❓ Embedded metadata powers FAIR standards and unparalleled insights!
Funding agencies require recipients to meet FAIR requirements by developing data management plans (DMPs). A DMP is a document that describes how data will be collected, managed, and shared. It should include information on how the data will be made FAIR.
Funding sources that demand FAIR
- National Institutes of Health (NIH)
- National Science Foundation (NSF)
- Department of Energy (DOE)
- National Aeronautics and Space Administration (NASA)
- Agency for Healthcare Research and Quality (AHRQ)
- Patient-Centered Outcomes Research Institute (PCORI)
Why Metadata-Hub
Metadata-Hub can help academic researchers:
- Meet FAIR requirement to win and retain grants
- Improve the discoverability of their research data
- Organize their research data more effectively
- Accelerate their research
- Improve the discoverability of research data. Metadata-Hub makes it easy for researchers to access, publish, and share their metadata with others, both within their own institutions and with the wider research community. This can increase the visibility of their research and make it easier for other researchers to find and use their data.
- Organize their data more effectively. Metadata-Hub can help academics organize and manage their data more effectively. By storing metadata about each data asset, such as its type, format, and contents, Metadata-hub can help academics to:
- Understand what data they have and where it is located.
- Track the lineage of their data and how it has been used.
- Identify and correct errors in their data.
- Preserve their data for future use.
- Accelerate their research. Metadata-Hub makes it easy for researchers to search and analyze their data. This can help them identify patterns and trends and make new discoveries more quickly.
How Metadata-Hub Works
Metadata-Hub connect to the data source, opens the file and harvests the metadata. Metadata is collected from all data stores providing a global data view.
- Deploys in minutes
- A user-friendly browser interface for creating, editing, and searching metadata
- low code / no code
- Search across an organization and federated data stores
- Active Directory & LDAP for access controls
- The ability to integrate with other research tools and systems
- Open APIs, Python SDK, and CLI
- KNIME module
Case Study
Academic Basic:
- Cost: Free
- Target Audience: Individual researchers, students, and small academic projects
- Features:
- Search and discovery
- Restrictions:
- Usage is strictly for non-commercial academic projects
- Capped on the number of datasets and 3rd party integration
Paid Model:
- Academic Pro:
- Cost: Tiered pricing
- Features:
- All features are from Academic Basic.
- Advanced 3rd-party integration and analytics tools
- Custom integrations and features
- Restrictions:
- The discounted rate applies strictly for academic purposes.
GRAU Support
- Educational Workshops: Host workshops and webinars tailored for academic users on metadata management best practices and the benefits of Metadata-Hub.
- Partnerships: Collaborate with academic institutions, offering them pilot programs or case study opportunities.
- Referral Programs: Offer additional features or storage for academic users who refer Metadata-Hub to colleagues or other departments.
- Feedback Loops: Continuously engage with the academic community, collecting feedback and iterating on the platform to better suit their needs.
Questions?
Links to Additional Documents
Metadata Supporting Materials