Bridging the Gap Between Research and IT

摘要

At the heart of every scientific research and development effort is asignificant amount of data . Whether in the form of chemical structures or biological sequences, images, or text, data increase knowledge; support decisionmaking; and drive the discoveries that lead to new drugs, consumer products, and industrial materials. While advances ranging from high-throughput experimentation (HTE) and in vivo imaging to nextgeneration sequencing mean that R&D enterprises generate more detailed data than ever, the volume that now needs to be managed is overwhelming. There is too much to analyze, standardization is lacking, and diverse and disparate data sources make it difficult for researchers to integrate and share their findings.