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SciBite / Knowledge Hub / Resources / Use of SciBite tools in [meta]data specifications for clinical science workflows [Webinar]

Use of SciBite tools in [meta]data specifications for clinical science workflows [Webinar]

Hear from Takeda’s, Director, Clinical Metadata Repository, Julia Fox and Associate Director, Samantha Lipsky as they showcase a tool and process built to streamline managing clinical trial metadata.
Watch the Full Webinar

Within the Clinical Sciences domain, there are standard terminology to uphold for metadata related to trial submissions. We will show an example of a [meta]data set required in clinical data workflow, which assembles metadata from multiple references to summarize a study design in a specific tabular format.

Implicit in this manual, repetitive process are semantic fundamentals of defining classes, relating synonyms to preferred terms, annotating or maintaining reference identifiers, and curating specific information against a standard term or format. Traditionally this manual work would take days to complete and would be repeated for each data set.

The time savings from using tools translates to more time to devote to the studies themselves and less time tediously shifting through references. Finally, not to be dismissed, the knowledge preserved with semantic tools also scales to create future reproducible and connected (FAIR) data.

During this webinar we will discuss a tool and process built to semi-automate the ontology management, named entity recognition, and curation of this process using SciBite tools and associated APIs. By employing this method and defining the semantics with a suite of SciBite tools, we reduce manual efforts and reduce the time needed to build this data set from days to hours.

Presenter(s): 

  • Samantha Lipsky
    Associate Director, Takeda
  • Julia Fox
    Director, Clinical Metadata Repository, Takeda
Watch the Full Webinar
Thomas Woodcock
Technical Sales Manager, North America, SciBite

Tom has over 20 years of experience in biological and pharmaceutical sciences, spanning multiple continents and roles in research, consulting, and education. He is responsible for all SciBite’s technical engagements across the US business, including partners, prospects, and existing customers. By focusing on data as a valuable asset, Tom leverages both his specialist scientific domain expertise and passion for data science to help others solve data challenges and inform decision making through

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