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How can data visualization support interdisciplinary research? LuxTIME: studying historical exposomics in Belval.
Dagny Aurich1, Aida Horaniet Ibañez2
1Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Frontiers in Big Data
|October 16, 2023
Summary
The Luxembourg Time Machine (LuxTIME) project studied the historical exposome in the Minett region, using diverse data sources and advanced data visualization. This approach created a flexible toolbox for interdisciplinary historical exposome research.
Area of Science:
- Environmental Health Sciences
- Historical Research
- Data Science
Background:
- The historical exposome, encompassing environmental and lifestyle factors, significantly impacts population health.
- Industrialization in Luxembourg's Minett region presents a unique case for studying historical exposome impacts.
- Interdisciplinary approaches are crucial for understanding complex historical health determinants.
Purpose of the Study:
- To investigate the historical exposome in Luxembourg's Minett region during industrialization.
- To develop and test a multi-layered research design for historical exposome studies.
- To explore the utility of data visualization as a core tool in interdisciplinary research.
Main Methods:
- Collected diverse quantitative and qualitative data from national and local archives, libraries, and digital resources.
- Employed data visualization as a primary navigation and exploration tool for collected data and metadata.
- Utilized a speculative, process-oriented approach ('sandcastles') to knowledge advancement.
Main Results:
- Successfully created a proof-of-concept for a multi-layered historical exposome research design.
- Data visualization facilitated knowledge mapping, scope definition, and reflection on research processes.
- Identified and documented various data visualization techniques suitable for interdisciplinary projects.
Conclusions:
- The Luxembourg Time Machine project demonstrated the feasibility of studying historical exposomes using integrated data and visualization.
- Data visualization serves as a critical tool for enhancing interdisciplinary collaboration and knowledge discovery.
- The developed 'data visualization toolbox' offers a transferable framework for future historical exposome research.
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