Eight practices for data management to enable team data science.

ABSTRACT:

Introduction

In clinical and translational research, data science is often and fortuitously integrated with data collection. This contrasts to the typical position of data scientists in other settings, where they are isolated from data collectors. Because of this, effective use of data science techniques to resolve translational questions requires innovation in the organization and management of these data.

Methods

We propose an operational framework that respects this important difference in how research teams are organized. To maximize the accuracy and speed of the clinical and translational data science enterprise under this framework, we define a set of eight best practices for data management.

Results

In our own work at the University of Rochester, we have strive

SUBMITTER: McDavid A 

PROVIDER: S-EPMC8057476 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature