Support Tools for Hybrid Research, EDIGA Project

Libertad Tansini, Regina Motz

2025

Abstract

In the digital age, where social interactions extend into complex virtual environments, digital ethnographies have become essential methodologies for understanding identity and community formation. However, the integration of diverse data types (textual, visual, and relational) poses significant technological challenges. This paper presents an integrated platform designed to address the fragmentation of tools in qualitative research workflows. The system comprises: (1) a mobile application for multimodal data collection; (2) a digital field diary with collaborative annotation features; (3) an image anonymization tool with automatic face/blurred text detection; and (4) a web portal for unified data visualization and analysis. Developed through an iterative design process with researchers from the EDIGA project, a transnational study on teenage gender identities in digital spaces, the platform solves critical points identified in traditional approaches: data silos in cloud storage, inconsistent file naming, and disconnection between collection and analysis tools. The proposed architecture enables end-to-end management of ethnographic data while maintaining GDPR compliance through built-in anonymization features. The paper contributes both a technical framework for integrated ethnographic tools and practical insights on overcoming interoperability challenges in qualitative research software.

Paper Citation

in Harvard Style

Tansini L. and Motz R. (2025). Support Tools for Hybrid Research, EDIGA Project. In Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KMIS; ISBN 978-989-758-769-6, SciTePress, pages 534-541. DOI: 10.5220/0013831000004000

in Bibtex Style

@conference{kmis25,
author={Libertad Tansini and Regina Motz},
title={Support Tools for Hybrid Research, EDIGA Project},
booktitle={Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KMIS},
year={2025},
pages={534-541},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013831000004000},
isbn={978-989-758-769-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KMIS
TI - Support Tools for Hybrid Research, EDIGA Project
SN - 978-989-758-769-6
AU - Tansini L.
AU - Motz R.
PY - 2025
SP - 534
EP - 541
DO - 10.5220/0013831000004000
PB - SciTePress