Recent Submissions

  • Collaborative concession in food movement networks : the uneven relations of resource mobilization 

    Contributor:Sbicca, Joshua; Luxton, India; Hale, James; Roeser, Kassandra
    Date Issued:2019-05-21
    How do food movements prioritize and work to accomplish their varied and often conflicting social change goals at the city scale? Our study investigates the Denver food movement with a mixed methods social network analysis ...
  • Data cleaning using OpenRefine 

    Contributor:Magle, C. Tobin
    Date:2018-02-13
    The process of generating data can be messy, especially when data are hand collected by multiple people. This month's Data and Donuts will discuss how to wrangle messy tabular data using OpenRefine (http://openrefine.org/), ...
  • Data cleaning using OpenRefine 

    Contributor:Magle, C. Tobin
    Date:2017-03-28
    The process of generating data can be messy, especially when data are hand collected by multiple people. This month's Data and Donuts will discuss how to wrangle messy tabular data using OpenRefine (http://openrefine.org/), ...
  • Collaborative data management using the Open Science Framework 

    Contributor:Magle, C. Tobin
    Date:2017-10-31
    Our access to the web makes collaborating with colleagues at other institutions easier, but it is not without its challenges. In this Data and Donuts, we will cover a tool. After this session you’ll be able to how to to ...
  • Reproducible research 

    Contributor:Magle, C. Tobin
    Date:2017-06-26
    What is reproducible research? Why should you adopt it? How to use R, git and markdown to make your analysis more efficient and reproducible.
  • Impact of data management, The 

    Contributor:Magle, C. Tobin
    Date:2016-09-29
    Good data management practices are becoming increasingly important in the digital age. Because we now have the technology to freely share research data and also because funding agencies want to do more with decreasing ...
  • Data organization 

    Contributor:Magle, C. Tobin
    Date:2017-02-28
    One element of good data management is knowing what you have and where it is. This month's Data and Donuts will discuss best practices for data organization. The session will discuss topics like efficient folder structures, ...
  • How to write a data management plan 

    Contributor:Magle, C. Tobin
    Date:2016-09-29
    This presentation describes best practices for how to write a data management plan for your research data. Additionally, it provides information about finding funder requirements, metadata standards, and repositories.
  • Data organization 

    Contributor:Magle, C. Tobin
    Date:2016-10-12
    One element of good data management is knowing what you have and where it is. This month's Data and Donuts will discuss best practices for data organization. The session will discuss topics like efficient folder structures, ...
  • Data organization in spreadsheets 

    Contributor:Magle, C. Tobin
    Date:2017-11-28
    One element of good data management is knowing what you have and where it is. This month's Data and Donuts will discuss best practices for data organization. The session will discuss how to organize tabular data within ...
  • Data visualization using R 

    Contributor:Magle, C. Tobin
    Date:2017-05-16
    So you've taken the R basics session and you're ready to make publication quality graphs using R. This month's Data and Donuts will show you how to use the ggplot package in R. After this session, you will be able to create ...
  • Data archiving and sharing 

    Contributor:Magle, C. Tobin
    Date:2017-07-25
    This month's Data and Donuts will cover best practices for preparing your data for archiving. We will discuss how to properly describe your data so that others, or you from 5 years from now, will know what it is and how ...
  • Data wrangling using dplyr 

    Contributor:Magle, C. Tobin
    Date:undated
    What you can do with your data depends strongly on how its formatted. This month's coding and cookies will cover how to manipulate datasets using an R package called dplyr. After this session, you will be able to subset, ...
  • Data visualization using R 

    Contributor:Magle, C. Tobin
    Date:2018-02-15
    So you're familiar with R, but want to do more with your plots than the base graphics package. This month's Coding and Cookies will show you how to use the ggplot2 package in R. After this session, you will be able to ...
  • Data wrangling in R 

    Contributor:Magle, C. Tobin
    Date:2017-11-30
    What you can do with your data depends strongly on how its formatted. This month's coding and cookies will cover how to manipulate datasets using an R package called dplyr. After this session, you will be able to subset, ...
  • Data cleaning using R 

    Contributor:Magle, C. Tobin
    Date:2017-11-02
    The process of generating data can be messy, especially when data are hand collected by multiple people. This month's Coding and Cookies will discuss how to wrangle messy tabular data using R. After this session, you will ...
  • Basic data analysis using R 

    Contributor:Magle, C. Tobin
    Date:2017-04-25
    Learning how to code can be intimidating, but will save you time and effort in the long run. This month's Data and Donuts will cover basic analysis of tabular data in R studio. By the end of this session, you will be able ...
  • Ten years and counting : preserving and sharing Colorado's agricultural history online 

    Contributor:Watson, Renae, J.; Level, Allison V.; Oehlerts, Beth
    Date:2018
    Colorado State University Libraries (CSUL) supports the preservation of agricultural history, as evidenced by their participation in the Preserving the History of United States Agriculture and Rural Life: State and Local ...
  • Preserving the source, issue 49 

    Contributor:Rettig, Patricia J.; Colorado State University. Archives and Special Collections. Water Resources Archive
    Date:2018-12
  • Stay connected, issue 30, Spring 2019 

    Contributor:Colorado State University. Libraries
    Date:2019

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