RDRF

RDRF provides a framework to create and manage web-based patient registries for rare diseases, enabling structured capture, reuse, and access-controlled management of phenotypic and genotypic data.


Key Features:

  • Dynamic Registry Creation: Supports dynamic construction and customization of web-based patient registries without requiring software development for each new registry.
  • Reusable Data Elements: Allows definition of data elements once and reuse across multiple registries, including phenotypic and genotypic measurements, with new elements added without altering existing code.
  • User-Driven Customization: Enables creation and modification of data elements after a registry has been established to accommodate evolving research requirements.
  • Access Control: Implements fine-grained, multi-level user and workgroup access controls at the data element level to manage data privacy across registries.
  • Derived Data Elements: Supports derived data elements to aid categorization of standards within data element communities.

Scientific Applications:

  • Public Health: Supports rapid decision-making and ongoing data mining in public health contexts.
  • Rare Disease Research: Facilitates tracking and management of phenotypic data for researchers studying rare diseases.
  • Human Disease Research: Enables structured capture and management of clinical and research data for human disease studies.
  • Sustainable Agriculture: Applies registry-based data capture and management to research needs in sustainable agriculture.
  • Biosecurity: Supports data collection and management relevant to biosecurity applications.

Methodology:

Implements dynamic registry creation without software development, definition and reuse of data elements across registries, fine-grained multi-level user and workgroup access control at the data element level, and derived data elements for categorization.

Topics

Collections

Details

License:
GPL-3.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Linux, Mac
Programming Languages:
Python
Added:
3/4/2017
Last Updated:
6/16/2020

Operations

Publications

Bellgard MI, Render L, Radochonski M, Hunter A. Second generation registry framework. Source Code for Biology and Medicine. 2014;9(1). doi:10.1186/1751-0473-9-14. PMID:24982690. PMCID:PMC4075501.

Documentation