Part of the world wide eScience Semantic Grid effort is to get the data crafted by individual scientists out of the lab and onto the Grid, where it can be accessed, compared and processed within the global science community. To that end, the Smart Tea Project is focussing on the experimental process in the Lab itself in order to understand how the (usually hand written) information generated in the lab can be transformed into information accessible beyond the confines of a single experimental entry in a single paper-based lab book. This involves looking at interaction issues from capturing data in the lab environment to representing that data later for access in multiple contexts, from one scientists' review of the information, to a supervisor working with a student, to multiple scientists comparing the raw data.

Funding

• EPSRC

Principal Investigators

• dr mmc "monica" schraefel
• [hidden]
• Jeremy Frey

Other Investigators

• gvh
• hrm
• [hidden]
• trp