Back on the streets: Maturation and risk factors for recidivism among serious juvenile offenders.

This study examines how social and cognitive factors shape future criminal activity among serious juvenile offenders and assesses how adolescents' cognitive development affects the relative impact of those factors over time. The sample, from the Pathways to Desistance Study, is comprised of youth (aged 14-18 years) in the United States convicted of serious criminal offenses, and the outcome measure is self-reported crime. We rely on data collected when the youth were first interviewed (n = 1088) and 18-24 months later (n = 904). Logistic regression analyses reveal a strong relationship between impulsiveness and criminal behavior, regardless of age. Susceptibility to peer pressure and perceived risk that friends would be arrested were found to predict future criminal activity among younger adolescents, but have little impact at later ages. External factors such as amount of social support and gang membership have varying effects over time.

A Data-Driven Approach to Appraisal and Selection at a Domain Data Repository.

Social scientists are producing an ever-expanding volume of data, leading to questions about appraisal and selection of content given finite resources to process data for reuse. We analyze users' search activity in an established social science data repository to better understand demand for data and more effectively guide collection development. By applying a data-driven approach, we aim to ensure curation resources are applied to make the most valuable data findable, understandable, accessible, and usable. We analyze data from a domain repository for the social sciences that includes over 500,000 annual searches in 2014 and 2015 to better understand trends in user search behavior. Using a newly created search-to-study ratio technique, we identified gaps in the domain data repository's holdings and leveraged this analysis to inform our collection and curation practices and policies. The evaluative technique we propose in this paper will serve as a baseline for future studies looking at trends in user demand over time at the domain data repository being studied with broader implications for other data repositories.