areas that seem to have become industry myths.

TetraScience
ACD/Labs is partnering with TetraScience, the Scientific Data Cloud company, to help pharmaceutical companies increase scientific data effectiveness. We invited Simon Meffan-Main, Ph.D., and Alan Millar, Ph.D., Vice Presidents, Tetra Partner Network, TetraScience, to share some insights on cloud computing in the pharmaceutical industry.

Richard Lee
Coding can take scientists from participants to owners of their data. More and more it is becoming clear that every organization needs to employ workers with data science skills. As more scientists become data scientists, the move towards digitalized data will accelerate.

Richard Lee
Richard Lee discusses the global trend around the development of machine learning (ML) and artificial intelligence (AI) capabilities. As utilization of ML/AI continues to grow, R&D organizations will likely continue to focus on how to normalize data into a format that can be fed into a ML/AI framework.