Data Carpentry @ Tufts

Tufts University, Ginn Library & Hirsh Library

Mar 30-31, Apr 1, 2022

10:00am - 1:00pm EDT

Instructors: Andrea Kang, Rebecca Morin, Berika Williams

Helpers: Kristin Lee

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General Information

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Open to all, including learners who have little to no prior computational experience. Lessons build on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to work together and share experiences, with an eye toward applying what they have learned to their own research problems.

For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".

Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: Online. Get directions with OpenStreetMap or Google Maps.

When: Mar 30-31, Apr 1, 2022. Add to your Google Calendar.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).

Accessibility: We are committed to making this workshop accessible to everybody. For workshops at a physical location, the workshop organizers have checked that:

Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.

Contact: Please email andrea.kang@tufts.edu for more information.

Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.


Code of Conduct

Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.


Surveys

Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey


Schedule

Day 1

Before starting Pre-workshop survey
9am - 10am Setup Drop in
10am - 11:25am Data Organization in Spreadsheets
11:25am - 11:35amBreak
11:35am - 1:00pmOpenRefine for Data Cleaning

Day 2

9am - 10am Setup Drop in
10am - 1pm Introduction to R

Day 3

10am - 1pm Continuation of R: Starting with Data
After workshop Post-workshop survey

Setup

To participate in a Data Carpentry workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.

We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.

Data Download Instructions

You can download all of the data used in this workshop by clicking this download link. The file is 206 KB.

Clicking the download link will automatically download all of the files to your default download directory as a single compressed (.zip) file. To expand this file, double click the folder icon in your file navigator application (for Macs, this is the Finder application).

For a full description of the data used in this workshop see the data page.

Software Install Instructions

The full setup instructions for the Data Carpentry Social Sciences workshops (with R) can be found at the workshop overview site. Please note: We will NOT be discussing SQLlite Browser in this workshop, so there is no need to install it.

Software Install Manual Available for Description
Spreadsheet program
(Excel or LibreOffice)
Link Link Linux, MacOS, Windows Spreadsheet program for organizing tabular data.
OpenRefine Link Link Linux, MacOS, Windows Tool for cleaning and transforming data.
R View these install instructions. Linux, MacOS, Windows R programming language.
RStudio Link Cheatsheet Linux, MacOS, Windows Integrated Development Envirornment (IDE) for R.

The setup instructions for the Data Carpentry Social Sciences workshops (with R) can be found at the workshop overview site.