SENov 21, 2019

Kooplex: collaborative data analytics portal for advancing sciences

arXiv:1911.09553v11 citationsHas Code
Originality Synthesis-oriented
AI Analysis

This work addresses the need for efficient virtual research platforms for scientists, but it is incremental as it builds upon existing open-source and commercial solutions.

The authors tackled the challenge of facilitating collaborative data analytics in scientific research by developing KOOPLEX, an open-source, modular platform that integrates dynamic collaboration, customizable environments, data sharing, and reproducibility, resulting in a scalable and easily deployable solution.

Research collaborations are continuously emerging catalyzed by online platforms, where people can share their codes, calculations, data and results. These virtual research platforms are innovative, community oriented, flexible and secure as required by modern scientific approaches. A wide range of open source and commercial solutions are available in this field emphasizing the relevant aspects of such a platform differently. In this paper we present our open source and modular platform, KOOPLEX, which combines the key concepts of dynamic collaboration, customizable research environment, data sharing, access to datahubs, reproducible research and reporting. It is easily deployable and scalable to serve more users or access large computational resources.

Foundations

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