NLM / NIH are seeking to strike a balance between data access vs. data protection / privacy. We know there will be more innovation when the data is shared widely, but it needs to be balanced with keeping personal data secure.
Patti Brennan gave the example of the current waste water studies tracking community rates of Covid-19. Those samples contain personal DNA along with viral DNA of Covid/SARS-Cov-2. How do we separate and secure the personal DNA data from the viral DNA data and make that available and useable by other researchers?
Librarians in attendance asked NIH to provide templates or prototypes as examples of data management set plans. They said they would provide guidelines, but not templates, because every data management plan will be different according to the data produced.
Key Points:
- You don't have to be a statistician to [help a researcher] write a data plan.
- It's more thinking about how the data will be managed and shared.
- A DMSP is designed to be 2 pages or less. [Now--Doesn't that make it seem do-able?]
I am not a Data Librarian, and I'm still wrapping my head around how I can apply this in my health care setting, but wanted to set it down here for those who want to ...
Learn More:
Data Clearinghouse https://sharing.nih.gov
> The Data Clearninghouse is where you'll find the "meat and potatoes" of what will be required in January 2023, including more info on the following:
Data Management & Sharing Policy (DMSP)
- About
- Overview
- Research Covered Under DMSP
- Planning & Budgeting for DM&S
- Data Management
- FAIR Principles
- Length of Time to Maintain Data
- Metadata and Other Associated Documentation
- Naming Conventions
- Common Data Elements
- Data Storage Format
- Data Security
- Sharing Scientific Data
- Data Sharing Approaches
- Selecting a Data Repository
- Repositories for Sharing Scientific Data
