Concept

Research data archiving

Related lectures (24)

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Colors And Dimensions: Summary

Summarizes challenges with colored images, scientific data complexity, and Fiji capabilities.

Introduction to Data: Data Types and Quality

Covers data types, quantity, quality, and representativeness in the world of data.

Data Management: FAIR Principles

Delves into the challenges of managing digital humanities data and the significance of the FAIR Data Principles.

Data Science Essentials

Covers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.

Introduction to Renku

Introduces Renku, a platform for collaborative data science, emphasizing reproducibility, shareability, reusability, and security.

Nexus Fusion: Collaborative Data Discovery

Covers Nexus Fusion, a platform for collaborative data and knowledge discovery, including data management, presentation, and searching.

Data Science Innovations: Insights, Challenges, and Future

Explores advancements in data science, focusing on fast insights, data variety, and real-time intelligent data systems.

Data Science in Personalized and Global Health: Privacy-Enhancing Technologies

Delves into data science in personalized and global health, emphasizing privacy-enhancing technologies and AI applications in healthcare.

Text Mining and Data Curation

Explores text mining, data curation, and brain connectivity in neuroscience.

Advanced Pandas Functions

Focuses on advanced pandas functions for data manipulation, exploration, and visualization with Python, emphasizing the importance of understanding and preparing data.

Introduction: organization and requirements

Covers course organization, spatial statistics, epidemiological data analysis, and group project work.

Data Science for Engineers: Part 2

Explores data manipulation, exploration, and visualization in data science projects using Python.

Data Art: Creating Artworks from Scientific Data

Explores creating art from scientific data, showcasing the fusion of creativity and scientific rigor.

Integrating Neuroscience Data with Blue Brain Nexus

Introduces the Blue Brain Nexus platform for integrating neuroscience data.

Publishing scientific articles & data

Explores the structure of scientific papers, emphasizing the importance of publishing texts and open data correctly.

Data Preparation for Machine Learning: Categorical and Numerical Data

Explores data preparation for machine learning, emphasizing categorical to numerical conversion and effective data visualization techniques.

Data Sources: Surveys and Techniques

Explores quantitative data sources, survey methods, and qualitative research techniques for comprehensive data collection in transportation planning.

Elements of Collaborative Data Science

Introduces collaborative data science tools like Jupyter notebooks, Docker, and Git, emphasizing data versioning and containerization.

Machine Learning Fundamentals

Covers the fundamental principles and methods of machine learning, including supervised and unsupervised learning techniques.