KM for scientists

At an upcoming meeting, there will be talk about how good data management can support ongoing research. IFPAC04 Detailed Program (near the bottom of the page)

Knowledge Management and Continuous Improvement
Chairs: Ali Afnan, FDA and Chris Watts, FDA
Real time or near- real time measurement tools typically generate large volumes of data. Real-time data processing, allowing prediction of process output, control of process variables, correlation to previously manufactured batches, and real time indication of process variability, is necessary for effective control and optimization. Ease of secure access to these data is necessary for real-time manufacturing control and quality assurance. The data may also be used for reporting, as well as in-house investigation and study. The information and knowledge developed in these programs is the foundation for good product and process design. This knowledge base can potentially support future changes and innovations if it is structured to provide both scientific understanding and a means to evaluate its applicability in different scenarios.

For a lot of scientists, this is the start of a description of what they need from their knowledge management system. Call it anything you like, but the tools have to support their work, both in the immediate analysis of the data and in the long-term use and review of these results.