1. Carly Schanock, Project Manager
LEADS-4-NDP
Carly Schanock, Project Manager

2. What does LEADS 4 NDP stand for?
L- Library and Information Science (LIS) E- Education A- and D- Data S- Science
4- For N- National D- Digital P- Platform
What is NDP?
National Digital Platform: combination of software applications, social and technical infrastructure, and staff expertise that provides content and services to all users in the United States

3. ABOUT LEADS Homepage: https://cci.drexel.edu/mrc/research/leads/
Improving Library Data Intelligence Through the Leads program
Carly Schanock; Jane Greenberg; Weimao Ke; Xia Lin; Il-Yeol Song; Jake Williams
Metadata Research Center | Drexel University, College of Computing and Informatics
ABOUT LEADS
The LEADS-4-NDP program is  supported by Institute of Library and Museum Services (IMLS) Laura Bush 21st Century Librarian Program. LEADS-4-NDP, will prepare next generation LIS faculty so they may meaningfully integrate data science and LIS education. This program gathers PhD students from across the United States and they then are partnered with a NDP site. These fellows and a mentor at their NDP site work together on a project. Some NDP sites include the Digital Public Library of America (DPLA), the OCLC, and University of Pennsylvania. Besides an in-person boot camp that takes place at the beginning of summer, the 10 week fellowship is done completely virtually
Homepage:

4. Project Outcomes Project/Host Project Outcome
Making a Metadata Meritocracy /
California Digital Library,
University of California,Office of the President
Cleaned Yamz code to be PEP8 and Flake8 compliant
Verified installation documentation for several environments
Investigated standalone gunicorn deployment
Content-based Learning on Temporal
Materials / Digital Curation Innovation
Center (DCIC), University of Maryland’s
iSchool
Explored federal records using ElasticSearch
Extracted dates from known date fields using regular expressions
Built machine learning pipeline with DateMatcher ( ) annotation
DPLA Resources and Vocabulary
Enrichment for Analytics/
Digital Public Library of America (DPLA)
Supports controlled vocabulary use and currency detection
Leverages existing controlled vocabularies
Enables optimal application of semantic networks
Semi-automatically Assigning Keywords to
Medieval Manuscripts on OPenn / Digital
Research Services, University Penn Libraries
Data pipeline written in R
CSVs to map keywords to target files
Data Informed Decision Making In The 21st
Century Library /Free Library of Philadelphia
Visualization created of data shared between departments (including data format and flow of information)
Narrative / analysis of potential next steps
Enhancing Access to Historic Biographical Data
Through Visualization Tools /
Historical Society of Pennsylvania
A D3-generated map using sample data that displays students connected to a school with modern street map and rollover
A plan for modernizing and geocoding historical addresses for entire dataset
Automatic Identification of Publisher Entities
to Support Discovery and Navigation / OCLC
Created a gold standard data with a Kappa value of 0.96 between annotators;
Using a k-NN classifier and a selection of features, predicted the publisher clusters with 97% accuracy;
ISBN prefix was not one of the most important features; and
Stopword removal did not have any significant effect on the results.
Mining Geo-references from Biodiversity Literature,
Smithsonian Libraries
Assessment and recommendations
NER and visualization prototype
Annotated test corpus
Connections made for possible collaboration and citizen science
Language and User Navigation / Temple
University
Used R to: bypass TEI tags in XML files; run code through multiple Excel sheets; eliminate NULLS; intersect 4 lists of entry terms to determine which terms appear in all 4 editions of the encyclopedia; create TXT files for each entry
Ran sample TXT files through HIVE to generate automatic indexing results
Identified challenges & next steps for optimizing RAKE algorithm parameters & addition of historical controlled vocabularies to HIVE

5. QUAD Slide
At the end of the fellowship, fellows were asked to create a "QUAD"slide which required them to share 1) Description, 2) Objectives, 3) Outcomes, and 4) Visualizations

6. My LEAD's experience
Maintain 3 listservs: Mentors, Advisory Board, and Fellows. And facilitate communication amongst them and the PIs
Create a blackboard shell for the educational boot camp and the schedule. Also attended the camp
Design in HTML and maintain a wordpress site hosted on the Drexel CCI website
Help write reports on the program
Attended International Data Week in Botswana, Africa in November 2018

7. Changes for 2019/2020 Microsoft may join as a partner
New cohort of fellows
New PI (Erjia Yan)
Leaving position and training a new project manager