Research Data Management (RDM) Assistance
SEAS Research Data Management (Harvard School of Engineering and Applied Sciences)
This website provides resources on Research Data Management (RDM) principles and concepts, tailored to support the research community.
Research Data Services (Harvard Library)
Harvard Library Research Data Services connects members of the Harvard community to resources and services that span the research data lifecycle. These services ensure that Harvard’s multidisciplinary research data is findable, accessible, interoperable, and reusable (FAIR).
Harvard Data Management Support (Office of Vice Provost for Research)
Many Harvard faculty, staff, scholars, and students engage in research involving identifiable, sensitive, or private information. Federal law and Harvard policy offer specific guidance and requirements for protecting such research information.
Harvard Biomedical Data Management (Harvard Countway Library)
This website provides guidance and resources for research data management planning, including tools and support relevant throughout your career. It also offers information on funding agency and institutional requirements to help you effectively manage your data and prepare it for sharing and reuse.
RSpace (Research Space)
RSpace makes it easy to organize, manage, and share your research projects and outputs in a centralized, secure environment. Use RSpace to record notes, import data, collaborate with peers, and connect with your favorite tools.
Harvard Dataverse
Dataverse is a free data repository open to all researchers from any discipline, both inside and outside of the Harvard community, where you can share, archive, cite, access, and explore research data.
Back up your Data
3-2-1 back up rule: having at least 3 copies of your data, 2 of which are local but on different devices, and at least 1 copy offsite
The Research Data Lifecycle
Research data management involves overseeing and organizing data across all stages of the research lifecycle—from the initial idea and proposal writing to generating results, publishing, and curating data for public access. This process requires deliberate planning and ongoing attention to detail throughout the research journey.
