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Merge pull request #1 from michaelcoe/main
Adding FAIR and CARE content
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‎config.yaml

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#------------------------------------------------------------
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# Values for this lesson.
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#------------------------------------------------------------
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# Which carpentry is this (swc, dc, lc, or cp)?
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# swc: Software Carpentry
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# dc: Data Carpentry
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# lc: Library Carpentry
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# cp: Carpentries (to use for instructor training for instance)
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# incubator: The Carpentries Incubator
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# Note that you can also use a custom carpentry type. For more info,
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# see the documentation: https://carpentries.github.io/sandpaper-docs/editing.html
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carpentry: 'incubator'
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# Custom carpentry description
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# This will be used as the alt text for the logo
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# carpentry_description: "Custom Carpentry"
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# Overall title for pages.
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title: 'Data Handling and Management Training'
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# Date the lesson was created (YYYY-MM-DD, this is empty by default)
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created:
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# Comma-separated list of keywords for the lesson
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keywords: 'data management, data, lesson, The Carpentries'
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# Life cycle stage of the lesson
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# possible values: pre-alpha, alpha, beta, stable
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life_cycle: 'beta'
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# License of the lesson materials (recommended CC-BY 4.0)
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license: 'CC-BY 4.0'
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# Link to the source repository for this lesson
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source: 'https://github.com/michaelcoe/Data-Management-Training.git'
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# Default branch of your lesson
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branch: 'main'
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# Who to contact if there are any issues
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contact: '[email protected]'
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# Navigation ------------------------------------------------
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#
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# Use the following menu items to specify the order of
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# individual pages in each dropdown section. Leave blank to
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# include all pages in the folder.
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#
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# Example -------------
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#
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# episodes:
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# - introduction.md
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# - first-steps.md
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#
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# learners:
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# - setup.md
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#
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# instructors:
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# - instructor-notes.md
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#
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# profiles:
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# - one-learner.md
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# - another-learner.md
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# Order of episodes in your lesson
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episodes:
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- 01-project-level-readme.Rmd
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- 02-dataset-readme-data-dictionary.Rmd
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- 03-file-organization-naming.Rmd
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- 04-data-storage.Rmd
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- 05-data-management.Rmd
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- 06-data-sharing.Rmd
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- 07-project-wrap-up.Rmd
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# Information for Learners
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learners:
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# Information for Instructors
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instructors:
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# Learner Profiles
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profiles:
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# Customisation ---------------------------------------------
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#
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# This space below is where custom yaml items (e.g. pinning
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# sandpaper and varnish versions) should live
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carpentry_description: This lesson serves as a primer for research data management
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and handling.
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#------------------------------------------------------------
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# Values for this lesson.
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#------------------------------------------------------------
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# Which carpentry is this (swc, dc, lc, or cp)?
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# swc: Software Carpentry
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# dc: Data Carpentry
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# lc: Library Carpentry
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# cp: Carpentries (to use for instructor training for instance)
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# incubator: The Carpentries Incubator
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# Note that you can also use a custom carpentry type. For more info,
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# see the documentation: https://carpentries.github.io/sandpaper-docs/editing.html
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carpentry: 'incubator'
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# Custom carpentry description
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# This will be used as the alt text for the logo
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# carpentry_description: "Custom Carpentry"
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# Overall title for pages.
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title: 'Data Handling and Management Training'
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# Date the lesson was created (YYYY-MM-DD, this is empty by default)
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created:
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# Comma-separated list of keywords for the lesson
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keywords: 'data management, data, lesson, The Carpentries'
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# Life cycle stage of the lesson
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# possible values: pre-alpha, alpha, beta, stable
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life_cycle: 'beta'
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# License of the lesson materials (recommended CC-BY 4.0)
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license: 'CC-BY 4.0'
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# Link to the source repository for this lesson
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source: 'https://github.com/michaelcoe/Data-Management-Training.git'
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# Default branch of your lesson
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branch: 'main'
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# Who to contact if there are any issues
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contact: '[email protected]'
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# Navigation ------------------------------------------------
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#
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# Use the following menu items to specify the order of
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# individual pages in each dropdown section. Leave blank to
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# include all pages in the folder.
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#
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# Example -------------
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#
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# episodes:
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# - introduction.md
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# - first-steps.md
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#
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# learners:
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# - setup.md
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#
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# instructors:
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# - instructor-notes.md
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#
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# profiles:
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# - one-learner.md
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# - another-learner.md
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# Order of episodes in your lesson
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episodes:
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- 01-project-level-readme.Rmd
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- 02-dataset-readme-data-dictionary.Rmd
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- 03-file-organization-naming.Rmd
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- 04-data-storage.Rmd
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- 05-data-management.Rmd
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- 06-data-sharing.Rmd
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- 07-fair-and-care.Rmd
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- 08-project-wrap-up.Rmd
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# Information for Learners
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learners:
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# Information for Instructors
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instructors:
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# Learner Profiles
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profiles:
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# Customisation ---------------------------------------------
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#
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# This space below is where custom yaml items (e.g. pinning
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# sandpaper and varnish versions) should live
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carpentry_description: This lesson serves as a primer for research data management
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and handling.

