If you would like some help creating a data management plan for a grant application or project you're working on, please email email@example.com.
Managing research data is an integral part of conducting research, and having a systematic way to do this provides evidence of data integrity in your research process. Research data management is the systematic organization of data throughout the research cycle, including:
Planning and developing a data management plan (DMP)
Collecting and storing data
Processing, uploading, and retrieving data
Analyzing data and publishing research results
Storing data for long-term access or archiving
In addition to data created during the research process, other research materials such as instrumentation or technical manuals, often require organization and curation. The UNT Libraries offer two digital repositories for managing, preserving, and providing access to your research data and research output: The UNT Data Repository and UNT Scholarly Works.
Nearly all federal funding agencies require researchers to submit data management plans as part of their grant applications. Often these plans include provisions for making data publicly accessible. A majority of private funding agencies also require data management plans as part of their proposal submission.
Benefits of Data Management
Data management throughout the research process has the following benefits:
Increases the impact of your research by citing data from authoritative sources
Provides evidence and documentation for your research data in conjunction with published results
Complies with funders requirements and with copyright, access, and ethical considerations (such as HIPAA or FERPA)
Preserves data for long-term access and safeguards your investment from loss
Allows you to share data with others to further new discoveries and research
It's important to plan how you will collect, use, preserve, and share your data and research materials at the beginning of your research. Use the submenu tabs on the left to familiarize yourself with key components of data management and services within the UNT community.