Griffith, E.
, Sharp, J.
, Peskoe, S.
, Hanlon, A.
, Van Mullekom, J.
and Craig, B.
(2024),
A Thematic Understanding of the Current Landscape of Academic Statistical and Data Science Consulting Units, Stat, [online], https://doi.org/10.1002/sta4.718, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=957714
(Accessed September 26, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
A Thematic Understanding of the Current Landscape of Academic Statistical and Data Science Consulting Units
Published
Author(s)
Emily Griffith, , Sarah Peskoe, Alexandra Hanlon, Jennifer Van Mullekom, Bruce Craig
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.Citation
Stat
Volume
13
Issue
3
Pub Type
Journals
Download Paper
Keywords
collaboration, infrastructure, statistics, biostatistics, data science
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created July 26, 2024, Updated September 16, 2024