Supporting FAIR Principles
- The FAIR principles—Findability, Accessibility, Interoperability, and Reusability are important for mananging digital cultural heritage.
- Data science helps these principles by using tools and methods that make cultural data easily searchable, accessible, and usable for both researchers and the common public.
- Open-source software designed specifically for cultural organizations helps combine separate sets of data. This makes it easier for researchers to work together and engage the public.
Role of Data Science in Preserving Cultural Heritage
In today’s digital age, the integration of data science is crucial for maintaining our collective history and culture. Through digitization, predictive analytics, virtual reconstruction, semantic analysis, and other data-driven approaches, data science not only aids in the conservation of tangible artefacts but also facilitates the preservation of intangible cultural practices and knowledge.
This article explores how data science is enabling innovative methods to protect cultural heritage, ensuring that they are preserved for future generations.
Table of Content
- Role of Data Science in Preserving Cultural Heritage
- Digitalization and Cultural Heritage
- Supporting FAIR Principles
- Long-Term Digital Preservation
- Culturomics and Quantitative Analysis
- Public Involvement Beyond Digital Collections
- Challenges and Limitations of Data Science