Work Description

Title: MiGHT Calibration Survey Dataset Open Access Deposited

h
Attribute Value
Methodology
  • Qualtrics cross-sectional survey emailed and stored.
Description
  • Survey respondents were cancer-affected patients seen at an academic medical center, and self-reported experiences with genetic testing and counseling. This is raw dataset is saved in comma separated value (.csv) format.
Creator
Depositor
  • emmed@umich.edu
Contact information
Discipline
Keyword
Citations to related material
Resource type
Last modified
  • 02/08/2023
Published
  • 02/08/2023
Language
DOI
  • https://doi.org/10.7302/59xr-c178
License
To Cite this Work:
Bacon, E., Hanson, E. N., Austin, S., Delacroix, E., Uhlmann, W., Roberts, S., Resnicow, K. (2023). MiGHT Calibration Survey Dataset [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/59xr-c178

Relationships

This work is not a member of any user collections.

Files (Count: 4; Size: 915 KB)

Date: 23 May, 2022

Dataset Title: MiGHT-Study_Calibration-Survey

Dataset Creators: Delacroix,E.; Hanson,EN

Dataset Contact: MiGHT Study Team: mightstudy@med.umich.edu

Funding: none

Key Points:
Survey responses of cancer-affected patients at a research medical hospital regarding views on barriers and motivators to genetic counseling and testing uptake.

Research Overview:
Survey respondents were cancer affected patients seen at an academic medical center, and answered questions about genetic testing and counseling.

Methodology:
The data is from a Qualtrics cross-sectional survey that was emailed to survey respondents. A blank cell indicates the response was not provided by the subject.

Instrument and/or Software specifications:
The data file is in csv format and so should be usable by many different software packages.

Files contained here:
Raw data files: MiGHT_Calibration_Survey_Data_Direct_20210416_DeepBlue.csv
Codebook: Codebook_20210713.xlsm
Consent Form: Informed_Consent_Document-IRB_Calibration_Survey.docx
Readme: MiGHT-Study_Calibration-Survey_ReadMe.txt

Related publication(s):
None published

Use and Access:
This data set is made available under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).

To Cite Data:
Bacon, E., Hanson, E. N., Austin, S., Delacroix, E., Uhlmann, W., Roberts, S., Resnicow, K. (2023) MiGHT Calibration Survey Dataset [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/59xr-c178

Download All Files (To download individual files, select them in the “Files” panel above)

Best for data sets < 3 GB. Downloads all files plus metadata into a zip file.



Best for data sets > 3 GB. Globus is the platform Deep Blue Data uses to make large data sets available.   More about Globus

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.