2022 Research Impact Challenge
Day 3: Share Data
Welcome to Day 3 of the 2022 Research Impact Challenge!
Your challenge today is to Share Data. There are many types of research outputs aside from peer reviewed literature. They include: user guides, technical reports, newsletters, figures, patient handouts, datasets, and more. To increase the impact of your research, it is important to consider the reach and reuse potential of all your research outputs! Today we will focus on one specific type of research output, data.
Select your challenge level today based on your familiarity with data sharing concepts including Research Data Management principles, NIH data sharing requirements, and repository selection. Click on your challenge level using the buttons below to be taken to your challenge. Once you finish, scroll to the bottom of the page to enter the raffle.
To qualify for the raffle*, choose at least one challenge - entry level, advanced, or expert.
Entry: Entry: Learn the Basics of Research Data Management Advanced: Get Familiar with the NIH data sharing policy & Take a look at DMPTool Expert: Identify a repository that best suits your data
* Five lucky participants will receive Lane Medical Library swag bags and promotion of their research by Lane Medical Library
Entry: Learn the Basics of Research Data Management
Research Data Management
New to research data management (RDM)? Your challenge today is to take a look at the the Data Management Checklist, linked below, to use as a tool to help you make sense of your own data management practices. How can you use this checklist to incorporate data management practices into your current workflow? Would you like to learn more? Check out the Lane Medical Library Data Management and Sharing guide, linked below, to learn more about RDM.
Bonus: Do you have a little more time? Consider attending today's "Introduction to Research Data Management" class to learn the basics and have the chance to ask questions. Can't make the scheduled time? Register for the class and you'll be sent a recording.
- Data Management ChecklistA downloadable version of the data management checklist that was developed at Lane Medical Library.
Introduction to Research Data Management
Your research data is important. In this session, we’ll discuss how to properly store, organize, and document your work to ensure that important data isn’t lost and that you are meeting expectations set by the parties that fund and publish your research. After this session, you’ll have the tools required to assess your current data management practices, information about how to advance your practices as necessary or desired, and an understanding of some of the data-related resources available to you through Stanford Medicine.
- Date:
- Wednesday, Sep 14, 2022
- Time:
- 1:00pm - 2:30pm
- Location:
- Zoom
- Categories:
- Data Science
Advanced: Get Familiar with the NIH data sharing policy & Take a look at DMPTool
NIH Data Management and Sharing Policy
Starting in 2023, the National Institutes of Health will implement a new data management and sharing policy that will apply to the majority of NIH-funded research.
The policy has two main elements:
- The inclusion of a data management plan- a short document that details how data will be managed and shared over the course of a project.
- An expectation that NIH-funded researchers will maximize the sharing of research data.
For today's challenge, read the following infographic and download a copy of our NIH Data Management 2-pager (linked below) to get familiar with the essential requirements of the new NIH policy. If you have additional time, scroll down to learn about DMPtool.
- NIH Data Management 2-pagerRead Lane Medical Library's quick summary of the NIH Data Management and Sharing Policy to learn about new requirements and tools available to you.
As noted above, the new NIH data sharing policy requires researchers to create data management plans (DMPs). Consider using DMPTool to create DMPs quickly and efficiently using prebuilt templates. DMPTool is designed to help researchers create high-quality DMPs that meet the requirements of their specific funding agency. Sign into DMPTool using your SUNet ID. For today's challenge, sign in to DMPTool and click "create plan" to explore all the free DMP templates available to you.
The DMPTool can:
- Help you meet the funding requirements of your next grant.
- Facilitate collaborative plan creation and co-ownership with colleagues.
- Put you in touch with expert help at Lane Library and Stanford University Libraries
If you would like assistance completing a data management plan for a grant proposal, please contact your liaison librarian to schedule a 1-1 consultation.
Expert: Identify a repository that best suits your data
Repository Selection
Today's expert challenge is to bookmark a repository that best suits your research data. Use the flowchart below to find the best repository for your data.
How and where you share your data will depend on the characteristics of your data. A good rule of thumb when sharing data is to put it somewhere where it will be found by other researchers. For publicly shared data, this means choosing a repository that best suits your data.
Use the flowchart below to help you select an appropriate repository. The registry of research repositories (re3data) mentioned in the flowchart and linked below is an extremely helpful resource for identifying repositories that are specialized for certain types of data.
Choosing an appropriate repository for your data
Did you end up at the bottom of the flowchart? Learn more about Dryad.
- Dryad
Using Dryad, Stanford-affiliated researchers can publish and share research data free of charge. - Registry of Research Data Repositories
re3data is a global registry of research data repositories. The registry covers research data repositories from different academic disciplines. re3data presents repositories for the permanent storage and access of data sets to researchers, funding bodies, publishers and scholarly institutions. re3data aims to promote a culture of sharing, increased access and better visibility of research data.