ADRC Data Core Webinar Series 2019

Links beneath each description will take you to a video of the webinar.

Nicolas May
"Tidy Eval" in R for munging UDS data

Nicolas May, University of Michigan ADRC

July 31, 2019

Metaprogramming [] can be a useful tool for data munging because so much data manipulation code for wide datasets (such as UDS) with iterating field names can be more efficiently and effectively written by code than by hand. For example, manipulating UDS v3 fields like 'sib1yob' through 'sib20yob' with code written by hand takes a lot of typing and may result in quiet errors because of field name typos. Tidy evaluation (or "tidy eval") is a conceptual framework that follows tidyverse [] principles to make metaprogramming in R more consistent and accessible. In this webinar we will explore how tidy eval can make complex or code-verbose data munging tasks more simple and reliable.

Kevin Hanson
NACCulator: A collaboration to facilitate data transfer

Kevin Hanson, 1Florida ADRC

August 14, 2019

This webinar will discuss the open-source tool called NACCulator, and how the 1Florida ADRC and University of Michigan ADC have collaborated to develop this tool over time. NACCulator is a Python-based program that formats output from REDCap to share data with the NACC data system. It incorporates data validation checks from the NACC UDS 3.0 data element dictionary and can be scripted to run automatically.

Sudeshna Das
Transitioning to electronic data capture at the Massachusetts ADRC

Sudeshna Das, Massachusetts ADRC

September 24, 2019

The Massachusetts Alzheimer’s Disease Research Center (MADRC) recently began a transition to a REDCap-based electronic data capture (EDC) system for the National Alzheimer's Coordinating Center (NACC) Uniform Data Set (UDS) version 3 as well as the Neuropathology Data Set and the FTLD (Frontotemporal Lobar Degeneration) and LBD (Lewy Body Dementia) Modules. MADRC has so far been using paper forms for data capture and entering the data into NACC directly. In this webinar, we will discuss our experiences, lessons learned, and how we leveraged reusable resources developed by other ADCs. We will present the workflows designed and implemented, and the advantages of using an EDC system. We hope that our experiences will inform other ADCs that are planning to use REDCap-based EDC. We will also briefly touch on how we have integrated data from all the MADRC cores and developed a linkage database for query and visualization of these multi-modal data.