‎data-management-training.Rproj

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Version: 1.0
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RestoreWorkspace: No
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SaveWorkspace: No
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AlwaysSaveHistory: Default
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EnableCodeIndexing: Yes
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UseSpacesForTab: Yes
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NumSpacesForTab: 2
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Encoding: UTF-8
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RnwWeave: Sweave
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LaTeX: pdfLaTeX
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AutoAppendNewline: Yes
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StripTrailingWhitespace: Yes
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LineEndingConversion: Posix
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BuildType: Website
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Version: 1.0
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RestoreWorkspace: No
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SaveWorkspace: No
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AlwaysSaveHistory: Default
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EnableCodeIndexing: Yes
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UseSpacesForTab: Yes
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NumSpacesForTab: 2
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Encoding: UTF-8
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RnwWeave: Sweave
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LaTeX: pdfLaTeX
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AutoAppendNewline: Yes
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StripTrailingWhitespace: Yes
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LineEndingConversion: Posix
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BuildType: Website

‎episodes/00-introduction.Rmd

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---
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title: 'Research Data Management'
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teaching: 10
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exercises: 0
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---
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:::::::::::::::::::::::::::::::::::::: questions
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- What should I do for proper Research Data Management?
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::::::::::::::::::::::::::::::::::::::::::::::::
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::::::::::::::::::::::::::::::::::::: objectives
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- Learn what is involved with Research Data Management
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- Build a checklist of things that should be done to handle Research Data
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::::::::::::::::::::::::::::::::::::::::::::::::
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## What is Research Data Management (RDM)
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RDM involves practices and choices that simplify the process of finding, comprehending,
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and utilizing research data for you, your collaborators, and your future self. These
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practices encompass the entire data lifecycle, from collection and analysis to sharing
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and reuse. Research is hard enough as it is without having to
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fight with your files, so the goal of data management is for you to maximize
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your time doing research instead of spending extra time with file handling.
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:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: instructor
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Emphasize that proper Research Data Management is a way to make dealing with data
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a better experience. It allows for understanding your data even after comming back
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to it after a long period of time.
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::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
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## Why do RDM
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Most researchers have spent time, at some point in their careers, digging through
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their computer to find a specific file that can’t be located. It’s incredibly frustrating
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and a waste of time and resources, especially if you end up recollecting
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missing data. The good news is that it is possible to avoid this situation entirely
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by strategically managing your data better.
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Done well, RDM means:
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- Understanding of data and its collection methods, even after a year
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- Quick and easy retrieval of desired files
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- Prevention of data loss, even if your hard drive crashes
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- Clarity around the rights and responsibilities you have over your data
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- Knowledge of how and where to share your data to comply with your funder’s
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data sharing policy
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- Ability to pick up and easily reuse data from a past project
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::::::::::::::::::::::::::::::::::::: keypoints
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- RDM is really about helping researchers understand their data
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- RDM helps researchers keep their data safe and backed up
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- RDM helps researchers use their data even after leaving it for a long period
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- RDM allows you to more easily share your research data
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::::::::::::::::::::::::::::::::::::::::::::::::
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---
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title: 'Research Data Management'
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teaching: 10
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exercises: 0
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---
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:::::::::::::::::::::::::::::::::::::: questions
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- What should I do for proper Research Data Management?
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::::::::::::::::::::::::::::::::::::::::::::::::
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::::::::::::::::::::::::::::::::::::: objectives
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- Learn what is involved with Research Data Management
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- Build a checklist of things that should be done to handle Research Data
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18+
::::::::::::::::::::::::::::::::::::::::::::::::
19+
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## What is Research Data Management (RDM)
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RDM involves practices and choices that simplify the process of finding, comprehending,
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and utilizing research data for you, your collaborators, and your future self. These
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practices encompass the entire data life cycle, from collection and analysis to sharing
25+
and reuse. Research is hard enough as it is without having to
26+
fight with your files, so the goal of data management is for you to maximize
27+
your time doing research instead of spending extra time with file handling.
28+
29+
:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: instructor
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31+
Emphasize that proper Research Data Management is a way to make dealing with data
32+
a better experience. It allows for understanding your data even after comming back
33+
to it after a long period of time.
34+
35+
::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
36+
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## Why do RDM
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Most researchers have spent time, at some point in their careers, digging through
40+
their computer to find a specific file that can’t be located. It’s incredibly frustrating
41+
and a waste of time and resources, especially if you end up recollecting
42+
missing data. The good news is that it is possible to avoid this situation entirely
43+
by strategically managing your data better.
44+
45+
Done well, RDM means:
46+
47+
- Understanding of data and its collection methods, even after a year
48+
- Quick and easy retrieval of desired files
49+
- Prevention of data loss, even if your hard drive crashes
50+
- Clarity around the rights and responsibilities you have over your data
51+
- Knowledge of how and where to share your data to comply with your funder’s
52+
data sharing policy
53+
- Ability to pick up and easily reuse data from a past project
54+
55+
::::::::::::::::::::::::::::::::::::: keypoints
56+
57+
- RDM is really about helping researchers understand their data
58+
- RDM helps researchers keep their data safe and backed up
59+
- RDM helps researchers use their data even after leaving it for a long period
60+
- RDM allows you to more easily share your research data
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62+
::::::::::::::::::::::::::::::::::::::::::::::::
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