NIH Data Management and Sharing Policy
National Institutes of Health (NIH)
UIUC Research Data Management Self-Guided Workshop
The Research Data Management (RDS) developed this Self-Guided Data Management Workshop to provide you with much of the information the Research Data Service covers in live workshops and webinars, but in an online format you can access anytime.
The interactive Prezi allows you to move through each of the topics in order, or to chart your own path by clicking on any topic that interests you. At any point, hover over the right margin to reveal the home button that will take you back to the main lifecycle page shown below.
If you would prefer to host a live workshop, please contact us to request one.
Managing your Research Data
- A Beginner's Guide to Data ManagementCovers the basics and best practices for data management for those new to the research and data-collecting process.
- Coursera - Introduction to Data Management PlansThis course will provide learners with an introduction to research data management and sharing.
- Data Management Self Guided WorkshopThis Self-Guided Data Management Workshop contains much of the information the Research Data Service covers in live workshops and webinars, but in an online format you can access anytime.
- DMPToolThis online wizard creates a data management plan to meet the requirements of specific funding agencies (including, but not limited to, the National Science Foundation). Prompts for the home institution and funding agency, and suggests text for each section of the plan.
- FAIR Principles for data management and stewardshipIn 2016, the ‘FAIR Guiding Principles for scientific data management and stewardship’ were published in Scientific Data. The authors intended to provide guidelines to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets.
- Glossary of data management termsFrom Cornell University - This glossary is not meant to be comprehensive; rather, we offer definitions for selected terms we've used elsewhere on this website.
- Life-Cycle Decisions for Biomedical DataLife Cycle Decisions for Biomedical Data examines and assesses approaches and considerations for forecasting costs for preserving, archiving, and promoting access to biomedical research data.
- Research Data Management@ HarvardA reference guide with information and resources to help you manage your research data
Basic Elements of a Data Management Plan
A data management plan (DMP) is a living document that requires updates to reflect changes or adjustments to data collection, storage and processing.
Types of data that will be collected
- What types of data will be derived or generated?
- How much? - numbers & file sizes
- Rationale for sharing and preservation
- Metadata and other documentation (protocols, instrumentation)
- Privacy and Security (human studies data)
Tools, Software, Code
- Specialized tools or software needed for data manipulation
Standards
- Metadata (Dublin Core, Darwin Core, etc.)
- Formats
- Identifiers
- Other
Data Preservation & Access
- What data will be preserved, where and for how long?
- How will data be findable?
- Restricted or Open Access
Data Sharing Agreements and Licenses
- Restrictions
- Liability
Oversight
- Roles & Responsbilities
About Data Management and Sharing Plans
- Budgeting for Data Management & SharingFind out what data sharing related costs may be requested in an application for funding.
- Data ManagementLearn about best practices for scientific data management.
- DMP Best PracticesThese are best practices to consider while working on your DMP.
- NIH Data Sharing PolicyNEWS: New NIH Policy on Data Management and Sharing (effective January 25, 2023)
NIH has issued a new Final NIH Policy for Data Management and Sharing, which will require NIH funded researchers to prospectively submit a plan outlining how scientific data from their research will be managed and shared. On January 25, 2023, the new policy will come into effect and replace the 2003 NIH Data Sharing Policy currently in effect. - Scientific Data SharingNIH Policies and more
- Supplemental Information to the NIH Policy for Data Management and SharingElements of an NIH Data Management and Sharing Plan
Plan Templates and Examples
- NIH Data Management & Sharing Plan Draft Template
- Grainger NSF-ENG DMP Template
- Generic Plan Template
- Example Plan (Human Subject Research)
- Example Plan (High Risk Human Subject Research)
NOTE: Your Plan must reflect the details in your proposal, so examples are provided only in order to help investigators see what a strong Plan looks like. Do not copy the text verbatim.
University of Illinois Policies & Resources
- Data Safety Ponitoring PlansWhen appropriate the research plan makes adequate provision for monitoring the data collected to ensure the safety of subjects. (45 CFR 46)
- Cloud-Based Storage of Protected Health InformationBox is now available for storing Protected Health Information. Individuals who would like to use Box to store PHI, may only do so in a provided Box Health Data Folder. A request for a Box Health Data Folder can be submitted here. Researchers are responsible for following set policies and guidance listed at the previous webpage.
- Data Security and Full Disk EncryptionFull disk encryption (FDE) helps prevent unauthorized access to data stored on a device if that device is lost or stolen. As of January 1, 2013 all University owned laptops must be encrypted with FDE, per the laptop standard.