Abstract
Clinical and translational research often involves the generation, collection, storage, management, analysis, and dissemination of heterogeneous and multi-dimensional data, information, and knowledge resources. Addressing such fundamental informatics needs and requirements is a challenging problem that usually requires the collaboration of multi-disciplinary teams. Central to the ability to form and operate such teams is the development of a workforce with sufficient expertise at the basic and applied science levels as relevant to the clinical and translational science domain. Over the last decade, significant advances have been made in education and training programs targeting such workforce development. While still early in their maturity, such efforts have already begun to impact the advancement of biomedical science and human health, and serve to illustrate the critical nature of computational and informatics theories and methodologies across the broader translational research spectrum.
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References
Zerhouni E. Medicine. The NIH roadmap. Science. 2003;302(5642):63–72. doi:10.1126/science.1091867.
Zerhouni EA. Clinical research at a crossroads: the NIH roadmap. J Investig Med. 2006;54(4):171–3.
Zerhouni EA. Translational and clinical science–time for a new vision. N Engl J Med. 2005;353(15):1621–3. doi:10.1056/NEJMsb053723.
Butte AJ. Medicine. The ultimate model organism. Science. 2008;320(5874):325–7. doi:10.1126/science.1158343.
Embi PJ, Payne PR. Clinical research informatics: challenges, opportunities and definition for an emerging domain. J Am Med Inform Assoc. 2009;16(3):316–27. doi:10.1197/jamia.M3005.
Chung TK, Kukafka R, Johnson SB. Reengineering clinical research with informatics. J Investig Med. 2006;54(6):327–33.
Payne PR, Johnson SB, Starren JB, Tilson HH, Dowdy D. Breaking the translational barriers: the value of integrating biomedical informatics and translational research. J Investig Med. 2005;53(4):192–200.
Sung NS, Crowley Jr WF, Genel M, Salber P, Sandy L, Sherwood LM, Johnson SB, Catanese V, Tilson H, Getz K, Larson EL, Scheinberg D, Reece EA, Slavkin H, Dobs A, Grebb J, Martinez RA, Korn A, Rimoin D. Central challenges facing the national clinical research enterprise. JAMA. 2003;289(10):1278–87.
Levy D, Dondero R, Veronneau P. Research rewired. Merging care and research information to improve knowledge discovery. Waterhouse: Price; 2008.
Casey K, Elwell K, Friedman J, Gibbons D, Goggin M, Leshan T, Stoddard R, Tate D, Vick P, Vincent J. A broken pipeline: flat funding of the NIH puts a generation of science at risk. Bethesda: National Institutes of Health; 2008.
Butte AJ. Translational bioinformatics: coming of age. J Am Med Inform Assoc. 2008;15(6):709–14. doi:10.1197/jamia.M2824.
Butte AJ. Translational bioinformatics applications in genome medicine. Genome Med. 2009;1(6):64. doi:10.1186/gm64.
Maojo V, Garcia-Remesal M, Billhardt H, Alonso-Calvo R, Perez-Rey D, Martin-Sanchez F. Designing new methodologies for integrating biomedical information in clinical trials. Methods Inf Med. 2006;45(2):180–5. doi:10.1267/meth06020180.
Ash JS, Anderson NR, Tarczy-Hornoch P. People and organizational issues in research systems implementation. J Am Med Inform Assoc. 2008;15(3):283–9. doi:10.1197/jamia.M2582.
Payne PR, Mendonca EA, Johnson SB, Starren JB. Conceptual knowledge acquisition in biomedicine: a methodological review. J Biomed Inform. 2007;40(5):582–602. doi:10.1016/j.jbi.2007.03.005.
Richesson RL, Krischer J. Data standards in clinical research: gaps, overlaps, challenges and future directions. J Am Med Inform Assoc. 2007;14(6):687–96. doi:10.1197/jamia.M2470.
Ruttenberg A, Clark T, Bug W, Samwald M, Bodenreider O, Chen H, Doherty D, Forsberg K, Gao Y, Kashyap V, Kinoshita J, Luciano J, Marshall MS, Ogbuji C, Rees J, Stephens S, Wong GT, Wu E, Zaccagnini D, Hongsermeier T, Neumann E, Herman I, Cheung KH. Advancing translational research with the semantic web. BMC Bioinformatics. 2007;Suppl 3:S2. doi:10.1186/1471-2105-8-s3-s2.
van Bemmel JH, van Mulligen EM, Mons B, van Wijk M, Kors JA, van der Lei J. Databases for knowledge discovery. Examples from biomedicine and health care. Int J Med Inform. 2006;75(3–4):257–67. doi:10.1016/j.ijmedinf.2005.08.012.
Oster S, Langella S, Hastings S, Ervin D, Madduri R, Phillips J, Kurc T, Siebenlist F, Covitz P, Shanbhag K, Foster I, Saltz J. caGrid 1.0: an enterprise grid infrastructure for biomedical research. J Am Med Inform Assoc. 2008;15(2):138–49. doi:10.1197/jamia.M2522.
Hersh W, Williamson J. Educating 10,000 informaticians by 2010: the AMIA 10 × 10 program. Int J Med Inform. 2007;76:377–82.
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Embi, P.J., Payne, P.R.O. (2014). Clinical and Translational Research Informatics Education and Training. In: Berner, E. (eds) Informatics Education in Healthcare. Health Informatics. Springer, London. https://doi.org/10.1007/978-1-4471-4078-8_12
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DOI: https://doi.org/10.1007/978-1-4471-4078-8_12
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