LibGuides: 2022 Open Scholarship and Research Impact Challenge: Day 9: Data Management Plans

Introduction

A data management plan (DMP) is a formal document outlining how you will handle your data both during your research and after the project is completed. Developing a plan of action for managing your data is beneficial whether your funding source requires one or not.

Activities

If you need help completing these activities, review the information in the Learning Content section below.

Please fill out this form after completing 1 or more of today's activities. The more daily tasks you complete, the larger impact you may have on your own research/scholarship and the more chances you will have to win a prize for participation in the 2022 Impact Challenge.

Activity 1

Review the requirements of the funding agency where you most often apply for grants. Keep in mind that as of January 2023 a DMP will be required for all NIH funding, so if this is your primary funding agency you might want to use this time to review the template named: NIH-GEN DMSP (Forthcoming 2023) and the coresponding supplemental information.

If you do not have funding, review the Digital Curation Centre template.

Activity 2

Sign into the DMPTool with your University of Pittsburgh e-mail address and create a mock (or real) DMP. Notify the Pitt DMPTool admins if you would like us to review and/or provide guidance.

Activity 3

Join us for office hours and chat with a librarian about DMPs! You are welcome to drop in anytime.

Date: April 7, 12-2pm
Librarians: Melissa Ratajeski and Dominic Bordelon
Zoom meeting: https://pitt.zoom.us/j/96243379188
Passcode: 257929

Learning Outcomes

Why Create a DMP

Many funding agencies require formal data management and/or sharing plans as part of their granting process. Each funding agency has specific requirements so be sure to check for your specific grant.

NIH Data Sharing Policy (2003)
Requires applications with direct costs greater than $500,000 in any single year to address data sharing in their application. Will be replaced by the Final Policy for Data Management and Sharing.
NIH Policy for Data Management and Sharing (2020)
Requires NIH funded researchers to proactively plan for how scientific data will be preserved and shared through submission of a Data Management and Sharing Plan (effective date: January 25, 2023). Supplemental information includes: elements of a data management and sharing plan, allowable costs for data management and sharing, and selecting a repository for data resulting from NIH-supported research.
NSF Data Management Plan Requirements and Data Sharing Policy
Proposals must include a supplementary document of no more than two pages labeled "Data Management Plan." This supplementary document should describe how the proposal will conform to NSF policy on the dissemination and sharing of research results.
Collection of Funder Requirements
This non-comprehensive list includes funder requirement templates maintained by DMPTool.

However, there are many other reasons to create a DMP besides as a grant requirement, including:

promotes discovery, new research
supports validation, replication of research
facilitates sharing & preservation
increases article citation rate
saves valuable time
decreases chance of data loss

Components of a DMP may Include

Data Types = what data?
- kinds of data, how and who collected it, how much
Data Formats = data details?
- what format, research field standards, documentation, metadata
Data Access = data restrictions?
- privacy / de-identified, security, IP / copyright, embargo
Data Re-use = data sharing?
- requirements, organization, annotation, availability, citation information
Data Preservation & Archiving = data saving?
- long term plan, format issues, back up, costs

Additional Resources

Build a Data Management Plan

DMPTool
DMPTool helps researchers create, review, and share data management plans that meet institutional and funder requirements. You can sign on with your University of Pittsburgh e-mail address.