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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. 

Enabling collaborative research at Duke

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


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.


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.


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.

FAIR data principles
In 2016, the ‘FAIR Guiding Principles for scientific data management and stewardship’ were published in Scientific Data. Adherence to these principles is increasingly important in the research community—the Dataset Registry provides the tools that will enable researchers to comply with FAIR principles as simply as possible.

image source: CGIAR

An intuitive data entry form interface allows users to easily enter details about their datasets
Summary details for each dataset are displayed for users to browse, review, and identify entries of interest
Simple and comprehensive search function returns datasets fitting the needs of the user
Users apply keywords to their datasets during registration, further simplifying the search and retrieval process
Dataset Registry utilizes integration with Shibboleth and Active Directory for simplified login, role-based access, and collaborator tagging.
Registering datasets in the system captures required elements of metadata needed to comply with FAIR data principles
Captured metadata
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