Predicting criminal recidivism using registration data

DOI PID

These data are from two papers that research the predictability of general, violent and sexual recidivism using registration data. It consists of 2005/2006 conviction cohorts and includes both binary and survival outcome variants. The subsamples for training and testing sets are included so the data is independent of random number generation implementations.

Identifier
DOI	https://doi.org/10.17026/dans-23p-7uuu
PID	https://nbn-resolving.org/urn:nbn:nl:ui:13-6o-gj0d
Source	https://nbn-resolving.org/urn:nbn:nl:ui:13-6o-gj0d
Metadata Access	https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:78692

Provenance
Creator	Tollenaar, N (Research and Documentation Centre (WODC))
Publisher	Data Archiving and Networked Services (DANS)
Publication Year	2018
Rights	info:eu-repo/semantics/restrictedAccess; DANS License
OpenAccess	false

Representation
Language	Dutch; Flemish
Resource Type	Dataset
Discipline	Various