OHEJP-RaDAR-D-JRP3-3.1 Inventory of available exposure assessment models and related data and transfer to FSK Standard
| Main Authors: | Annemarie Käsbohrer, Jacub Fusiak, Guido Correia Carreira |
|---|---|
| Format: | Report |
| Terbitan: |
, 2021
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| Online Access: |
https://zenodo.org/record/4476609 |
Daftar Isi:
- 1. Introduction The technological achievements of the digital age have led to an enormous increase in the number of published models. However, models are created with different programming languages. Due to a lack of harmonized model exchange formats among these tools, the exchange and usage of existing models in various software environments can be very difficult and impedes communication between researchers. The aim of this project is to provide a language independent, reproducible and user-friendly web application to facilitate the process of annotating and exchanging models. The Food Safety Knowledge Markup Language (FSK-ML) has provided a solution for a harmonized model exchange format. FSK-ML defines a framework that encodes all relevant data, metadata and model scripts in an exchangeable file format. A huge advantage of this format is that it works for all models that are written in any script-based programming language. The model metadata can be shared and controlled by adhering to a metadata schema that holds vocabularies supplied by the RAKIP initiative. However, the creation of such a file can be a time consuming and difficult process. In order to increase the usage of the FSK standard, we used the web application framework Angular to develop the RaDAR model inventory. Since its backend is based on the open-source technology of KNIME, Jupyter Notebook, Binder and Thebelab, the RaDAR model inventory can support a vast majority of programming languages that run in a reproducible cloud-computing environment.