Events

Workshop for Increasing Openness and Reproducibility in Quantitative Research

Instructor: Dr. Courtney Soderberg, Center for Open Science
Date: Monday, January 23rd, 2017
Time: 1pm – 4pm
Location: Kyle Morrow Room, 3rd floor, Fondren Library

There are many actions researchers can take to increase the openness and reproducibility of their work. Please join us for a free workshop, hosted by the Center for Open Science, to learn easy, practical steps researchers can take to increase the reproducibility of their work. The workshop will be hands-on. Using example studies, attendees will actively participate in creating a reproducible project from start to finish. This workshop is open to faculty, graduate students and staff from Houston-area institutions. Registration is required, and you must bring your own laptop (please get in touch if you don’t have access to a laptop).

Refreshments will be served.

Register

See flyer for more details.

Gulf Coast Consortium (GCC) Rigor and Reproducibility Workshop

January 18, 2017
10:00 am – 2:45 pm

Registration

This interactive workshop, with organizers and/or discussion facilitators from all GCC institutions, will cover topics including Experimental Design (basic science, population science, and big data science), Analysis and Statistics, Data Management, and Publication and Reporting. Students and postdocs are encouraged to attend, and all are welcome. A certificate of completion will be provided. Workshop is free. Lunch and coffee will be provided.

Questions? Contact Suzanne Tomlinson.

Love Your Data Week

How to Manage Your Data
Thursday, February 16, 2017 -10:00am to 11:30am
Digital Media Commons Multi Purpose Room, basement of Fondren Library

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 inventory and data storage/ backup plan for their own data, as well as tips for writing data management plans (as required by many grant agencies).
Register here

PAST EVENTS

Data Week 2016

data (scrabble), by justgrimes
data (scrabble), by justgrimes

Explore how data scientists manage their data, get tips on the basics of data management, and learn how to clean your data using the free tool Open Refine. Rice Data Week aims to raise awareness of the importance of data management to research and equip Rice researchers with practical ideas about how to manage their own data.

Events

Cleaning Messy Data with Open Refine
Wednesday, October 19, 2016
2:00pm to 3:00pm
Fondren Library Basement B43A

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.
Register here

Data Curation in the Age of Data Science

Carlos Monroy, Ph.D.
Wednesday, October 19, 2016
4:00-5:00 p.m.
Humanities 119

Carlos Monroy is a Research Scientist with the Department of Computer Science at Rice University, working with Dr. Chris Jermaine’s Data Intensive Systems Group. Throughout his career, he has been interested in “sense making,” more specifically in the synergies between computing and socio-technical approaches for advancing discovery. Presently he is part of a multi-institutional research project (The Pliny Project) that aims at storing, curating and analyzing large amounts of programming code (Big Code) in order to improve software quality, productivity and security. He also works on what he calls Learninformatics (term coined during the NSF Big Data Ideas Lab Oct 2013), which can be defined as: An interdisciplinary approach to develop and improve methods for storing, curating, organizing and analyzing learning data.

Previously, as Data Scientist for STEMscopes™, his work focused on learning analytics and the big data generated by nearly half a million students and over 50,000 teachers that used STEMScopes™ an on-line science curriculum. For more than fifteen years, he has worked on numerous interdisciplinary collaborations with domain experts in various disciplines such as education, linguistics, art history and nautical archaeology. Prior to joining Rice University, his research at the Center for the Study of Digital Libraries at Texas A&M contributed to the creation and development of various digital repositories related to literature collections, art history (Pablo Picasso) and maritime archaeology, including a multilingual retrieval system for improving ship reconstruction. His interests include data and text mining, information retrieval and visualization, digital humanities, and socio-technical systems. Carlos received his B.S. from Universidad Rafael Landívar (Guatemala), followed by masters and Ph.D. degrees from Texas A&M University, all in Computer Science.

How to Manage Your Data
Thursday, October 20, 2016 -10:00am to 11:30am
Fondren Library Basement Collaboration Space, B43A

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 inventory and data storage/ backup plan for their own data, as well as tips for writing data management plans (as required by many grant agencies).
Register here