UMSL GUIDE TO DATA MANAGEMENT
This guide presents information on the effective management of data created through research — including creating a data management plan for grant or project proposals, preserving data after project completion and sharing data with other researchers.
To help UMSL Faculty with their data management needs they can also reach out to librarian Helena Marvin by email at firstname.lastname@example.org or have a meeting. If you would like to book an appointment you can do so automatically at https://umsl.libcal.com/appointments/marvinh.
DMPTool is a service provided by the library to all researchers on on campus. The tool allows a researcher to create, review, and share data management plans that meet the needs of your research funders and our institution. DMPTool is customized to our campus and provides detailed templates for 100's of different funding agencies.
Free and open to all campus researchers.
UMSL users can log in using their Shibboleth / SSO ID and password.
Guides you through the process of creating a data management plan to meet funder requirements.
Provides links to funder information, suggested answers, and data management resources.
To access the tool click the DMPTool logo or visit: http://dmptool.org/.
The UMSL Libraries provide access to the DMPTool, a free resource that enables researchers to create data management plans for their research projects or grants by offering funder-specific templates, example answers, and guidance. Recently, the DMPTool has developed a new template in response to the NIH's Data Management and Sharing Policy, which took effect on January 25, 2023. To better assist the research community, UMSL Libraries have added guidance and examples specific to UMSL to the DMPTool template. Below is an outline of the process to utilize this template, which is also illustrative of how the DMPTool works.
First, become familiar with the DMPTool:
Next, create a new plan using the "NIH-GEN DMSP (2023)" Template:
A new page with a green box at the top should appear with the note: "Successfully created the plan.
This plan is based on the National Institutes of Health (nih.gov): 'NIH-GEN DMSP (2023) ' template."
Finally, here are some steps to successfully use the Template and associated resources:
Research data is any systematic collection of information that is used by researchers for analysis. Typical examples of data include:
Research data can also include video, sound, or text data, as long as it is used for systematic analysis. For example, a collection of video interviews use to gather and identify gesture and facial expressions in a study of emotional responses to stimuli would be considered research data.
All research data must be appropriately structured and documented in order for it to be used effectively for analysis. Additionally, any unique programs or models needed to analyze the data should also be preserved.
Protect your data from loss by maintaining good backups and documentatio
Secure your data through effective management of sensitive data
Conduct research efficiently by analyzing your data practices
Simplify the use and reuse of your data through proper documentation and application of standards
Increase your research visibility by publishing your datasets and documentation
Meet funding agency, legal and ethical requirements for dissemination and documentation of your research
Preserve and provide access to your data in the long term, allowing future scholars to build on your work