Data Science Service & Enterprise Data Warehouse for Health Sciences Research

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Identifier 042_DSS_EDW_EBPF2017
Title Data Science Service & Enterprise Data Warehouse for Health Sciences Research
Creator Vikrant G. Deshmukh, PhD, MS; Ann M. Lyons, PhD, RN; Mingyuan Zhang, MS; Michael G. Newman, MS; and Michael B. Strong, MD
Description Clinical research requires easy access to high quality data, as well as individuals with a sound understanding of the structure and principles needed to systematically analyze complex problems. Data Science involves the extraction of knowledge from data, and Data Science Service (DSS) aims to provide such expertise to the Health Sciences research community. DSS staff currently provide data extraction and data concierge services to investigators, and help them effectively use and navigate tools and processes needed to obtain data for their research studies. In many cases, Business Intelligence (BI) tools can provide between 50 - 75% of the data elements (i.e. variables) needed in a study. Additionally, DSS staff work with investigators to ensure that analytic datasets needed for statistical analysis are prepared appropriately using a combination of self-service tools, Structured Query Language (SQL), and other techniques. In addition to the actual datasets, DSS staff also provide standardized description of the data extraction process and metadata needed for manuscripts.
Subject Data Science Service; Enterprise Data Warehouse; Research; Health Sciences
Publisher Spencer S. Eccles Health Sciences Library, University of Utah
Date 2017
Date Digital 2017
Language eng
ARK ark:/87278/s6090hrp
Relation is Part of 2017 Evidence Based Practice Posters
Format application/pdf
Setname ehsl_ebp
Date Created 2019-02-05
Date Modified 2021-05-06
ID 1399411
Reference URL
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