The current landscape of academic statistical and data science collaboration units with examples-Reference-Cited by-同舟云学术

The current landscape of academic statistical and data science collaboration units with examples

Published:2024-07-26 Issue:3 Volume:13 Page:
ISSN:2049-1573
Container-title:Stat
language:en
Short-container-title:Stat

Author:

Sharp Julia¹,Griffith Emily H.²^ORCID,Craig Bruce A.³,Hanlon Alexandra⁴,Peskoe Sarah⁵^ORCID,Van Mullekom Jennifer⁶

Affiliation:

1. Statistical Engineering Division National Institute of Standards and Technology Boulder Colorado USA

2. Department of Statistics North Carolina State University Raleigh North Carolina USA

3. Department of Statistics Purdue University West Lafayette Indiana USA

4. Department of Statistics Virginia Tech Roanoke Virginia USA

5. Duke University Medical Center Durham North Carolina USA

6. Department of Statistics Virginia Tech Blacksburg Virginia USA

Abstract

The delivery of academic statistical collaboration resources can vary among types of institutions and across time. In particular, this variation might occur in the management of infrastructure and the business model, the staffing model and opportunities for staff development. In this manuscript, we present examples of these three themes in modern academic statistical collaboration units and describe key advantages and challenges.

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sta4.718

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