SciBite Launches Workbench, a Structured Data Annotation Tool – Taking the Effort Out of Tabular Data Curation

SciBite, an Elsevier company and leading provider of semantic technology solutions, has today announced the launch of Workbench, a structured data annotation tool that simplifies the process of curating data to terminology and ontology standards.

Workbench helps organizations implement a FAIR approach to data management, making data Findable, Accessible, Interoperable, and Reusable. With Workbench's simple and intuitive user interface, data scientists and curators can accurately annotate data, saving time and promoting replicability.

“Recording data can be a challenging task for organizations, as idiomatic or historical naming conventions used by individuals or groups can limit data reusability, and information silos can restrict transparency and collaboration,” explains Simon Jupp Head of Semantic Technology, SciBite. “Integrating data from multiple sources can be time consuming and error prone. To address these issues, we have developed Workbench, a user-friendly tool that helps curate term lists, custom dictionaries, and semi-structured datasets to their preferred terminology standard.”

Workbench’s simple design makes it easy for users to:

• Load, annotate, and align their data or ontologies to a standard of their choice without needing to build complex code or workflows.

• Ingest multiple tabular data formats, including Excel, CSV, or txt file formats.

• Users have the option to store and rerun annotation rules that refine entities as part of a data life-cycle strategy.

• Workbench’s flexibility allows users to configure the standards they wish to align their columnar data to, while its API, enables custom deployments.

Workbench also has a powerful REST API that allows programmatic access to core functions, enabling integration into custom data curation workflows. Workbench requires access to a TERMite server, which can be configured to use an existing license or an embedded server. Workbench simplifies the arduous task of data curation, enabling teams to get more done.

More details about Workbench can be found here se abre en una nueva pestaña/ventana.

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Notes for editors

About SciBite

SciBite’s data-first, semantic analytics software is for those who want to innovate and get more from their data. Leading the way by pioneering the combination of the latest in machine learning with an ontology-led approach, SciBite’s semantic infrastructure answers business-critical questions in real-time by releasing the value and full potential of unstructured data.

Supporting the world’s leading scientific organizations with use-cases from discovery through to development, SciBite’s suite of fast, flexible, deployable API technologies empowers customers, making it a critical component in scientific, data-led strategies.

For more information about SciBite, please contact the team: [email protected] se abre en una nueva pestaña/ventana

Acerca de Elsevier

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