Human-Data Interaction Framework: A Comprehensive Model for a Future Driven by Data and Humans
Ivan Durango, Jose A. Gallud, Victor M.R. Penichet

TL;DR
This paper presents a comprehensive Human-Data Interaction framework emphasizing auditing, aligning, formulating, and monitoring to enhance ethical, transparent, and user-centric data practices in digital environments.
Contribution
It introduces a detailed, step-by-step model for organizations to implement HDI principles effectively, integrating ethical, legal, and technical considerations.
Findings
Framework promotes trust and legitimacy in digital data interactions.
Continuous monitoring ensures practices stay current with evolving standards.
Multi-disciplinary collaboration enhances HDI implementation.
Abstract
In an age defined by rapid data expansion, the connection between individuals and their digital footprints has become more intricate. The Human-Data Interaction (HDI) framework has become an essential approach to tackling the challenges and ethical issues associated with data governance and utilization in the modern digital world. This paper outlines the fundamental steps required for organizations to seamlessly integrate HDI principles, emphasizing auditing, aligning, formulating considerations, and the need for continuous monitoring and adaptation. Through a thorough audit, organizations can critically assess their current data management practices, trace the data lifecycle from collection to disposal, and evaluate the effectiveness of existing policies, security protocols, and user interfaces. The next step involves aligning these practices with the main HDI principles, such as…
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Taxonomy
TopicsBig Data and Business Intelligence · Data Quality and Management
