Identifier |
042_DSS_EDW_EBPF2017 |
Title |
Data Science Service & Enterprise Data Warehouse for Health Sciences Research |
Creator |
Deshmukh, Vikrant G.; Lyons, Ann M.; Zhang, Mingyuan; Newman, Michael G.; Strong, Michael B. |
Subject |
Evidence-Based Practice; Research; Value-Based Health Care; Data Science; Data Curation; Data Interpretation, Statistical; Datasets as Topic; Data Warehousing; Metadata; Poster |
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. |
Relation is Part of |
Evidence Based Practice Posters - 2017 |
Publisher |
Spencer S. Eccles Health Sciences Library, University of Utah |
Date Digital |
2017 |
Date |
2017 |
Type |
Text |
Format |
application/pdf |
Rights |
https://rightsstatements.org/page/InC/1.0/ |
Language |
eng |
ARK |
ark:/87278/s6090hrp |
Setname |
ehsl_ebp |
ID |
1399411 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6090hrp |