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What is a Data Management Plan (DMP)?
A data management plan (DMP) is a living document throughout the project cycle that outlines how data will be handled throughout a research project.
Benefits of creating a DMP
- Enhances the transparency and integrity of your research.
- Ensures the project meets the requirements of many institutions and funding agencies.
- Helps to increase the awareness of potential data management obstacles.
- Finally, a DMP helps to save time in the long run.
DMP tools
List to be added
The GFBio DMP Tool
The GFBio DMP Tool provides an intuitive platform for the creation of detailed Data Management Plans (DMPs). It is user-friendly, and there are DMP officers to guide and support you.
This tool contains important questions on data management planning as it is based on the DFG Guidelines on the Handling of Research Data in Biodiversity Research.
Major features of the GFBio dmp tool
Users need to respond to important questions about their project's data management.
Next, download the entries as a structured PDF file.
DMP officers save a copy of the entry in the system and review it.
Users can also request free personal DMP support from DMP experts.
The tool users have the opportunity to save and edit their entries in the personal account they've established.
Steps to create a DMP with the GFBio DMP tool
Account access
Visit the GFBio DMP Tool website : https://www.gfbio.org/plan/
Create an account to save and manage your DMPs. This allows you to archive your entries, seek personal assistance, and review your DMP as your project advances.
Creating a new DMP
After logging in, initiate the creation of a new DMP. The tool will guide you through a sequence of enquiries categorised into five principal sections:
- General Project Information: Include project title, description, and funding sources.
- Data Collection: Define data kinds, formats, and methodologies.
- Documentation and Metadata: Develop data documentation strategies and metadata protocols.
- Ethics and Legal Compliance: Pertains to ethical issues, data privacy, and legal responsibilities.
- Preservation and sharing: Data Storage, Backup, Archiving, and Sharing Strategies
General project information
Begin by providing fundamental information about your project, including:
- Project Title.
- Principal Investigator.
- Project Description.
- Financial resource information.
Data collection
Describe the data you wish to collect or generate:
- Data types (e.g., observational, experimental, simulated):
- Data formats
- Projected data volume
- Methods and tools for data collection
Documentation and Metadata
Describe the approach for documenting your data.
- Metadata standards that will be implemented
- Tools for creating metadata
- Documenting procedures for data analysis
Ethics and legal issues
Examine the ethical and legal ramifications.
- Data protection protocols
- Intellectual Property Rights
- Ethical approvals (if applicable).
Preservation and Sharing
Describe your long-term data preservation and distribution strategies:
- Project data storage
- Long-term preservation plan.
- Methods and platforms for data sharing.
- Access restrictions (if appropriate)