Writing a data plan
Why do I need a plan?
- Duke policies related to data management, sharing & retention
- Funding agency policies related to data management, sharing & retention
- Details on the NSF data management plan requirements
- Data Management Lifecycle
Sample plans & templates
- Duke-specific guidance on writing a data plan for NSF (PDF document)
- DMPTool — data management planning toolkit from the California Digital Library
- ICPSR Sample Data Management Plan
Managing your data
Storage & backup
Ask your IT provider to discuss how to include appropriate data management practices into planning for data storage and backup
Data archiving & preservation
Sharing your data
Licensing & intellectual property
Get help at Duke
This website will help get you started with information on the effective management of data you are creating through your research — including developing a data management plan for your grant or project proposal, archiving data at the end of your project and sharing data with other researchers as appropriate.
If you're a member of the Duke community, Library Data and GIS Services is available to help you with your data management planning. Contact firstname.lastname@example.org or view our walk-in consulting schedule. We can advise you and connect you with others who may be able to provide the support you need to execute your data management plans.
See other sources of help at Duke related to data management.
Get additional help
Some sources of guidance on data management from other universities:
Why manage & share data?
Funding Agency Requirements
Many funding agencies require data management plans for different reasons. Tailor your plan to the goals and requirements of the funding agency. Funders often ask how you will:
- Protect confidentiality, consent & safety of research subjects
- Promote data sharing & transparency
- Support efforts to verify & replicate findings
Transparency & Replication
- Replication relies on clear documentation of data and changes used in analyses
- Reuse of data for new applications is common in most disciplines
- Requests for data may follow from publication of results, and advance preparation simplifies the response process
Data Preservation & Annotation
- Documentation of data items and structure at the time of compilation reduces the time needed to understand data organization and contents should the data be needed in future
- Duke requires the retention of research data and pertinent notes for at least 5 years after completion of a project
- Early attention to data documentation and preservation plans reduces the effort required to transition to permanent storage
- Changes in research staff impact the progression of a research project to a lesser extent with clear documentation and planning
- Preservation in a data repository provides an additional backup for your research data
Citations & Recognition
Data repositories provide another route to the discovery of your research and can increase the visibility of your work, especially when used widely