This workshop series will provide hands-on training in the basics of managing, documenting and visualizing your data. Come learn and enjoy free donuts!
All workshops will be held on Fridays at 10 a.m. the either the Fondren Collaboration Space or the DMC MPR (basement of Fondren Library). Each workshop stands alone, so sign up for as many as you like.
Manage Your Research Using Open Science Framework
Shannon Kipphut Smith
Friday, February 23
Fondren Collaboration Space
The Open Science Framework (OSF https://osf.io) is a free, open source web application designed to help researchers manage workflows. It is a tool that addresses challenges such as collaboration, version control, and data archiving, and connects to tools already used by many researchers, such as Dropbox, Box, Github, and Google Drive.
This workshop will provide an introduction to OSF and walk through setting-up and managing an OSF project.
Intro to Tableau
Friday, March 2
10-11:30 a.m. [Full]
Fondren Collaboration Space
Tableau is a fast rising and award-winning visualization software tool in Business Intelligence (BI) and Analytics Platforms. It helps people see and understand data. In this short course, we will cover the following topics:
- What is Tableau?
- What can Tableau do?
- Why is Tableau so successful in BI in recent years?
The hands-on part will cover how to use Tableau Public, the free version of the software. Specifically, we will use a small set of DMC equipment circulation data as an example. We will cover:
- how to load a data set
- how to create workbooks, charts and visualizations
- how to build a dashboard
- how to publish to the web, and more.
The Absolute Basics of Jupyter Notebooks
Friday, March 23
Fondren Collaboration Space
Every day, thousands (if not more) programmers, statisticians, data scientists, information professionals, and journalists use Jupyter Notebooks, an open-source web app that presents live code augmented with visualizations and narrative text. Jupyter Notebooks are perfect for teaching coding, or telling an unusual story aided by numbers and graphs. In this short course, we introduce the Juypter setting and present the rock-bottom basics of starting your first Notebook.
Intro to Effective Data Visualization
Friday, April 6
10 a.m.-11 a.m.
In this workshop we will review current research in visual perception and cognition and relate these concepts to best practices for data visualization. Participants will also have the opportunity to evaluate sample visualizations and apply what they learned during a hands-on visualization exercise.
These courses are not part of the Data and Donuts series but are relevant for those working with data.
DMC Short Courses
- 101 – Excel 101, Wednesday, February 14, 2018 – 10:00am to 11:00am
- 201 – Advanced Excel, Wednesday, March 7, 2018 – 10:00am to 11:30am
GIS Data Center Short Courses
- Introduction to GIS Data Management, Monday, February 5, 2018 – 5:00pm to 6:00pm or Tuesday, February 6, 2018 – 5:00pm to 6:00pm
General Data Management Workshops
- Cleaning Messy Data with Open Refine (on request– contact firstname.lastname@example.org)
One of the major components of research is collecting and understanding data. In the past, this was primarily a concern for the sciences, but as the so-called Information Age continues to produce vast amounts of knowledge, the ability to acquire, ‘clean’ and synthesize data becomes a necessity for researchers of all disciplines. This short course presents a beginner-level introduction to such techniques using Open Refine (formerly Google Refine), a powerful open-source tool for cleaning messy data.
- How to Manage Your Data (on request– contact email@example.com)
Drowning in data? Not sure how to organize and back it up? This hands-on, interactive workshop will share tips for effectively organizing, documenting and storing research data. Participants will walk away with ideas for completing a data management plan and storing/ backing up their own data.
- Writing an Effective Data Management Plan (on request– contact firstname.lastname@example.org)
Nearly all federal agencies now or will soon require grant applications to include data management plans (DMPs), and many grant panels are placing greater emphasis on these plans in evaluating proposals. How can you write a data management plan that will pass muster with funding agencies and will ensure that your datasets are easy to find, use, preserve and share? In this hands-on session, co-facilitated by representatives from the Office of Proposal Development and Fondren Library, participants will critique a few sample data management plans and identify elements of effective ones. We will also demonstrate the DMPTool (an online template for creating DMPs) and highlight some key data management resources at Rice.
We are also happy to provide customized training sessions for research groups and centers.
Online Training Materials
Claire Osgood (Kinder Institute’s Urban Data Platform team), Data Management Seminar (November 2017)
- Data Management Overview
- Data Management Architecture
- Data Management Processing
- Data Management Quality Assurance/Quality Control
- Data Management Audit Trail
- Data Management Documentation
- Data Management Resources
- CEHI Naming Conventions Guidance
- CEHI Statistical Analysis Guidelines
- Example Codebook 1
- Example Codebook 2
- Example Processing Document
- Program Checks
Data and Donuts Workshops, Fall 2017
- Organizing and Sharing Data [slides]
- Finding, Accessing and Citing Data [slides]
- Storing, Backing Up and Archiving Data [slides]
- Cleaning Data with Open Refine [workshop materials]
- Using Spreadsheets to Manage and Analyze Data [slides, handout]
- Data Management Essentials slides (pdf)
- How to Manage Your Data slides, June 2017 (pdf)
- Writing an Effective Data Management Plan slides, March 2016 (pdf)
- How to Succeed in Managing Research Data [aimed at graduate students, but broadly relevant], November 2015 (pdf)
Other Relevant Workshops
We also recommend these training resources:
- University of Minnesota Data Management Course
- Penn State Data Management Plan Tutorial
- DataOne Primer on Data Management
- New England Collaborative Data Management Curriculum
Request a Workshop
To request additional workshops or consultation services, please contact email@example.com.