Version 1.2

R|S Atlas dataset

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Shields, Alexandra

Description

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.<br><br>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/.<br><br>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.).<br><br>Data available in R/S Atlas include:<ul> <li>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</li> <li>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)</li> <li>Citations of publications using these R|S questions (through May 2019)</li> <li>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)</li></ul>

Citations (2)

Mentions (0)

Metrics

Dataset Index

1.0

FAIR Score

15%

Citations

2

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Harvard Dataverse

Assigned Domain

Subfield

Artificial Intelligence

Field

Computer Science

Domain

Physical Sciences

Confidence Score

46%

Source

Scholar Data Model

Keywords

Medicine, Health and Life SciencesSocial SciencesReligionSpirituality

Normalization Factors

FT

15.38

CTw

1.00

MTw

1.00