In science-based industries, R&D is distributed, decentralized and ever-changing, and so is its data. Driven by automation and informatics, scientists are faced with an unprecedented challenge of accessing data across a fluid and virtual landscape of experimental methods, diverse applications and databases. The fragmentation and scale of data makes integration of laboratory results and efforts difficult to achieve with traditional technologies.
展开▼
