• DocumentCode
    1613212
  • Title

    Data warehouse design for pharmaceutical drug discovery research

  • Author

    Axel, Melinda G. ; Song, II-Yeol

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Drexel Univ., Philadelphia, PA, USA
  • fYear
    1997
  • Firstpage
    644
  • Lastpage
    650
  • Abstract
    Pharmaceutical companies spend billions of dollars annually on drug discovery research. In the process, they generate vast amounts of scientific data. Data warehousing could significantly shorten the research cycle that leads to a new drug. We propose a framework for the application of data warehousing to integrate a pharmaceutical company´s drug discovery data. 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 can be derived. This information is used to identify fact and dimension tables, and a dimensional data model for a drug discovery data warehouse is proposed
  • Keywords
    chemistry computing; data structures; decision support systems; knowledge acquisition; pharmaceutical industry; query processing; very large databases; data warehouse design; decision-support system; dimension tables; dimensional data model; fact tables; pharmaceutical drug discovery research; principal activities; read-only analytical database; scientific data; Chemical compounds; Data analysis; Data models; Data warehouses; Diseases; Drugs; Pharmaceuticals; Testing; Transaction databases; Warehousing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 1997. Proceedings., Eighth International Workshop on
  • Conference_Location
    Toulouse
  • Print_ISBN
    0-8186-8147-0
  • Type

    conf

  • DOI
    10.1109/DEXA.1997.617399
  • Filename
    617399