Bioassay protocols constitute the essential metadata for the experimental results collected in the drug discovery process. While assay protocols are accessible, they are universally in plain text formats, which is not machine-readable. Therefore, the assay protocols require qualified professionals to invest time in reviewing them manually. The Pistoia Alliance BioAssay FAIR Annotation project, known as the DataFAIRy, aims to overcome these challenges.
The objective of the DataFAIRy project is to enable the high-quality curation of a large body of published biological assay protocols and convert the metadata into machine-readable FAIR data objects.
Through collaboration, the project aims to develop collective definitions, which should lead to the emergence of a standard information model for assay protocol metadata. This model will be shared using resources such as FairSharing.org and the CEDAR Workbench (https://metadatacenter.org/). Data management tools, such as the BioHarmony Annotator used by the Pistoia Alliance team, will also support it so that the standards will be more broadly adopted.
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