Closing Observations Bioinformatics Workshop The National Academies F e b r u a r y 16, 2 0 0 0 Washington, D.C. Gio Wiederhold Department of Computer Science Stanford University The workshop covered the generation and integration of biologic databases, theft interoperation, and integrity maintenance. It addressed modeling and simulation, data mining, and visualization of the results. There was little emphasis on clinical effects. It does take a long time to close the data loop, where the results of bioinformatics research transition into medical practice. Only then we will be able to collect observations taken from patient populations, validating findings now inferred from concepts based on more abstract models. Initiating that loop .~is also extremely costly and requires a concentration of resources found only in the pharmaceutical industry, Improvements in management and perhaps some constraints on claiming ownership of intellectual property at preclinical stages might be beneficial for effective industry-academic research collaboration. I observed two recurring topics in the workshop and during discussions in the breaks: 1. The importance of keeping knowledge about the data accessible, sharable, and subject to correction. 2. The importance, and the difficulties of exploiting data from multiple sources. These observations are of course
/lp/association-for-computing-machinery/closing-observations-lrA7bocoRF