Welcome to the Data Management @ ODU library guide! This resource will help you get started with data management, including what it is, why it is important, and guidelines for best practices.
Research data, as defined in ODU Policy #5350: Research and Scholarly Digital Data Management Policy, is digitally recorded information that are necessary to support or validate a research project's observations, findings, or outputs. This policy is maintained by the ODU Research and Scholarly Data Governance Committee (RSDGC) and establishes general digital data management standards and responsibilities for Old Dominion University researchers.
Regardless of the research methodology you use (qualitative, quantitative, or mixed-methods) and format of your research data (whether it includes numeric information, text, images, audio, video, or something else entirely!) managing your data from the beginning to the end of your research project will make the process more efficient, secure, reproducible, and compliant with funder and/or journal requirements.
For information about the NIH Data Management and Sharing (DMS) Policy (effective January 25, 2023) please refer to the National Institutes of Health section of the Data Management Funder Policies library guide.
The ODU Libraries can assist with:
We can provide instruction, workshops, and consultations regarding the above topics. Use the contact information provided on this page, or contact your Subject Specialist for additional information.
Campus partners work together to provide support and assistance to researchers regarding the research lifecycle
The Division of Research and Economic Development houses six research offices:
The Division of Digital Transformation & Technology supports three core pillars: Strategic Enrollment, Digital Transformation, and Technology Innovation. Technology Services are also provided by this division, which supports the following Technology Resources for Researchers:
This video, Data Sharing and Management Snafu in 3 Short Acts, was created by the NYU Health Sciences Library and highlights "what shouldn't happen when a researcher makes a data sharing request" (NYU Health Sciences Library, 2013, Video Description).
