The Modern Research Data Portal: a design pattern for networked, data-intensive science

PeerJ Comput Sci. 2018 Jan 15:4:e144. doi: 10.7717/peerj-cs.144. eCollection 2018.

Abstract

We describe best practices for providing convenient, high-speed, secure access to large data via research data portals. We capture these best practices in a new design pattern, the Modern Research Data Portal, that disaggregates the traditional monolithic web-based data portal to achieve orders-of-magnitude increases in data transfer performance, support new deployment architectures that decouple control logic from data storage, and reduce development and operations costs. We introduce the design pattern; explain how it leverages high-performance data enclaves and cloud-based data management services; review representative examples at research laboratories and universities, including both experimental facilities and supercomputer sites; describe how to leverage Python APIs for authentication, authorization, data transfer, and data sharing; and use coding examples to demonstrate how these APIs can be used to implement a range of research data portal capabilities. Sample code at a companion web site, https://docs.globus.org/mrdp, provides application skeletons that readers can adapt to realize their own research data portals.

Keywords: Data transfer node; Globus; High-speed network; Portal; Science DMZ.

Grants and funding

This work was supported by the United States National Science Foundation (ACI-1148484) and Department of Energy’s Office of Advanced Scientific Computing Research (DE-AC02-06CH11357). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.