Name: Jesse Johnston
Type: User
Company: University of Michigan School of Information
Bio: He/him. Teaching @umsi. 🏳️🌈 Previously digital collections @libraryofcongress, preservation/access @NEHgov, teaching @iSchoolUMD.
Twitter: jesseajohnston
Location: Michigan, USA
Blog: https://www.jesseajohnston.net
Jesse Johnston's Projects
LC workshop
Library Carpentry workshop at the Library of Congress, September 2019
Page for Library Carpentry workshop at USGS on March 30 & 31, 2021. Topics include Tidy Data, bash, Git, OpenRefine
Workshop website for online Library Carpentry workshop at OSU, May 24-25 & 27-28, 2021.
Library Carpentry workshop page for online event hosted by Lebanon Public Libraries, Oct 5-9, 2021.
Test site for ARC Group
Demonstration of creating and validating BagIt file packages using bagit python library with sample files from the LoC Web Archives
Group of SNA tools for gathering network of links on blogs (specifically, ethnomusicology blog network such as it is).
Information and ideas for CarpentryCon
CollectionBuilder test for data pulling from CSV
This software project is no longer being actively developed at the Library of Congress. Consider using the Open-ONI (https://github.com/open-oni) fork of the chronam software. Project mailing list: http://listserv.loc.gov/archives/chronam-users.html.
This repository holds materials for use in learning digital curation tools and concepts from archival and library perspectives. Materials for Master's course at UMD iSchool, 2018 & 2019.
git testing example
Personal site themed with mmistakes/minimal-mistakes
Library Carpentry: Introduction to Working with Data (Regular Expressions)
MarcEdit Workshop
OpenRefine for Librarians
Library Carpentry Workshop Overview
A repository containing the materials for a Python workshop a the Library of Congress in May 2019
Library Carpentry: The Shell Lesson
Introduction to web scraping
Library Carpentry: XML
A collection of MODS records from the LC web archives with exploratory activities for manipulating XML with Python in Jupyter Notebooks.