The Metadata Responsibility

Artificial intelligence needs metadata: reimagining how we define, capture and use metadata in biology

In this whitepaper, we explore the importance of metadata to realizing the full potential of artificial intelligence within the biological sciences.

Written by Synthace, in this report you will learn:

What the data journey is and why data generators are in a position of incredible responsibility to the wider scientific community

Why metadata determines the overall value of a dataset, and why it’s challenging for a researcher to define what metadata to collect

Why a broader view of experimental design is an integral part of generating data that is fit for AI use cases

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