Data Storage 102: Time-Saving Data Organization Strategies
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Data Storage 102: Time-Saving Data Organization Strategies

Par Northwestern IT Research Computing & Data Services
Événement en ligne
15 octobre à 15 UTC
Aperçu

Discover how to effectively organize research data for efficient and repeatable workflows, following best practices.

Once you’ve decided where to store your data, the next step is organizing it in a way that supports efficient, repeatable research workflows. This second session in the Data Storage series focuses on strategies to keep your data tidy, accessible, and ready for analysis, collaboration, and publication.

You’ll learn best practices for naming files and folders, creating directory structures, using metadata effectively, and maintaining version control. We'll also discuss tools and techniques to help automate organization and reduce time spent managing your data manually.

Whether you're working solo or as part of a team, this session will help you streamline your research process and reduce the headaches that come from disorganized or hard-to-find files.

Prerequisite: None.

Discover how to effectively organize research data for efficient and repeatable workflows, following best practices.

Once you’ve decided where to store your data, the next step is organizing it in a way that supports efficient, repeatable research workflows. This second session in the Data Storage series focuses on strategies to keep your data tidy, accessible, and ready for analysis, collaboration, and publication.

You’ll learn best practices for naming files and folders, creating directory structures, using metadata effectively, and maintaining version control. We'll also discuss tools and techniques to help automate organization and reduce time spent managing your data manually.

Whether you're working solo or as part of a team, this session will help you streamline your research process and reduce the headaches that come from disorganized or hard-to-find files.

Prerequisite: None.

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Northwestern IT Research Computing & Data Services
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