The Drexel Student Chapter of ASIS, in cooperation with the faculty of the College of Information Science and Technology and the Delaware Valley Chapter (DVC) of the American Society for Information Science annually honors excellence in student research and writing in Information Science.
The award is open to undergraduate and graduate students in the college of Information Science and Technology. Faculty and students are encouraged to nominate student research papers and projects in any area of Information Science. Self-nominations are acceptable.The works should be, with refinement, capable of being submitted for publishing and/or distribution to a wider community. They cannot be part of a doctoral dissertation. Submit two copies of the paper/project to the ASIS Mail Folder in the Rush Lobby. include student Name, Address, E-mail address, Course Name, Faculty Instructor. Or, mail to:
ASIS Excellence Award College of Information Science and Technology 3141 Chestnut Street Philadelphia, PA 19104-2875DEADLINE FOR NOMINATIONS IS April 30, 1998.
A panel of Drexel faculty and ASIS DVC members will evaluate the works and decide on the recipient of the award. Selection factors will include: originality of idea(SE), significance of topic, strength of data/supporting evidence, completeness of discussion, quality of writing, adequacy of citations.
The recipient of the award will receive a certificate and a monetary gift of $100 (total) from the Drexel Student and Delaware Valley chapters. Towards the goal of publication and/or distribution, the awarded work will be edited by the student, in cooperation with members of the faculty of Drexel CIST and/or members of ASIS/DVC, as appropriate to the subject matter of the work. In addition, the recipients will also be advised and guided in the process of seeking publication or distribution of their works.
Abstract: Pharmaceutical companies spend billions of dollars annually on drug discovery research. In the process, they generate vast amounts of scientific data. Currently, these companies employ computational chemists who use the data generated for predictive modeling to guide research programs. These experiments, however, are done using legacy databases or stand-alone databases that are custom-built for each modeling application. The former are poorly integrated, volatile, and are not optimized for query-processing. The latter results in multiple analytical databases to maintain, and does not integrate all drug discovery data that could be used for multidimensional analysis.The first annual Award winner, M. Elizabeth Graham, was announced in June 1996. Her winning entry was: Review of the Literature: Information BrokersWe propose a framework for the application of data warehousing to integrate a pharmaceutical company's drug discovery data. The dimensional data model used in data warehousing facilitates rapid query processing by multiple criteria in an integrated, non-volatile environment. We provide an analysis of the principal activities involved in drug discovery in the pharmaceutical industry. and a set of questions from which potential queries to a drug discovery data warehouse can be derived. This information is then used to identify fact and dimension tables, and a dimensional data model for a drug discovery data warehouse is proposed.
Abstract: The first information brokering company was begun in France, in 1935. Its business was conducted entirely over the telephone. Brokering as we know it now took its shape in the 1970s, under the impetus provided principally by computerized online databases. Today, htere are between 800-1000 practicing, full-time brokers in the United States. In the past, brokers had been veiwed with some suspicion by more traditional librarians, toward whom brokers had been occasionally high-handed, and with whom they differed dramatically regardind fees-for-services. These misunderstandings now appear to be a thing of the past.