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ZENODO
Software . 2021
Data sources: Datacite
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ZENODO
Software . 2021
Data sources: Datacite
ZENODO
Software . 2021
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WU-BIMAC/4DN Metadata Schema XSD 2 JSON Converter

Authors: Alessandro Rigano; Caterina Strambio-De-Castillia;

WU-BIMAC/4DN Metadata Schema XSD 2 JSON Converter

Abstract

This is a converter written in Java that translates an XSD microscopy metadata schema into JSON. The main function of this Java-encoded component is to transform the XML Schema Definition (XSD) implementation of the 4DN-BINA-OME Data Model into a JSON-based schema, which is subsequently ingested by Micro-Meta App to automatically generate the software GUI and the associated data insertion forms. The XSD to JSON Schema converter middleware utilizes the Xerces2 Java XML Parser, and the W3C Java XML bindings libraries to navigate the XSD schema and produces two kinds of version-aware JSON files: A comprehensive JSON file containing an array of the schemas for all necessary individual components that constitute the 4DN-BINA-OME Data Model (e.g., Objective, Filter, or Detector). This comprehensive JSON file is specifically designed to facilitate the remote loading of the schema by web-portal embedded React implementations of the Micro-Meta App. The comprehensive JSON schema is available as an individual file on GitHub and can be found here. A series of JSON files each containing the schema of individual components, which were designed to be employed by the Electron implementation of Micro-Meta App. These individual schema files are available within a subdirectory of the main repository on GitHub available here. The middleware was specifically designed to maximize flexibility and extensibility. As such, the software allows the introduction of implementation-specific modifications of the resulting JSON schema so that it can be adapted for special purposes. For example, the introduction of a "Version" field allows the validation of whether or not the data being saved is compatible with the specific version of the schema being employed. As a further example, the introduction of the "Category" field allows the organization of different components in specific sub-menus across the sidebar. In order to facilitate the evolution of the model while ensuring back-compatibility, the GitHub repository supports versioning by storing all revisions of the output JSON schema.

{"references": ["Huisman M, Hammer M, Rigano A, Boehm U, Chambers JJ, Gaudreault N, et al. A perspective on Microscopy Metadata: data provenance and quality control [Internet]. arXiv [q-bio.QM]. 2021. Available from: https://arxiv.org/abs/1910.11370", "Hammer M, Huisman M, Rigano A, Boehm U, Chambers JJ, Gaudreault N, et al. Towards community-driven metadata standards for light microscopy: tiered specifications extending the OME model. BioRxiv [Internet]. 2021 Apr 25; Available from: https://www.biorxiv.org/content/10.1101/2021.04.25.441198v2"]}

Additional support: -- NSF grant #1917206 to D.G.; -- Chan Zuckerberg Initiative DAF (Silicon Valley Community Foundation) grant #2019-198155 (5022) awarded to C.S.D.C. as part of the Imaging Scientist Program. -- Chan Zuckerberg Initiative DAF (Silicon Valley Community Foundation) grant ##2020-225398 awarded to C.M.B. as part of the Imaging Scientist Program. - Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) grant number Ni 451/9-1 MIAP-Freiburg, to R.N.

Related Organizations
Keywords

metadata, microscopy, data provenance, open-microscopy, data-formats, quality control, calibration, reproducibility, Imaging, bioimage informatics

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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impulse
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