What is it about?

Soundscape research involves a complex array of data types, as soundscapes are defined by how acoustic environments are perceived and experienced by living beings within specific contexts. This paper aims to describe the critical data governance issues and some solutions for managing data in soundscape studies.

Featured Image

Why is it important?

We understand that soundscape studies typically incorporate various types of data, including acoustic measurements and psychometric evaluations (both qualitative and quantitative) such as assessments of loudness and sharpness, visual data (images and videos), assessments of crowd density (evaluating both the number of individuals and their activities), as well as geospatial and temporal data (detailing location specifics, environmental conditions like temperature and humidity, and various times of day). The collection, analysis, and presentation of these data are crucial steps in the research process and they are discussed thoroughly in the article.

Perspectives

Writing this article was a great pleasure as my co-authors and I discussed thoroughly about data governance issues for soundscape studies. We hope to trigger further discussions on this important topic.

Professor W.M. To
Macao Polytechnic University

Read the Original

This page is a summary of: Data governance for soundscape studies, INTER-NOISE and NOISE-CON Congress and Conference Proceedings, October 2024, Institute of Noise Control Engineering (INCE),
DOI: 10.3397/in_2024_3389.
You can read the full text:

Read

Contributors

The following have contributed to this page