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Article
Workshop Synthesis: Sampling Issues, Data Quality & Data Protection
Transportation Research Procedia
  • Jimmy Armoogum
  • Jennifer Dill, Portland State University
Document Type
Article
Publication Date
1-1-2015
Subjects
  • Errors-in-variables models,
  • Transportation -- Research,
  • Privacy and identity protection,
  • Information storage and retrieval systems,
  • Data archives
Abstract
This workshop discussed various aspect of the mathematical part of survey methodology, as well as archiving and confidentiality issues aimed at improving data quality and its use through time. Participants identified ways to correct or minimize bias by dealing with incomplete sampling frames, using weighing and imputing procedures. We discussed methods to archive and share GPS-based survey data to preserve anonymity. Finally, we debated research needs on these topics for the next following years.
Description

Copyright 2015 Published by Elsevier B.V.

This is an open access article under the CC BY-NC-ND license creativecommons.org.

10th International Conference on Transport Survey Methods

DOI
10.1016/j.trpro.2015.12.006
Persistent Identifier
http://archives.pdx.edu/ds/psu/16760
Citation Information
Armoogum, J., & Dill, J. (2015). Workshop Synthesis: Sampling Issues, Data Quality & Data Protection. Transportation Research Procedia, 11, 60–65.