JavaScript is disabled for your browser. Some features of this site may not work without it.
Reproducibility Confidentiality Data Access
Author
Vilhuber, Lars
Abstract
The recent concern about the reproducibility of research results has not yet been robustly incorporated into
methods of providing and accessing administrative data, casting doubts on the validity of research based on
such data. Reproducibility depends on disaggregating and exposing the multiple components of the research -
data, software, workflows, and provenance - to other researchers and providing adequate metadata to make
these components usable. The key worry is access: the authors of a study that uses administrative data often
cannot themselves deposit the data with the journal, thereby impairing easy access to those data and
consequently impeding reproducibility. This suggests a critical role for administrative data centers. We argue,
that data held by ADRF do have attributes that lend themselves to reproducibility exercises, though this may,
at present, not always be communicated correctly. We describe how ADRF can and should promote
reproducibility through a number of components.
Description
Presented at the 2018 ADRF Network Research Conference.
Sponsorship
Funding acknowledged under NSF-#1131848 (NCRN) and a grant from the Alfred P. Sloan Foundation.
The opinions expressed in this talk are solely the authors, and do not represent the views of the U.S. Census Bureau,
the American Economic Association, or any of the funding agencies.
Date Issued
2018-11Publisher
Presented at the 2018 ADRF Network Research Conference and available at the University of Pennsylvania Scholarly Commons.
Subject
reproducibility; replicability; accessibility
Rights
Attribution-NonCommercial-ShareAlike 4.0 International
Type
presentation
The following license files are associated with this item:
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International