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Related Experiment Video

Updated: Nov 10, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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The Modern Research Data Portal: a design pattern for networked, data-intensive science.

Kyle Chard1,2, Eli Dart3, Ian Foster1,2

  • 1University of Chicago, Chicago, IL, United States of America.

Peerj. Computer Science
|April 5, 2021
PubMed
Summary

We present a new design pattern, the Modern Research Data Portal, for high-speed, secure access to large research data. This pattern improves data transfer performance and reduces costs by disaggregating traditional portals.

Keywords:
Data transfer nodeGlobusHigh-speed networkPortalScience DMZ

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Area of Science:

  • Computer Science
  • Data Management
  • Scientific Computing

Background:

  • Traditional research data portals are often monolithic, leading to performance bottlenecks and high operational costs.
  • There is a growing need for efficient, secure, and scalable solutions for accessing and transferring large scientific datasets.

Purpose of the Study:

  • To introduce a new design pattern, the Modern Research Data Portal (MRDP).
  • To outline best practices for convenient, high-speed, and secure access to large data via research data portals.
  • To demonstrate how the MRDP pattern can be implemented using Python APIs and cloud services.

Main Methods:

  • Introduction of the Modern Research Data Portal (MRDP) design pattern.
  • Leveraging high-performance data enclaves and cloud-based data management services.
  • Utilizing Python APIs for authentication, authorization, data transfer, and data sharing.
  • Providing sample code and application skeletons for practical implementation.

Main Results:

  • Achieving orders-of-magnitude increases in data transfer performance.
  • Enabling deployment architectures that decouple control logic from data storage.
  • Reducing development and operations costs for research data portals.
  • Demonstrating the implementation of various research data portal capabilities using Python APIs.

Conclusions:

  • The Modern Research Data Portal (MRDP) design pattern offers a scalable and performant solution for research data access.
  • Disaggregating traditional portals and leveraging modern cloud services significantly enhances data transfer capabilities.
  • Python APIs provide a flexible and powerful toolkit for building and managing research data portals.