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University of Washington Health Sciences Library

Data Resources in the Health Sciences

An inventory of resources to support research data needs in the health sciences field. This guide is constantly being updated; please send feedback via the Comments links.

UW Data Policies

University of Washington policies relating to research data

Federal Agency Data Sharing Requirements

Data Sharing Requirements by Federal Agency - produced by SPARC and Johns Hopkins University Libraries.

Explains current and proposed data sharing requirements for agencies such as the CDC, FDA, NIH, NSF, and AHRQ.

NIH Data Sharing Requirements

In most circumstances, the NIH policy requiring a Data Sharing Plan for laboratory research data and clinical research data applies to grant applicants seeking $500,000 or more in direct costs in any single year of the contract period.

Two exceptions to the $500,000 threshhold are:


The following resources provide guidance and templates for the NIH Data Sharing Requirements:

NIH Data Sharing Policy and Implementation Guidance

Data Sharing Policies From All Levels of NIH

NIH Data Sharing Repositories

NIH Data Sharing Workbook - includes sections on (1) Protecting the Rights and Privacy of Human Subjects; and (2) Protecting Proprietary Data

Key Elements to Consider in Preparing a Data Sharing Plan Under NIH Extramural Support

NIH Example Plan (MS Word) - template you can modify to fit the data you plan to share.

Open Data

Open Data Commons: legal tools to help you provide and use Open Data.  Instructions on using an Open Database License, an Attribution License, and a Public Domain Dedication and License.

Intellectual Property Considerations

At UW, the Center for Commercialization (C4C) can advise researchers on intellectual property (IP) protection best practices and law. 

The UW Copyright Connection also provides resources on copyright law, policies, and guidelines at UW.

Confidentiality and Privacy of Human Subjects Data

Why Share Your Data?

"Why Share Your Data" - UW Libraries' Data Management Guide

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