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An app that aims to make life easier for researchers working on bilingualism, sociolinguistics, language attitudes, and regional/minority/minoritized languages.

Project description

The L’ART Research Assistant is a freely available open-source app that aids researchers in the collection, storage and transfer of data for research in bilingualism and language attitudes, especially in cases of bilinguals who speak a majority language and a regional / minority / minoritized language.

Features

  • Fieldwork-ready — use the included versions of the LSBQe, AToL, MGT, and digital informed consent forms, or make your own versions.

  • Reproducible — make your research reproducible by simply sharing version information.

  • Extensible — contribute with JSON, Python, HTML and JavaScript or import the backend in your own Python project.

  • Free and open — dual-licensed under the AGPLv3-or-later and the EUPL-1.2+.

  • Cross-platform — runs on Windows, Linux, and MacOS.

Screenshot

https://repository-images.githubusercontent.com/458875402/562a6dea-f501-4086-a192-63ab34d5823d

Installation

Installation on Windows is super simple: Go to the Releases <https://github.com/lart-bangor/research-assistant/releases> and download the Windows installer for the latest version (or an earlier one if you need that). Run it and follow the instructions.

For a detailed walk-through, and instructions for Linux and MacOS, see our Installation Guide.

Documentation

Comprehensive documentation for the L’ART Research Assistant, including a User Guide, Quick Tutorials, a Developer Guide and an API Reference for both the backend and frontend are available from the official documentation hosted on Read the Docs.

Contributing

Development of the L’ART Research Assistant is a collaborative effort which we hope will benefit many researchers in our field. Your contributions are actively welcome. Please see the Contributing section of our Developer Guide for all you need to know to get going.

Citing

If you use the L’ART Research Assistant (or parts of it), please cite the following document or directly import the project’s citation metadata into your reference manager.

Breit, F., Tamburelli, M., Gruffydd, I. and Brasca, L. (2023). The L’ART Research Assistant app: A digital toolkit for bilingualism and language attitude research [Software, version 0.5.0]. Bangor University.

DOI: 10.13140/RG.2.2.18801.35686

Questions, issues, …

For any questions not answered by the documentation, or anything you wish to disucss that’s to do with the app, use the GitHub Discussions feature.

To report issues/bugs, please use GitHub Issues.

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