Orion should also be modular so that users with technical expertise can tailor the backend by adding or removing components according to their needs. Orion should be flexible, meaning that it can be easily reconfigured to work with different thematic topics and levels of analysis. We organised Orion’s backend accordingly to accommodate the needs of both communities. We expect Orion to be used by researchers and policymakers and their needs and expertise can vary. In this post, I will discuss Orion’s backend as well as some important data and design choices. Orion can be split into three parts a backend that includes the processes that collect and analyse research data, a search engine and a data visualisation layer.
In the previous blog, I introduced Orion, an open-source tool for the science of science that I am developing as part of my fellowship with Mozilla. A walkthrough of Orion’s backend, data and design decisions
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