
Search

Browse By Day

Browse By Time

Browse By Person

Browse By Area

Browse By Session Type
Search Tips
ASC Home

Sign In


X (Twitter)
Session Submission Type: Complete Thematic Panel
PANEL: Even the best dataset typically needs some amount of cleaning, but just how messy is too messy? Most organizations do not track information with the intention to conduct academic studies, but that does not mean the information they collect is unusable. This panel covers topics related to identifying inconstancies in secondary datasets, embracing tools and technology to address time sensitive and frequently requested information, sourcing variables across organizations, and negotiating practitioner partnerships. Transitioning from academic settings to applied research poses unique challenges from negotiating stakeholder expectations to estimating project timelines without seeing datasets to relying on administrative collected by practitioners. This panel offers examples from the field and discusses strategies for dealing with messy real-world data. Our goal is to share insights from the field and offer useful approaches to analyzing messy data.
Title: Creating a Data Repository with Publicly Available Data
Title: “We Don’t Track That:” Strategies for Using Administrative Data from Jails
Title: H is for Hawaiian: Lessons from the Field
Title: Improving Data Quality and Utility Through Academic-Practitioner Partnerships
Creating a Data Repository with Publicly Available Data - Clarissa Dias, Crime and Justice Institute
“We Don’t Track That:” Strategies for Using Administrative Data from Jails - Rachel Schmidt, Crime and Justice Institute; Jordan Holsinger, Crime and Justice Institute
Improving Data Quality and Utility Through Academic-Practitioner Partnerships - Erica Bower, Crime and Justice Institute; Mei Yang, Crime and Justice Institute
Crime and Justice Institute, a division of Community Resources for Justice