Big Data: The challenge for small research groups in the era of cancer genomics

Aisyah Mohd Noor, Lars Holmberg, Cheryl Gillett, Anita Grigoriadis*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

39 Citations (Scopus)


In the past decade, cancer research has seen an increasing trend towards high-throughput techniques and translational approaches. The increasing availability of assays that utilise smaller quantities of source material and produce higher volumes of data output have resulted in the necessity for data storage solutions beyond those previously used. Multifactorial data, both large in sample size and heterogeneous in context, needs to be integrated in a standardised, cost-effective and secure manner. This requires technical solutions and administrative support not normally financially accounted for in small- to moderate-sized research groups. In this review, we highlight the Big Data challenges faced by translational research groups in the precision medicine era; an era in which the genomes of over 75 000 patients will be sequenced by the National Health Service over the next 3 years to advance healthcare. In particular, we have looked at three main themes of data management in relation to cancer research, namely (1) cancer ontology management, (2) IT infrastructures that have been developed to support data management and (3) the unique ethical challenges introduced by utilising Big Data in research.

Original languageEnglish
Pages (from-to)1405-1412
Number of pages8
JournalBritish Journal of Cancer
Issue number10
Publication statusPublished - 17 Nov 2015


  • biobanking
  • cancer research
  • data ethics
  • database management systems
  • genomics
  • ontology management


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