Principles And Obstacles For Sharing Data From Environmental Health Research

Principles and Obstacles for Sharing Data from Environmental Health Research

On March 19, 2014, the National Academies of Sciences, Engineering, and Medicine held a workshop on the topic of the sharing of data from environmental health research. Experts in the field of environmental health agree that there are benefits to sharing research data, but questions remain regarding how to effectively make these data available. The sharing of data derived from human subjects-making them both transparent and accessible to others-raises a host of ethical, scientific, and process questions that are not always present in other areas of science, such as physics, geology, or chemistry. The workshop participants explored key concerns, principles, and obstacles to the responsible sharing of data used in support of environmental health research and policy making while focusing on protecting the privacy of human subjects and addressing the concerns of the research community. Principles and Obstacles for Sharing Data from Environmental Health Research summarizes the presentations and discussions from the workshop.

Unraveling the Exposome

This volume presents a comprehensive overview of the science and application of the Exposome through seventeen chapters from leaders in the field. At just over ten years since the term was coined by Christopher Wild in 2005, this is the first, field-defining volume to offer a holistic picture of the important and growing field of Exposomics. The term “Exposome” describes the sum of all exposures (not only chemical) that an individual can receive over a lifetime from both exogenous sources (environmental contaminants, food, lifestyle, drugs, air, etc.) and endogenous sources (metabolism, oxidative stress, lipid peroxidation, chemicals synthesized by the microbiome, etc.). The first section of this book contains chapters that discuss how the Exposome is defined and how the concept fits into the fields of public health and epidemiology. The second section provides an overview of techniques and methods to measure the human Exposome. The third section contains methods and applications for measuring the Exposome through external exposures. Section four provides an overview on statistical and computational techniques- including big data analysis - for characterizing the Exposome. Section five presents a global collection of case studies

Democratizing data: Environmental data access and its future