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Automatic Inference of Smart Data Discovery Interfaces for Rare Disease Datasets

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conference contribution
posted on 2023-10-10, 08:52 authored by A Boronat, A Ademeyo, M Mehtarizadeh, S Zschaler

Café Variome is a flexible, web-based, data-discovery tool that offers a query language for checking the existence of biomedical data held in a federation of heterogenous data sources of rare diseases. Currently, there is a growing need for user-friendly graphical interfaces that are web-based to assist bioinformatics researchers look for cohorts of patients, across widely heterogenous data sources. Moreover, data owners who are usually clinicians, hospitals, or local trusts, lack the technical programming skills to create an interface that can help their data be queried and hence discovered. In this work, we present the design of VForms, a platform for automatically inferring smart user interfaces (UIs) from heterogeneous datasets about rare diseases. This platform consists of a domain-specific modeling language (DSL) for specifying UIs for genomic datasets. A VForm is realized as a ReactJS web form that allows rare disease medical researchers define optimized queries over rare disease datasets. Hence each VForm is a domain-specific form-based query language. VForms infers the conceptual model from a given dataset, from which a domain-specific query UI in ReactJS is automatically generated using model-to-model transformations in YAMTL. The generation process is parameterized so that medical researchers can customize the generation of UIs. The goal of this work is to demonstrate the potential of using model-driven engineering (MDE) to improve the development of UIs for genomic datasets of patients with rare diseases. By using VForms, data owners who lack the technical programming skills to create a UI that can help their data be queried and discovered, will be able to do so with minimal effort and in a more user-friendly way. Additionally, VForms allows for quick adaptation of the implementation of query interfaces to new user requirements.

Funding

MDE-Net: A UK Expert Network in Model-Driven Engineering

Engineering and Physical Sciences Research Council

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History

Author affiliation

School of Computing and Mathematical Sciences, University of Leicester

Source

HEDA 2023 International Health Data Workshop, Proceedings of the 3rd International Health Data Workshop (HEDA 2023) co-located with Software Technologies: Applications and Foundations (STAF 2023). Leicester, United Kingdom, July 21, 2023.

Version

  • VoR (Version of Record)

Published in

CEUR Workshop Proceedings

Volume

3440

Publisher

RWTH Aachen University

issn

1613-0073

Copyright date

2023

Available date

2023-10-10

Temporal coverage: start date

2023-07-21

Temporal coverage: end date

2023-07-21

Language

en

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