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Workbench datasheet

Aerial View On Foggy Pine Forest At Sunrise

SciBite has created Workbench, a data harmonization tool that provides a simple visual interface for curating and annotating data to terminology and ontology standards.

Workbench allows you to align your data to SciBite’s extensive set of curated “VOCabs” or to existing public or private standards using SciBite’s TERMite Named Entity Recognition engine. Workbench is fast, easy to use, and can learn from previous curation work to accelerate data harmonization within your organization.

Advanced curation management

Recording data can pose organizations with numerous challenges. Individuals and groups may use idiomatic or historic nomenclature that limits data re-usability, and information can be siloed, restricting transparency and collaboration. Additionally, repetitively integrating data from multiple sources can be time-consuming and prone to errors.

Simplifying the arduous task of data curation

Workbench is a data curation and harmonization tool powered by SciBite’s core semantic technologies. Powered by SciBite’s TERMite and VOCab technologies, Workbench supports organizations adopting a FAIR (Findable, Accessible, Interoperable, Reusable) approach to data management. A critical component to making data more FAIR is to enable data interoperability through aligning data to shared terminology and ontological standards.

Empowering data curation through repeatable curation

With Workbench, you can also use annotation rules to map internal codes or proprietary terms to your selected ontology terms or vocabulary, eliminating the tedious and error-prone manual editing process. Additionally, Workbench enhances replicability by saving these annotation rules, which can be applied to future data annotation tasks.

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  2. Creating a SciBite VOCab from a public ontology

    Public ontologies are essential for applying FAIR principles to data but are not built for use in named entity recognition pipelines. At SciBite, we build on the public ontologies to create VOCabs optimized for NER. In this blog, discover how we create a SciBite VOCab from a Public Ontology.


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