How Will Big Data Improve Clinical and Basic Research in Radiation Therapy?

Int J Radiat Oncol Biol Phys. 2016 Jul 1;95(3):895-904. doi: 10.1016/j.ijrobp.2015.11.009. Epub 2015 Nov 11.

Abstract

Historically, basic scientists and clinical researchers have transduced reality into data so that they might explain or predict the world. Because data are fundamental to their craft, these investigators have been on the front lines of the Big Data deluge in recent years. Radiotherapy data are complex and longitudinal data sets are frequently collected to track both tumor and normal tissue response to therapy. As basic, translational and clinical investigators explore with increasingly greater depth the complexity of underlying disease processes and treatment outcomes, larger sample populations are required for research studies and greater quantities of data are being generated. In addition, well-curated research and trial data are being pooled in public data repositories to support large-scale analyses. Thus, the tremendous quantity of information produced in both basic and clinical research in radiation therapy can now be considered as having entered the realm of Big Data.

Publication types

  • Editorial
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Biomedical Research*
  • Data Collection / methods
  • Data Collection / standards
  • Data Mining* / methods
  • Data Mining* / standards
  • Databases, Factual
  • Humans
  • Neoplasms / radiotherapy*
  • Precision Medicine
  • Radiation Oncology*
  • Radiotherapy / adverse effects