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  • Data Management Workshop, University of Wyoming ARCC, Fall 2024

  • Conductivity, temperature and depth data for 12 northwestern Gulf of Mexico locations, May to July 2012

  • SAFARI 2000 Upper Water Column Profiles, Gulf of Alaska, 2011-2012

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Project Naming on ARCC Systems

While the project names above are very descriptive and something to record in a README file, ARCC systems have restrictions on how the type of characters and how many can be used in a project name. This is due to how permissions work on the system and very long project names with spaces or other special characters can cause problems with the administration of the system.

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Info

Avoid complex, deeply-hierarchical folder structures, which require extra browsing for file storage and retrieval. Try to keep the folder levels to no more than three deep. Folder structures can be simplified by including all the essential information concisely in the file name.

Note

With the above stated, there are situations where the technical issues can arise if there are too many files within a single directory. Hundreds of files in a directory is usually fine, multiple thousands of files in a directory could become problematic.

The following best practices are recommended for creating an effective project folder structure:

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Granularity Examples

  • Project: Sea Monkey Forage Studydata-mgmt-arcc24

    • Parent folder: Prey DataResearchData_Location1_05012024

      • Child folder: 2017images

        • Users can create subfolders within as needed

      • Child folder: 2018samples

        • Users can create subfolders within as needed

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Poor folder names:

  • My DataMy Folder

  • Data From Ben

Better folder names:

  • Processed herring acoustic summaries, 2012-2016

  • Raw herring acoustic data, 2012GPS-locations-sagebrush-study-2021

  • Raw-songbird-acoustic-data2012-2016

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Data Value and Storage

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Intro to Data Management with ARCC

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File Naming Conventions