Project UP Data Management Plan Quantitative Data

DOI

Project UP Data Management Plan Quantitative Data Project UP aims to obtain knowledge on risk and protective mechanisms that play a role in unintended pregnancies. For data analyses, we will (re-)use readily available data from the Generation R cohort, a study of families in multi-ethnic Rotterdam. Specifically, we examine: Who is at risk for an unintended pregnancy, and how do risk factors cluster together? Which factors predict the non-use of contraceptives? What factors explain the link between unintended pregnancies and negative outcomes in children? What factors protect against the negative outcomes of unintended pregnancies?

This entry is a one-file data package totaling 59.1 KB, containing a file in .pdf format.If you use this dataset, please cite: Enthoven, Clair (2023). Project UP Data Management Plan Quantitative Data. Erasmus University Rotterdam (EUR). Data management plan. https://doi.org/10.25397/eur.24099456

Identifier
DOI https://doi.org/10.34894/UGGERY
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/UGGERY
Provenance
Creator Enthoven, Clair ORCID logo
Publisher DataverseNL
Contributor Enthoven, Clair
Publication Year 2025
Funding Reference [Grant Label: ZonMw Unintended Pregnancy Research Program, grant number 554002008]
Rights CC-BY-4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Enthoven, Clair (Erasmus School of Social Science and Behavioral Science <https://ror.org/057w15z03>)
Representation
Resource Type Dataset
Format application/pdf
Size 56463
Version 1.0
Discipline Psychology; Social and Behavioural Sciences