Setting the standard: myths about data standardization that are holding laboratories back

Setting the standard: myths about data standardization that are holding laboratories back

Brought to you by MilliporeSigma

Overview

Standardization is a key part of modern data management strategies, yet organizations have been slow to adopt standardized data formats. Many reasons holding companies back are rooted in misconceptions about data standardization. This whitepaper debunks some mistaken beliefs about data standards and explains how better data management can make for a more efficient, higher-achieving company or lab.

Key Objectives:

Defining data standardization and FAIR principles
The costs of outdated data management systems
How data standardization can help organizations achieve their goals

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