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"A very substantial problem in large R&D organizations is the creation of "data tombs" by well-meaning IT departments. When presented with a large amount of data and other information, IT departments typically create databases to store the data and provide interfaces by which users can query the data. Unfortunately, there are some problems with this approach. Non-IT users are typically very poorly equipped to perform queries of even middling sophistication, especially when they require the use of a query language such as SQL to accomplish. The upshot is that the data gets into the database, but it doesn’t come out again. The data becomes entombed in the database, unavailable for use by the scientists who need it to make decisions. This is one of the key causes of relatively low ROI on research investments." — The database: where data goes to die. Pfizer SemWeb in Life Sciences Workshop Position Paper |
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