Research data management

Cours pratiques de gestion des données

Cours signalées avec « Research data management »

Using version control for your scripts, codes, documents, papers, and even data, allows you to track changes, keep backups, and facilitate collaboration.  In this workshop, you will learn the basics of version control with the popular distributed version control software GIT. This workshop assumes that students have an understanding of basic Linux shell commands.

Format: Virtual

Enseignant: James Willis
Catégorie: Data Science
Date: : mer., 6 nov. 2024 - 1:00 pm
Nombre de crédits - science des données: 3

Managing large amounts of data can be a challenging task. Processing large numbers of files incur heavy overhead of IO communications. This course explores several options such as using Apptainer Overlay and SQLite to pack and reduce a large number of files to few files, and hence, improving IO performance. Python scripts are used throughout the course.

Format: Virtual

Enseignant: Ching-Hsing Yu
Catégorie: Data Science
Date: : lun., 15 janv. 2024 - 1:00 pm
Nombre de crédits - science des données: 3

Using version control for your scripts, codes, documents, papers, and even data, allows you to track changes, keep backups, and facilitate collaboration.  In this workshop, you will learn the basics of version control with the popular distributed version control software GIT. This workshop assumes that students have an understanding of basic Linux shell commands.

Format: Virtual

Enseignant: James Willis
Catégorie: Data Science
Date: : lun., 20 nov. 2023 - 1:00 pm
Nombre de crédits - science des données: 3

Using version control for your scripts, codes, documents, papers, and even data, allows you to track changes, keep backups, and facilitate collaboration.  In this workshop, you will learn the basics of version control with the popular distributed version control software GIT. This workshop assumes that students have an understanding of basic Linux shell commands.
Format: In-person, but also will be broadcast and recorded.

Enseignant: James Willis
Catégorie: Data Science
Date: : lun., 21 nov. 2022 - 1:00 pm
Nombre de crédits - science des données: 3

Managing large amounts of data can be a challenging task. Processing large numbers of files incur heavy overhead of IO communications. This course explores several options such as using Apptainer Overlay and SQLite to pack and reduce a large number of files to few files, and hence, improving IO performance. Python scripts are used throughout the course.

Format: On-line (Zoom).

Enseignant: Ching-Hsing Yu
Catégorie: Data Science
Date: : lun., 28 nov. 2022 - 1:00 pm
Nombre de crédits - science des données: 3

Using version control for your scripts, codes, documents, papers, and even data, allows you to track changes, keep backups, and facilitate collaboration.  In this workshop, you will learn the basics of version control with the popular distributed version control software GIT. This workshop assumes that students have an understanding of basic Linux shell commands.

Enseignant: James Willis
Catégorie: Data Science
Date: : mar., 15 mars 2022 - 1:00 pm
Nombre de crédits - science des données: 3
Introductory workshop to get started in the usage of version control GIT. This workshop is held in collaboration with UofT-Libraries.
Catégorie: Data Science
Date: : ven., 4 oct. 2019 - 1:00 pm
Learn how to pinpoint and alleviate bottlenecks in large data-driven research projects. Techniques such as tar, compression, ramdisk, and file format options will be covered.
Catégorie: Data Science
Date: : mer., 17 mai 2017 - 10:00 am
Nombre de crédits - calcul scientifique: 2
Nombre de crédits - science des données: 6
Learn how to pinpoint and alleviate bottlenecks in large data-driven research projects. Techniques such as tar, compression, ramdisk, file format options, and job scheduling techniques will be covered.
Enseignant: SciNet Team
Catégorie: Data Science
Date: : mer., 21 sept. 2016 - 9:30 am
Trends and tools in research data management.
Catégorie: Data Science
Date: : mer., 25 mai 2016 - 1:30 pm
Nombre de crédits - calcul scientifique: 1
Nombre de crédits - science des données: 3
Learn how to pinpoint and alleviate bottlenecks in large data-driven research projects. Techniques such as tar, compression, ramdisk, file format options, and job scheduling techniques will be covered.
Enseignant: Ramses van Zon
Catégorie: Data Science
Date: : mer., 20 avril 2016 - 9:30 am