Middleware architecture approaches for collaborative cancer research

Tahsin Kurc, Ashish Sharma, Scott Oster, Tony Pan, Shannon Hastings, Stephen Langella, David Ervin, Justin Permar, Daniel Brat, T. J. Fitzgerald, James Purdy, Walter Bosch, Joel Saltz

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

As our ability to capture and generate large biomedical datasets improves, researchers increasingly need to synthesize information using a variety of data types, data systems, and analysis tools. The need for informatics support to facilitate coordinated and federated access to disparate data and analysis resources is more pronounced in collaborative basic, clinical, and translational research studies spanning multiple institutions. This chapter presents a high-level overview of several middleware architecture frameworks and technologies and discusses how these approaches can be employed to address the informatics requirements of large-scale and collaborative cancer research.

Original languageEnglish
Title of host publicationBiomedical Informatics for Cancer Research
PublisherSpringer US
Pages73-90
Number of pages18
ISBN (Print)9781441957122
DOIs
StatePublished - Dec 1 2010

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    Kurc, T., Sharma, A., Oster, S., Pan, T., Hastings, S., Langella, S., Ervin, D., Permar, J., Brat, D., Fitzgerald, T. J., Purdy, J., Bosch, W., & Saltz, J. (2010). Middleware architecture approaches for collaborative cancer research. In Biomedical Informatics for Cancer Research (pp. 73-90). Springer US. https://doi.org/10.1007/978-1-4419-5714-6_4