Could Big Data be the end of theory in science?
EMBO ReportsPublished 10 September 2015Open access
Fulvio Mazzocchi
Citations189
SJR quartileQ1
SJR score2.76
SNIP1.24
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
A closer look reveals that Big Data actually enhances the testing of hypothesis and experimentation, rather than replaces them.
Abstract
The era of Big Data is claimed to herald the end of hypothesis‐driven research in favour of sophisticated algorithms uncovering information from huge data sets. But a closer look reveals that Big Data actually enhances the testing of hypothesis and experimentation, rather than replaces them. [Image: see text]
Keywords
Biochemistry, Genetics and Molecular Biology
NatureAn integrated encyclopedia of DNA elements in the human genome
19,385 Citations2012Sylvain Foissac
The Encyclopedia of DNA Elements project provides new insights into the organization and regulation of the authors' genes and genome, and is an expansive resource of functional annotations for biomedical research.
Nature GeneticsExploring the new world of the genome with DNA microarrays
2,418 Citations1999Patrick O. Brown, David Botstein
Big Data & SocietyWhat difference does quantity make? On the epistemology of Big Data in biology
284 Citations2014Sabina Leonelli
This article reviews the development of sophisticated ways to disseminate, integrate and re-use data acquired on model organisms over the last three decades of work in experimental biology and focuses on online databases as prominent infrastructures set up to organise and interpret such data.
