Recently UC Libraries and the Graduate School hosted the Center for Open Science for two workshops on research reproducibility. The Center for Open Science, a non-for-profit based in Charlotteville, Va. promotes openess, integrity and transparency in research. Ian Sullivan of the COS facilitied the workshop and worked with researchers to address several types of repoducibility issues in research- Computational, Methodological and Results replicability.
Computational reproducibility means that given the data and code/analysis methods used, someone else could reproduce the graphs and calculations in your paper or report. Methodological reproducibility means that someone else could follow your protocols and rerun the experperiment or research again and get the same results as you did. And results replicability means that with new data and using your methods and analysis, someone else can come to the same conclusion as you did.
Matthew Zook PhD is Professor of Economic Geography at University of Kentucky. His research focuses on how the geoweb is produced (particularly the practices surrounding user-generated data) in order to better understand where, when, and by whom geo-coded content is being created. He is a well published researcher and a contributor to the research blog FloatingSheep.
Questions? E-mail Amy Koshoffer, science informationist, at ASKGIS@UC.EDU for more information.
On Nov 4th, The Red Cross will hold a Missing Maps Mapathon at UC Libraries in 475 Langsam from 10 am to 2 pm. The information collected from a Mapathon helps the Red Cross identify the best locations to bring in emergency supplies, where to house emergency operations and what local resources they can collaborate with in emergency response efforts. In order to participate, you do not need extensive mapping experience. The maps are creating using the Open Street Map platform and you can learn quickly by watching a training video.
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
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.
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.