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https://github.com/fhdsl/ethical_data_handling_for_cancer_research

This course is designed to help researchers and investigators understand the key principles of data management from an ethics, privacy, security, usability and discoverability perspective.
https://github.com/fhdsl/ethical_data_handling_for_cancer_research

data ethics privacy research security

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This course is designed to help researchers and investigators understand the key principles of data management from an ethics, privacy, security, usability and discoverability perspective.

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# Ethical Data Handling for Cancer Research



[![Render Bookdown, Leanpub, and Coursera](https://github.com/fhdsl/Ethical_Data_Handling_for_Cancer_Research/actions/workflows/render-all.yml/badge.svg)](https://github.com/fhdsl/Ethical_Data_Handling_for_Cancer_Research/actions/workflows/render-all.yml)



This course was created from [this github template](https://github.com/jhudsl/DaSL_Course_Template_Bookdown).



You can see the rendered course material here:  https://hutchdatascience.org/Ethical_Data_Handling_for_Cancer_Research/



If you would like to contribute to this course material, click on the feedback button (bottom of the table of contents) inside the rendered material.



## About this course



This course introduces aspects about the ethical, privacy, security, usability, and discoverability implications of data management for cancer research.



This course is intended for researchers with limited to intermediate informatics expertise.



This course is part of a series of courses for the [Informatics Technology for Cancer Research (ITCR)](https://itcr.cancer.gov/) called the Informatics Technology for Cancer Research Education Resource. This material was created by the ITCR Training Network (ITN)  which is a collaborative effort of researchers around the United States to support cancer informatics and data science training through resources, technology, and events. This initiative is funded by the following grant:  [National Cancer Institute (NCI)](https://www.cancer.gov/)  UE5 CA254170. Our courses feature tools developed by ITCR Investigators and make it easier for principal investigators, scientists, and analysts to integrate cancer informatics into their workflows. Please see our website at [www.itcrtraining.org](www.itcrtraining.org) for more information. Except where otherwise indicated, the contents of this course are available for use under the Creative Commons Attribution 4.0 license. You are free to adapt and share the work, but you must give appropriate credit, provide a link to the license, and indicate if changes were made. Sample attribution: Ethical Data Handling for Cancer Research by Fred Hutchinson Data Science Lab (CC-BY 4.0). You can download the illustrations by clicking [here](https://docs.google.com/presentation/d/1SRokLaGAc2hiwJSN26FHE0ZEEhPr3KQdyMICic8kAcs/edit?usp=sharing).



## Learning Objectives



This course will teach learners to:  



- Recognize and work with data that requires extra privacy protection

- Implement best practices for data security

- Share data safely and securely in a variety of contexts 

- Apply ethical consideration in data management workflows



## Encountering problems?



If you are encountering any problems with this course, please file a GitHub issue or contact us using [this feedback form](https://docs.google.com/forms/d/e/1FAIpQLSeYwgP9ZKGRCCkLV2vnMZy9ZLSqXZTUKTFKDVYEy95aXzw2Bg/viewform).



_All materials in this course are licensed [CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/) and can be repurposed freely with attribution._