Abstract
Life Sciences data are complex. In the pharmaceutical industry, vast quantities of patient-level safety and efficacy data are collected, managed, analyzed, and reported in bringing new medicines to market. Clinical trial operations data, involving sites, investigators, milestones, and budgets are similarly complex, especially in larger companies and contract research organizations where many trials are managed simultaneously. Upstream of this, much biology and chemistry data are generated, screened, and modeled to characterize targets and identify new molecular entities. Downstream of research and development there are many large patient-level and provider-level databases analyzed by pharmaceutical companies, industry consortia and regulators to understand real world safety and efficacy of therapies, and by commercial organizations to optimize sales and marketing efforts. Similar large and complex insurance claims and medical records databases are analyzed by healthcare organizations to manage their business and provide efficient and effective healthcare.
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Acknowledgments
Michael O’Connell thanks all of the contributors to this book, most of whom I have collaborated with over the past 10 years. I also thank all of my colleagues at TIBCO, especially those in the Spotfire product family for the fantastic collaborations and contributions to Life Sciences graphics and data discovery. In addition to my coauthors, I particularly acknowledge Andrew Berridge, Robert Collins, Peter McKinnis, David Mosenkis, Christof Gaenzler, Gerard Conway, Mark Demesmaeker, Kerstin Pietzko, Don Sullivan, Matt McGowan, Colin Blackmore, and others in the TIBCO Spotfire community.
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© 2012 Springer Science+Business Media, New York
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O’Connell, M., Cook, I., Luo, D., Patel, J. (2012). Graphics for Exploratory Analysis and Data Discovery in the Life Sciences. In: Krause, A., O'Connell, M. (eds) A Picture is Worth a Thousand Tables. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-5329-1_2
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DOI: https://doi.org/10.1007/978-1-4614-5329-1_2
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