UC Libraries and The Graduate School are pleased to host theCenter for Open Science for a workshop on Increasing Openness and Reproducibility in Quantitative Research on October 25, 2017. The workshop will cover project documentation, version control, pre-analysis plans and the Open Science Framework. There will be two sessions of the workshop, one on East campus and one on the West campus. The event is free and open to all. To register, visit https://goo.gl/Hf5neh. Participants are asked to bring their own device for best workshop experience.
Questions? Please email Amy Koshoffer at ASKDATA@UC.EDUfor more information.
Date: October 25, 2017
Time: 9am – 12pm
Location: East Campus – Troup Learning Space – MSB G005G
UC Libraries is pleased to offer a new data science workshop this fall on OpenRefine. Join us in 850D Baldwin Hall (CEAS Library classroom) on Tuesday, October 31 from 10:00am – 12:00pm. Register here (Central Login required).
OpenRefine, http://openrefine.org, is a free, powerful, and easy-to-use tool for cleaning up and transforming datasets in order to prepare them for analysis and sharing. In this workshop, you will learn how to leverage OpenRefine’s interface and scripting language for basic data exploration and bulk transformations. No prior knowledge necessary. Please bring your own laptop for the hands-on exercises.
Contact Ted Baldwin with questions, Ted.Baldwin@uc.edu .
The Ohio Supercomputer Center will offer two workshops on its resources and how to use them Tuesday, October 10, on both East and West campuses.
IT@UC Research & Development will be hosting the Ohio Supercomputer Center for two workshops on Tuesday, October 10. The morning workshop will provide an introduction to the Ohio Supercomputer Center resources and how to use them. In the afternoon, the workshop will cover Big Data Analytics and Spark.
UC Libraries will be closed Monday, September 4 for Labor Day, except for the Donald C. Harrison Health Sciences Library, which will be open 9am-5pm. This closing includes the Langsam Library 4th floor space, which will close Sunday, September 3 at 11pm and re-open Tuesday, September 5 at 7:45am.
GIS stands for Geographic Information Systems. GIS has applications for both teaching and research across many disciplines.
Do you need to visualize your spatial data but don’t know how? Do you have spatial data but don’t know how to map it? Are you looking for guidance or have expertise to share regarding the analysis of spatial data? Are you an ArcGIS, Q-GIS or other GIS program user and want to connect with other people who use these programs? Are you simply curious about GIS and want to learn more?
The GIS Learning Community can help you address these and other questions. The goal of the community is to be a user-driven forum for novice and expert practitioners to come together and discuss tools, resources, projects and solutions surrounding the spatial aspects of their data. We invite interested individuals across all of UC to join us in building this community. The community is open to All Faculty, Staff and Students, as well as interested parties from outside of UC. Please share with your colleagues and students.
If you are interested in the GIS Learning Community and are not able to come to the first meeting, RSVP or email ASKGIS@UC.Edu to be added to the GIS LC email list. Future invites will go to the GIS LC email list only.
The major focus of UC Data Day is to build community around best practices for data and to provide a forum for discussion about challenges and opportunities in data management, data sharing, reproducible research and preservation.
At the first UC Data Day held in 2016, faculty panelists began the conversation and highlighted the diverse and broad approaches to these challenges. For the second UC Data Day, we wanted to include a student voice as well.
Today’s LYD post is by Don P. Jason III, MLIS, MS, Clinical Informationist based at the Donald C. Harrison Health Sciences Library.
Welcome to Day 4 of “Love Your Data Week!” Whether you’re a student analyzing a data set for a school project or a researcher combining data sets to create new insights, finding the right data is essential! This blog post will list a few places you can look to find free, authoritative and unique data sets. The data sets have be broken down into three categories: US Government Data Sets, International Data Sets and Google Data Sets.
US Government Data Sets
Data.gov http://data.gov – This web site has an eclectic mix of datasets from criminal justice to climate data. This government site encourages people to use the data to create web and mobile applications and design data visualizations.
US Census Bureauhttp://www.census.gov/data.html – This web site provides data on the US population and economy. Utilizing this site’s data has never been easier thanks to new: API’s, data visualizations, mobile apps and interactive web apps.
Healthdata.govhttps://www.healthdata.gov/ – This web site includes US healthcare data. The site is dedicated to making high value health data more accessible to entrepreneurs, researchers and policy makers.