Lectures related to Metadata | EPFL Graph Search

Covers the importance of metadata in geographic information systems, focusing on standards and principles.

Explores neuroscience data analysis, focusing on K+ and Na+ currents, Ca²+ currents, and data reproducibility.

Explores table storage in data lakes, discussing record updates and system comparisons.

Covers the importance of metadata in geoinformation and international standards like ISO/TC 211 and the INSPIRE directive.

This tutorial covers selecting, loading, transforming, integrating, and accessing neuroscience dataset metadata using MINDS schema.

Explores selecting, loading, transforming, integrating, and accessing neuroscience datasets with MINDS.

Highlights the importance of metadata in describing datasets for geographic information systems.

Highlights the importance of metadata in GIS datasets and national data infrastructures.

Focuses on EPFL DH students' internship report on art history research and categorizing illustrations from art journals.

Explores music genre selection, personalization settings, and metadata use in a favorite music app.

Covers a tutorial on recommending similar neuroscience datasets using knowledge embeddings.

Covers the setup of a Gitlab agent for Kubernetes, focusing on installation, version control, and troubleshooting.

Explores metadata standards, the Gene Ontology, and brain atlases in neuroscience.

Explores personalized music recommendations to enhance user experience through metadata and user input.

Explores data representation, databases, cloud computing, and challenges in the cloud environment.

Emphasizes data reproducibility and reusability in in silico neuroscience, focusing on neuroinformatics tools and methods.

Covers the importance of metadata for accessing information and structuring data for storage and transmission.

Explores data virtualization in SmartDataLake project, covering query optimization, storage tiering, and challenges in processing heterogeneous data.

Explores the importance of metadata in organizing media libraries and the challenges in retrieving specific works or artists efficiently.

Explores neuroscience data analysis, emphasizing structured data, computational tools, and the trend of computational neuroscience as a service.