Research Data Management Specialist
Career GuideKey Responsibilities
- Create and review data management plans for research projects
- Set standards for file organization, naming, and version control
- Develop clear documentation so others can understand and reuse datasets
- Apply metadata practices to improve findability and context
- Support secure storage, backup, and access controls for research data
- Guide researchers on data sharing, publishing, and repository selection
- Help teams address privacy, consent, and sensitive data handling requirements
- Train researchers on good data practices and available tools
- Coordinate with research IT, libraries, and compliance teams
- Monitor data retention and long term preservation needs
Top Skills for Success
Stakeholder Communication
Training Delivery
Project Management
Documentation Writing
Data Governance
Research Ethics
Privacy Compliance
Metadata Standards
Repository Workflows
Data Curation
Data Quality Management
Access Control Management
Career Progression
Can Lead To
Senior Research Data Management Specialist
Research Data Services Manager
Data Governance Lead
Research Data Librarian
Research Compliance Manager
Data Steward
Transition Opportunities
Data Product Manager
Analytics Manager
Information Security Program Manager
Knowledge Management Lead
Policy Advisor for Research Data
Common Skill Gaps
Often Missing Skills
Repository AdministrationMetadata StandardsPrivacy ComplianceResearch Data SecurityData GovernanceScripting BasicsCloud Storage ConceptsTraining Delivery
Development SuggestionsBuild a small portfolio that shows a full data lifecycle workflow, including a data management plan, a dataset documentation template, a metadata record, and a repository submission. Pair this with practical experience supporting one research group through a real data sharing or archiving milestone.
Salary & Demand
Median Salary Range
Entry LevelUSD 55,000 to 75,000
Mid LevelUSD 75,000 to 105,000
Senior LevelUSD 105,000 to 140,000
Growth Trend
Growing steadily, driven by funder data sharing requirements, research security expectations, and increased use of shared data platforms.Companies Hiring
Major Employers
UniversitiesMedical schoolsResearch hospitalsGovernment research labsNonprofit research institutesPharmaceutical companiesBiotechnology companiesPublic health agenciesAcademic librariesResearch consortia
Industry Sectors
Higher educationHealthcareLife sciencesGovernmentNonprofitTechnology services for research
Recommended Next Steps
1
Review common funder expectations for data sharing and data management plans2
Create reusable templates for file naming, version control, and documentation3
Learn core metadata concepts and practice applying them to a sample dataset4
Get hands on with at least one research repository and its submission process5
Strengthen privacy and sensitive data handling knowledge through a short course6
Partner with a lab or research group to improve one active project workflow7
Join a research data community group to learn current practices and tools8
Update your resume with measurable outcomes such as time saved, errors reduced, or datasets published