Abstract
The “big data” paradigm has gained a lot of attention recently, in particular in those areas of biomedicine where we face clear unmet medical needs. Coined as a new paradigm for complex problem solving, big data approaches seem to open promising perspectives in particular for a better understanding of complex diseases such as Alzheimer’s disease and other dementias. In this commentary, we will provide a brief overview on big data principles and the potential they may bring to dementia research, and - most importantly - we will do a reality check in order to provide an answer to the question of whether dementia research is ready for big data approaches.
Highlights
According to Wikipedia, “Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate
Linking heterogeneous data is a key step in big data analytics, and shared semantics for metadata annotation play an important role in data integration
Future trends and emerging technologies A spectrum of currently emerging technologies will add to the V(olume) of data relevant for dementia research: next-generation sequencing (NGS) and in particular RNAseq technologies will generate high-quality gene expression data; epigenetics studies in the dementia context will add an entire level of new information
Summary
According to Wikipedia, “Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Linking heterogeneous data is a key step in big data analytics, and shared semantics for metadata annotation play an important role in data integration.
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