R|S Atlas dataset

R|S Atlas provides a comprehensive map of all religion or spirituality (R/S) survey questions available within 20 highly-regarded prospective cohort studies in the U.S. R|S Atlas is an open-source, online data resource developed and hosted by the Harvard/MGH Center on Genomics, Vulnerable Populations, and Health Disparities (Alexandra E. Shields, Director) under the auspices of the National Consortium on Psychosocial Stress, Spirituality, and Health, made possible through a grant from the John Templeton Foundation. This repository contains the excel database that makes up the R|S Atlas dataset. These data can be searched and downloaded via a suite of query tools and search functionality on our companion website: https://atlas.mgh.harvard.edu/. R|S Atlas is a tool to maximize the utility of extant R/S measures to facilitate high-quality, prospective analyses using currently available R/S measures in prospective cohort studies in the U.S. While the number of R/S measures available in our participating cohorts can be fairly limited at times, many existing R/S measures are immediately available for prospective analyses aimed at advancing understanding of the complex relationships of R/S beliefs, practices, experiences, and other important health outcomes. Given that many such study designs will require pooling data across several cohorts, R|S Atlas provides a valuable resource to researchers seeking to identify cohorts with similar data on R/S, as well as cohorts who meet additional study criteria (e.g., racial/ethnic composition, availability of blood or DNA samples, age or sex of cohort participants, etc.). Data available in R/S Atlas include: All R/S survey questions asked in our 20 participating national cohort studies (including ancillary studies of these cohorts) from the inception of each cohort (through November 2014 or May 2019 Detailed documentation of each R|S question (e.g., its source, number of times asked, number of participants asked, whether it includes only one question or all questions from an established scale) Citations of publications using these R|S questions (through May 2019) Additional select data on each cohort, including a description of the cohort, the number of participants, select characteristics of participants (e.g., age, sex, race/ethnicity), the availability of blood and DNA, whether the cohort has been geocoded, and additional information useful for identifying potential collaborators (as of May 2019)