Endangered Data Week at UVA Library

The UVA Library is hosting a number of events as part of Endangered Data Week (April 17-21), a new, collaborative effort, coordinated across campuses, nonprofits, libraries, citizen science initiatives, and cultural heritage institutions, to shed light on public datasets that are in danger of being deleted, repressed, mishandled, or lost.

Below is the current list of events we are hosting at UVA for Endangered Data Week. No reservations are required, and light refreshments will be provided, so please join us if you can!

Visit http://data.library.virginia.edu/endangered-data-week for more details.

Introduction to Libra Data (Dataverse at UVA) – Monday, April 17th 11am-noon, in Brown Library, Room 133.
Introduction to Git/Github – Tuesday, April 18th, noon-1:30pm, in Brown Library, Room 133.
Introduction to DocNow – Tuesday, April 18th, 2pm-4pm, in Alderman Library, Room 421.
Web Scraping with R – Wednesday, April 19th, 10:30am-noon, in Brown Library, Room 133.
Preserving Artifact and Architecture with Cultural Heritage Informatics – Friday, April 21st, 10:30am-11:30am, Clemons VizLounge.
Endangered Data Week webinar – Friday, April 21st, 1pm-2:30pm, in Brown Library, Room 133.

For more information about other Endangered Data Week events around the country and around the world, visit the Endangered Data Week website.

Fall 2017 Data Science Short Courses!

The UVA Library’s Research Data Services is offering 1-credit data science courses in Fall 2017 through the Data Science Institute! Sign up and join the fun!

DS 6559-001 Data Wrangling and Exploration in R (1 credit, meets the first five weeks of the semester)
T,R 12:30-1:45 from 8/22/2017-9/21/2017
Instructor: Clay Ford
New Cabell Hall 489

This course covers data exploration, cleaning, and manipulation in R. Topics include reading in/writing out data in various formats, R data structures, working with date/time data, character manipulation, using regular expressions in R, reshaping data, data transformations, data aggregation and basic data visualization to aid in data cleaning.

DS 5559-001 Public Interest Data Lab (1 credit, meets the first ten weeks of the semester)
F 11:00-1:00 from 8/25/2017-11/3/2017 (no meeting on 9/29)
Instructor: Michele Claibourn
Clark Hall, Brown Library, Room 148

The lab course will provide experience working collaboratively, openly, and reproducibly on data science projects organized by the lab director — for example, working with local agencies to understand their data and improve processes, working with news data to help citizens better navigate a complex media environment. The goal is to provide students with an opportunity to enhance their data skills and to gain experience working as a team on a joint project while promoting social good.

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