Reagon Karki‡§, Andrea Zaliani|¶, Philip Gribbon|¶, Carolina Simon#, Jose Ramon Macias¤, Bugra Özdemir«, Aastha Mathur»Corresponding author: Reagon Karki ( reagon.karki@itmp.fraunhofer.de ) © Reagon Karki, Andrea Zaliani, Philip Gribbon, Carolina Simon, Jose Ramon Macias, Bugra Özdemir, Aastha Mathur. This is an open access preprint distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Citation:
Karki R, Zaliani A, Gribbon P, Simon C, Macias JR, Özdemir B, Mathur A (2023) Open Imaging Data Sharing in EOSC: COVID-19 as Demonstrator. ARPHA Preprints. https://doi.org/10.3897/arphapreprints.e116672 |  |
This Science Project (SP) brings together three different domains of life sciences with the aim to create reproducible workflows, tools and web-services for data visualization. This SP focuses in building resources for handling data from bioimaging, structural and bio-chemical studies. The Euro-Bioimaging will implement a community standard cloud compatible open image data format and data submission workflow for high-throughput screening data. Whereas, Instruct-ERIC will develop a user-friendly web-service to access to multi-dimensional structural and imaging data. Lastly, EU-OpenScreen/Fraunhofer ITMP will create reproducible workflow for generating Knowledge Graphs that represent phenotype-chemotype of diseases. While these resources are being developed, the collaborators will also simultaneously harmonize the resources right from the beginning to enable FAIR data principles. This SP uses COVID-19 as a demonstrator, however the resources will be generalized for any disease of interest.