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Learn about the new NIH data sharing policy, places where you might want to share your particular kind of data, and how to deal with possible challenges associated with the policy.

Home Page: https://hutchdatascience.org/NIH_Data_Sharing/

License: Creative Commons Attribution 4.0 International

HTML 5.16% JavaScript 5.41% CSS 61.09% TeX 19.34% R 9.00%
data-management data-sharing grant-proposals nih hutch-course

nih_data_sharing's Introduction

Fred Hutch Data Sharing Guide for NIH Grants

Render Bookdown and Coursera

You can see the rendered course material here.

If you would like to contribute to this course material, please submit an issue.

About this course

This course introduces templates and helpful information for filling out Data Sharing Plans in NIH grants, per the new official policy.

This course is intended for PIs, Program Administrators, and other researchers who are planning to submit grant proposals to the NIH after January 25, 2023.

Learning Objectives

This template course will help you:

  • Understand the motivations behind the new NIH data sharing guidelines.
  • Learn how the data sharing guidelines affect your research, and whether you need to create a data sharing plan.
  • Become familiar with the variety of data management and storage options for your data.
  • Create a budget that covers the cost of data sharing and data storage.
  • Write a data management and storage plan for your NIH grant.
  • Successfully submit and implement your data management and storage plan.

Encountering problems?

You can provide feedback for the course using this Google Form.

This course is a work in progress. If you are encountering any problems with this course, please file a GitHub issue to let us know.

Creative Commons License
All materials in this course are licensed under a Creative Commons Attribution 4.0 International License unless noted otherwise.

Disclaimer

These materials have been developed at Fred Hutch for the purpose of assisting our faculty scientists with the new NIH data sharing policy requirements. While we are confident in the content of these materials, we make no guarantee that they will fully comply with NIH's policy. This is a new policy, and only time will tell. We will revise these materials on an on-going basis, as appropriate.

nih_data_sharing's People

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nih_data_sharing's Issues

should we add this disclaimer about if it applies to you

This is from the list of activities that require a plan:

A comprehensive listing of all activity codes that generally require applicants to submit a Data Management and Sharing Plan. Read funding opportunities carefully – requirements may differ from general activity code applicability for a small number of opportunities

Maybe we should add the bold part

authors

we will want to update this section too

New Course - Templates to Edit

Follow the Wiki instructions here for details on how to complete the items in this issue.

The following files need to be edited to get this new course started!

Files that need edited upon creating a new course.

  • README.md - Fill in all the { }.
  • index.Rmd - title: should be updated.
  • 01-intro.Rmd - replace the information there with information pertinent to this new course.
  • 02-chapter_of_course.Rmd - This Rmd has examples of how to set things up, if you don't need it as a reference, it can be deleted.

Files that need to be edited upon adding each new chapter (including upon creating a new course):

  • _bookdown.yml - The list of Rmd files that need to be rendered needs to be updated. See instructions.
  • book.bib - any citations need to be added. See instructions.

Picking a style

See more about customizing style on this page in the guide.
By default this course template will use the jhudsl data science lab style. However, you can customize and switch this to another style set.

Using a style set

Read more about the style sets here.

  • On a new branch, copy the style-sets/<set-name>/index.Rmd and style-sets/<set-name>/_output.yml to the top of the repository to overwrite the default index.Rmd and _output.yml.
  • Copy over all the files in the style-sets/<set-name>/copy-to-assets to the assets folder in the top of the repository.
  • Create a pull request with these changes, and double check the rendered preview to make sure that the style is what you are looking for.

Files that need to be edited upon adding new packages that the book's code uses:

  • docker/Dockerfile needs to have the new package added so it will be installed. See instructions.
  • The code chunk in index.Rmd should be edited to add the new package.

Ethics section

We are interested in at least pointing out concerns that people should think about.

  • many clinical considerations for sharing data

    • people need to be careful with de-identification and should ideally work with an expert
  • in terms of raw vs cleaned data -what level of effort/funding/resources should be used to make data easy for someone to use the data from scratch, since slightly processed data while less convenient takes up less space/uses less resources

  • what quality threshold is really needed to share data?

    • what are the consequences of sharing poor-quality data?
    • what are the consequences of not sharing data that is of reasonable quality that someone decided was poor quality?

Hutch oriented Data Types

The Data Types that might be good to organize some portion of this course by or present suggestions for that are most interesting to the Hutch like include:

  1. Genomics data: gene expression - GEO, Gtex, variant data (with - clinvar - or without - dbSNP - clinical connections, structural variations - dbVar, sequence data in general)
  2. Imaging data (likely not of human body parts during clinical care, but of things through microscopes or animal imaging). (??http://www.cellimagelibrary.org/pages/about ??)
  3. Flow cytometry data ??
  4. Proteomic data (PDC?)
  5. clinical trials data (clintrial.gov)
  6. medical imaging data?

Others for sure but these seem to be a start that include a couple of particularly easy and some hard examples.

Reminder - Add user feedback method

To help users report issues or areas of improvement for your course, you should provide a clear method of feedback for your users to route their concerns through.

See these instructions for suggestions on how to add a feedback method for this course.

No cost extensions during transition

OK so I know now that renewals need to comply but what about no cost extensions during the transition. I don't think a grant that was funded before Jan 25 2023 needs to comply if the extension is after this date but idk for sure

share some of the NIH knowledge

Jeff wanted us to add info about how NIH doesn't have specific expectations and knows that they will learn from this process

add JHU resource links?

DMPTool A web-accessible, form-based tool for drafting Data Management Plans that contains guidelines for most funders. JHU Data Services offers additional guidance available through this link.
SPARC A resource for tracking, comparing, and understanding current U.S. federal funder research data sharing policies.
Sherpa Juliet A searchable database and single focal point of up-to-date information concerning funders’ policies and their requirements on open access, publication and data archiving.
Council on Government Relations, NIH Data Management and Sharing Policy Matrix Provides additional instruction related to the NIH requirements

New Course - Template Update Enrollment

The original template: https://github.com/jhudsl/OTTR_Template is always a work in progress.
We are working on adding more features and smoothing out bugs as we go.

If you want to receive updates from the original template to your course template, you will need to enroll this repository to the template updates by adding it to the sync.yml file.

Path images

We will want to add the path images to each section when we are done.

A reference that can be added

Came across this today

Sansone S-A, McQuilton P, Rocca-Serra P, Gonzalez-Beltran A, Izzo M, Lister AL, Thurston M (2019) FAIRsharing as a community approach to standards, repositories and policies. Nat Biotechnol 37(4):358–367

New Course - Set Repository Settings

For more information on these settings see instructions in the getting started GitHub wiki pages.

Create links from the "key questions" overview in "Will this policy affect me?" chapter

At the beginning of the chapter, there is this snippet:

The following outline several key questions:

Is my research exempt from the policy?
Does my research generate scientific data? If yes, you will need to submit a DMS Plan.
When do I need to share my data?
Can I elect to not share data? The short answer is yes. However, you must still justify this choice in a submitted DMS Plan.

Might be helpful to make each question a link to the subsection that addresses the answer.

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