What are roles in a data management and sharing plan?
A data management and sharing plan should identify all person(s) responsible for managing and/or sharing the research data generated by your proposed project. These responsibilities could belong to one or many team members in a grant.
Considerations for determining roles and responsibilities
Early in the proposal planning process, it is important to identify team member roles and their responsibilities regarding your research data. This is typically a requirement of most funding agency data management and sharing plans. The NIST Research Data Framework (RDaF) is a great resource that provides Profiles to help researchers identify important roles throughout a research project.
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Many funding agencies allow for data management and sharing activities and roles to be included within the project budget. Allotting the necessary staff and resources to effectively manage and share your research data is important and should be costed into your project.
Resources at UNC
As you plan your research project, here are some groups at UNC you might consider reaching out to for support, training, or consultation.
Name | Description | Services | URL |
|---|---|---|---|
IRB | Ethical and regulatory oversight of human subjects research | IRB reviews, training, and consultations | |
ITS Research Computing | Provides computing and data infrastructure support for researchers | High performance computing systems (HPCs); Virtual computing lab (VCL); Secure research workspace; Access to national resources; Training and presentations; Quantum computing; Storage and application solutions for research | |
NC TraCS | Grant-funded institute dedicated to serve the clinical trials research community | Proposal development; Community engagement; Guidance on conducting clinical research; Education and training on study design, data and analysis in clinical research; tools and resources for clinical research and proposal development; funding opportunities | |
The Odum Institute for Research in Social Science | Provides education and support for planning, implementing, and disseminating research data | Planning, data collection and analysis consultations for quantitative, qualitative, and mixed methods research; Short courses and trainings on tools, methods, and best practices in research; Research design; Statistical analysis; Network data analysis; Text analysis; Survey research support | |
Office of Sponsored Programs – Industry Contracting | Responsible for reviewing and executing agreements for sponsored research projects | Clinical trial agreements; Confidentiality/Nondisclosure agreements; Data use agreements; Data transfer agreements; Material transfer agreements | https://research.unc.edu/sponsored-programs/resources/industry-contracting/ |
Office of the Vice Chancellor for Research | Oversees, develops, and supports UNC’s research community. | Provides information on funding opportunities, proposal development, awards management, compliance, data management and sharing, and research translation | |
RENCI | Develops and deploys data science cyberinfrastructure that supports researchers | Support and collaborative opportunities in clinical informatics and AI, data science and analytics, earth data science, network research and infrastructure, and software architecture | |
Research Data Management Core | Offers support for data management and sharing in compliance with funding agency requirements | DMSP reviews; Training and presentations; Research data management guidance; UNC Dataverse data repository support; Data storage solutions; Data sharing and preservation solutions; Consultations | |
UNC Counsel | Represents the University on legal matters involving or affecting the institution | Attorney practice areas in Information technology, intellectual property, and research | |
UNC Libraries | Offers support for researchers and students on finding, accessing, and purchasing data | Data services include finding data and purchasing data | |
UNC Research Core Facilities | Shared resources that offer services to support the UNC research community | Technical infrastructure, support and equipment for animal models, biochemistry, clinical/translational, genomics, and imaging research; Rigor and reproducibility support; Training and education | https://wwwosp.med.unc.edu/corefacilitiescore-facilities/core-facilities-at-unc/ |
References
Hanisch, R., Kaiser, D. L., Yuan, A., Medina-Smith, A., Carroll, B. C., & Campo, E. (2023). NIST Research Data Framework (RDaF):: Version 1.5 (NIST SP 1500-18r1; p. NIST SP 1500-18r1). National Institute of Standards and Technology. https://doi.org/10.6028/NIST.SP.1500-18r1
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