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.

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).