Amy M. Pienta

The NYC Longitudinal Survey of Well-Being Data Curation Project

Research Project Description

ICPSR will curate the 9 waves of Panel 1 and the 17 waves of Panel 2 of the NYC Longitudinal Survey of Well-Being ensure compliance with the FAIR data principles -- findability, accessibility, interoperability, and reusability. The curation process includes a thorough review of the data for disclosure risk during which curators assess whether any items or patterns in the data could allow re-identification of individuals. If such issues are found, data curators address the confidentiality concerns in consultation with the principal investigator to protect research subjects while at the same time maximizing the analytic potential of the data. In addition, data curators enhance existing documentation and perform a variety of data cleaning tasks, including checking for undocumented codes and standardizing missing data.



More specifically, the curation process includes the following steps, designed to optimize the data's potential for reuse:



? Review data for level of sensitivity and re-identification risk

? Convert hardcopy documentation to electronic form

? Convert software-specific documentation to PDF/A

? Generate multiple data formats for dissemination and preservation

? Create documentation compliant with the Data Documentation Initiative (DDI) specification

? Create a descriptive metadata record

? Assign a Digital Object Identifier (DOI), which recognizes the contribution of the researcher and ensures that the data are discoverable

? When necessary, recode variables to address confidentiality concerns

? Check for undocumented/out of range codes

? Review question text, variable labels, value labels

? Identify and address foreign language characters

? Adjust format widths

? Optimize file size

? Review missing values

? Check for consistency and skip patterns

? Create online analysis version with question text

? Add variables to the ICPSR Social Science Variables Database

? Gather citations to related publications for the Bibliography of Data-Related Literature

Funding:
Eunice Kennedy Shriver National Institute of Child Health and Human Development
(subcontract: 1MM CGL)

Funding Period: 12/1/2018 to 8/31/2020

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