The challenges of big data
Year: 2016
Type: editorial
Abstract: The largely untapped potential of big data analytics is a feeding frenzy that has been fueled by the production of many next-generation-sequencing-based data sets that are seeking to answer long-held questions about the biology of human diseases. Although these approaches are likely to be a powerful means of revealing new biological insights, there are a number of substantial challenges that currently hamper efforts to harness the power of big data. This Editorial outlines several such challenges as a means of illustrating that the path to big data revelations is paved with perils that the scientific community must overcome to pursue this important quest.
Source: Disease Models & Mechanisms
DOI: 10.1242/dmm.025585
Author: Elaine R. Mardis
Institution: Washington University in St. Louis
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $3,750
OpenAlex ID: W2345889990