Dataset Registry
User friendly data asset cataloging
Data sharing, recognized among researchers as contributing to more robust and advanced science, is becoming increasingly important in the research community. The NIH has identified a set of FAIR principles for scientific data management and expects institutions to comply by applying these principles to their data.
While data sharing is encouraged in the scientific community, researchers struggle to effectively make their data available. Appropriate tools are critical to facilitating collaborative research. The Dataset Registry has been designed as a common gateway for Duke researchers to register their own datasets, as well as search and view the catalog of shared data assets.
It has long been a goal to make it simple for Duke researchers to share data assets within the research community. Establishing the Dataset Registry as an institutional resource is a step toward a more collaborative, compliant, and open science environment at Duke
Sharing
An intuitive user interface allows researchers to quickly and easily register the details of their dataset. Our application pulls in data from established Duke directories, streamlining the dataset registration process and allowing synchronization across systems.
Data Discovery
The Registry will capture several elements of metadata about each registered dataset. An integrated search function will search across all elements, allowing researchers to easily find existing datasets that fit the needs of their work.
Reuse
With straightforward and consistent metadata logged about the datasets, researchers will be able to avoid duplicating effort, streamlining their work. Accessible datasets can be reused across related projects.
Collaboration
Each dataset cataloged in the Registry will include contact information for the PI. Once the user has identified datasets of interest, they can reach out to the PI contact for further information.
image source: CGIAR
- Dataset Name
- Description
- Research Type
- Principal Investigator
- Contact Information
- Collaborators
- Related URLS
- IRB & other regulatory identifiers
- Related publications
- Keywords
- The FAIR Guiding Principles for scientific data management and stewardship: https://www.nature.com/articles/sdata201618
- GO FAIR : https://www.go-fair.org/
- Discover Data@Duke: https://ctsi.duke.edu/research-support/discoverdataduke