Data & Donuts
Data management made tasty.
All sessions are held 10:00 a.m. – 11:30 a.m. at Morgan Library, Computer Classroom 175
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 research funds, many funding agencies and journals require authors and grantees to share their research data.
Sessions are free, but space is limited to 30 attendees.
Got your eID ready? Register for Data & Donuts.
Fall 2017 Sessions
Tue., Oct. 31 – Collaborative Data Management Using OSF
Our access to the web makes collaborating with colleagues at other institutions easier, but it is not without its challenges. We’ll cover OSF, a collaborative tool. After this session you’ll be able to store files, easily collaborate with people outside your institution, and link accounts like Google Drive and Dropbox.
Tue., Nov. 28 – Data Organization in Spreadsheets
One element of good data management is knowing what you have and where it is. We’ll discuss best practices for data organization, including how to organize tabular data within spreadsheets.
Spring 2018 Sessions
Tue., Feb. 13 – Data Cleaning Using OpenRefine
The process of generating data can be messy, especially when data are hand collected by multiple people. We’ll discuss how to wrangle messy tabular data using Open Refine, a free, open source tool for working with messy data. We’ll discuss the concepts of faceting, clustering, and splitting data. You’ll also learn how to export scripts to help you automate the cleaning process.
Tue., Mar. 13 – Reproducible Research
Properly documenting your research practices can be a challenge, especially when everything is digital. In this session, we’ll cover best practices for conducting reproducible research using the open science framework.
Tue., Apr. 17 – Data Archiving and Sharing
The last session 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 to use it, as well as appropriate places to store it. We’ll also discuss options for repositories that will allow others to access your research data, including CSU’s digital repository.