Plant science experiments have become more data-intensive and collaborative, and it is imperative that researchers find efficient ways to manage data streams and generate more meaningful data across disciplines. High-performance computing and advances in automation and imaging of plants has presented tremendous opportunities for data collection but challenges the way we store, aggregate, and analyze data in a systematic way.

In the era of “big data,” researchers have less time but greater responsibility to make use of this data. The Institute provides analytics, visualization software, and delivery of data to allow researchers to spend more time making data biologically relevant and turning data into decisions.