1. A method for mining distributed scientific data for enriched product or contact valuation, comprising: obtaining at least one of product data and contact data from a plurality of independently segregated sources using an automatic searching tool; associating the obtained data with keywords relevant to the at least one product and contact data using an automatic association tool; applying a computerized semantic refinement algorithm to the associated data to obtain refined data; and automatically parsing the refined data to an applicable product database and an applicable contact database, wherein the databases contain concise information regarding at least one of a product summary, product review, top citing publications for the product, web mentions, topic summary, related topics, other products in a family, related products, competing products, names of top experts using the product, current market share, market share trends, and Science 2.0 citations, wherein the concise information correlates at least one of product efficacy and product use with the obtained data for efficient valuation thereof.