The Modern Research Data Portal: a design pattern for networked, data-intensive science
- Univ. of Chicago, IL (United States); Argonne National Lab. (ANL), Argonne, IL (United States)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Sciences Network
We describe best practices for providing convenient, high-speed, secure access to large data via research data portals. Here, 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.
- Research Organization:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC)
- Grant/Contract Number:
- AC02-05CH11231
- OSTI ID:
- 1425432
- Journal Information:
- PeerJ. Computer Science, Vol. 4, Issue 1; ISSN 2376-5992
- Publisher:
- PeerJ Inc.Copyright Statement
- Country of Publication:
- United States
- Language:
- English
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