Welcome to the OHSU Library Data Science Institute!
November 6-8, 2017
Tell Me More

What is the Data Science Institute?

The OHSU Library Data Science Institute aims to bring together researchers, librarians, and information specialists for formal training on key topics in data science. The program will be offered as a three-day workshop from November 6-8, 2017 at the White Stag Building, located at 70 NW Couch Street in Portland, Oregon. The learning objectives for the training are:


Increase skills

Increase awareness of key skills in data science and how these can be applied to the participant’s own daily practices.

Increase confidence

Increase confidence with using data science techniques

Application

Increase the ability of participants to use or apply data science techniques in problems outlined in the course

Schedule

All sessions will be held at the White Stag Building, located at 70 NW Couch Street, Portland

Day 1 Monday November 6
Time Topic Instructor(s)
9-10AM Registration and Welcome DSI organizers
10-11:30AM Introduction to the Command Line, Version Control with Git and Github Asia Mitchell and Eleonora Juarez
11:30-1PM LUNCH Lunch on your own
1-2:30PM Data Exploration and Statistics, Part 1 Ted Laderas and Jessica Minnier
2:30-2:45PM BREAK
2:45-4PM Data Exploration and Statistics, Part 2 Ted Laderas and Jessica Minnier
4-5PM Optional: Stencila demonstation and discussion Nokome Bentley and Danielle Robinson
Evening No Host Dine Around | Click here for suggested restaurants
Day 2 Tuesday November 7
Time Topic Instructor(s)
10-10:45AM Data Description Letisha Wyatt, Robin Champieux, and Nicole Vasilevsky
10:45-11AM BREAK
11-12:15PM Data Standards Lilly Winfree
12:15-1:45PM LUNCH Lunch on your own
1:45-3PM Data Sharing and Reuse Letisha Wyatt, Robin Champieux, and Nicole Vasilevsky
3-3:15PM BREAK
3:15-5PM Mixed Study Methods: How Qualitative and Quantitative Data Inform Each Other Patty Carney
Day 3 Wednesday November 8
Time Topic Instructor(s)
10-12PM Elective 1: Analyzing Textual Data Steven Bedrick
10-12PM Elective 2: Web Scraping Kyle Banerjee
12:30-2PM LUNCH Lunch on your own
1:30-3PM Elective 1: Data Visualization Steven Bedrick and Jackie Wirz
1:30-3PM Elective 2: Mapping and Geospatial Visualization with QGIS David Percy

Contact Us & Get Involved

Join our Slack team to hang out, share tips and ask questions!

We use GitHub to get coding help and share files. Join us there!

Contact the organizers with questions or suggestions.

Who We Are

We are a group of researchers, librarians and University administrators from OHSU.

Facilitators

Nicole Vasilevsky

PhD, Cell Biology

Interests:
  •  Semantic technologies
  •  Open Science
  •  Research Data Management

Jackie Wirz

PhD, Biochemistry

Interests:
  •  Data visualization

Robin Champieux

MILS, Library Science

Interests:
  •  Open science
  •  Open data
  •  Research impact
  •  Scientific communication
  •  Libraries

Letisha Wyatt

PhD, Neuroscience

Interests:
  •  Data management
  •  Data visualization

Laura Zeigen

MLS, Library Science; MPH

Interests:
  •  Public health

Instructors

Asia Mitchell

PhD, Molecular and Medical Genetics

Interests:
  •  GitHub
  •  Genomic data science

Eleonora Juarez

PhD, Molecular and Medical Genetics

Interests:
  •  GitHub
  •  Cancer genomics

Ted Laderas

PhD, Bioinformatics

Interests:
  •  R
  •  Shiny
  •  Markdown
  •  ggplot2

Jessica Minnier

PhD, Statistics

Interests:
  •  R
  •  Biostatistics

Steven Bedrick

PhD, Bioinformatics

Interests:
  •  Information Retrieval
  •  Data visualization

Lilly Winfree

PhD, Neuroscience

Interests:
  •  Python
  •  R
  •  Data visualization

Patty Carney

PhD, Health Services Research and Educational Psychology

Interests:
  •  Qualitative data analytics

Kyle Banerjee

MLIS, Library and Information Science

Interests:
  •  Web scraping
  •  Metadata

David Percy

BS, Geology, Economics Minor

Interests:
  •  GIS
  •  Census data

Logistics

Further information about logisitics for the institute

  • Restaurant and Hotel Recommendations
    Some recommended restaurants near the White Stag building. We don't have an official recommended hotel, but the hotels listed on the map offer OHSU discounts. Click each pin for more information.
  • White Stag Building: Directions and other information
    Parking is limited at the White Stag building, but it is easily assessible via public transporation. Click above for more information.
  • Course requirements
    Please bring a laptop each day. Click above for additional information about requirements for the Data Science Institute.

Resources

Groups and resources for coding and research