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Invited commentary: consolidating data harmonization--how to obtain quality and applicability?

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TLDR
In the current issue of the American Journal of Epidemiology, Hamilton et al. present the consensus measures for Phenotypes and eXposures (PhenX) Toolkit, which promotes the use of identical data collection tools and procedures to support harmonization across emerging studies.
Abstract
It is recognized that very large sample sizes capable of providing adequate statistical power are required to properly investigate and understand the role and interaction of genetic, lifestyle, and environmental factors in modulating the risk and progression of chronic diseases. However, very few one-off studies provide access to very large numbers of participants, and the collection of high-quality data necessitates a major investment of resources. The scientific community is thus increasingly engaged in collaborative efforts to facilitate harmonization and synthesis of data across studies. Complementary harmonization approaches may be adopted to support these efforts. In the current issue of the American Journal of Epidemiology, Hamilton et al. (Am J Epidemiol. 2011;174(3):253-260) present the consensus measures for Phenotypes and eXposures (PhenX) Toolkit, which promotes the use of identical data collection tools and procedures to support harmonization across emerging studies. Data synthesis is greatly facilitated by the use of common measures and procedures. However, the "stringent" criteria required by PhenX can limit its utilization. The opportunity to make use of rigorous but more "flexible" harmonization approaches should also be considered.

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Journal ArticleDOI

Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning.

TL;DR: A layered, hierarchical model for translating raw sensor data into markers of behaviors and states related to mental health is provided, focused principally on smartphones, but also including studies of wearables, social media, and computers.
Journal ArticleDOI

Biobanks in the era of personalized medicine: objectives, challenges, and innovation

Judita Kinkorova
- 01 Jan 2015 - 
TL;DR: Biobanks are an important compound of personalized medicine and strongly support the scientific progress in stratification of population and biomarker discovery and validation due to progress in personalized medicine.
References
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Book ChapterDOI

International Standard Classification of Education, ISCED 1997

Scientific
TL;DR: The International Standard Classification of Education (ISCED) was designed by UNESCO in the early 1970s to serve as an instrument suitable for assembling, compiling and presenting statistics of education both within individual countries and internationally as discussed by the authors.
Journal ArticleDOI

Gene–environment interactions in human diseases

TL;DR: Suggestions are made for improvements in the study of study design, sample size and genotyping technology, which influence the analysis and interpretation of observed gene–environment interactions.
Journal ArticleDOI

The EPIC Project: rationale and study design. European Prospective Investigation into Cancer and Nutrition.

TL;DR: EPIC is a multi-centre prospective cohort study designed to investigate the relation between diet, nutritional and metabolic characteristics, various lifestyle factors and the risk of cancer in middle-aged men and women.
Journal Article

The EPIC Project: Rationale and study design

TL;DR: EPIC is a multi-centre prospective cohort study designed to investigate the relation between diet, nutritional and metabolic characteristics, various lifestyle factors and the risk of cancer.
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