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J Invest Dermatol. 2017 Aug;137(8):e153-e158. doi: 10.1016/j.jid.2017.04.019.

Research Techniques Made Simple: An Introduction to Use and Analysis of Big Data in Dermatology.

Author information

1
Department of Dermatology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
2
Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
3
Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
4
Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA. Electronic address: harvardskinstudies@partners.org.

Abstract

Big data is a term used for any collection of datasets whose size and complexity exceeds the capabilities of traditional data processing applications. Big data repositories, including those for molecular, clinical, and epidemiology data, offer unprecedented research opportunities to help guide scientific advancement. Advantages of big data can include ease and low cost of collection, ability to approach prospectively and retrospectively, utility for hypothesis generation in addition to hypothesis testing, and the promise of precision medicine. Limitations include cost and difficulty of storing and processing data; need for advanced techniques for formatting and analysis; and concerns about accuracy, reliability, and security. We discuss sources of big data and tools for its analysis to help inform the treatment and management of dermatologic diseases.

PMID:
28735616
PMCID:
PMC5600502
DOI:
10.1016/j.jid.2017.04.019
[Indexed for MEDLINE]
Free PMC Article

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