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dc.contributor.authorVilhuber, Lars
dc.descriptionPresented at the 2018 ADRF Network Research Conference.en_US
dc.description.abstractThe 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.en_US
dc.description.sponsorshipFunding 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.en_US
dc.publisherPresented at the 2018 ADRF Network Research Conference and available at the University of Pennsylvania Scholarly Commons.en_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.titleReproducibility Confidentiality Data Accessen_US

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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International