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SciBite / Knowledge Hub / Resources / FAIR Data: Building a common scientific understanding [Webinar]

FAIR Data: Building a common scientific understanding [Webinar]

Overview

As organizations produce data and ingest externally generated data it is critical that they are able to harmonise to acceptable standards. The movement towards FAIR emphasises the need for human and machine readable metadata to enable data descriptions to be widely understood, both for the now and again in the future.

This need for FAIR is never more acutely felt than with the increasing investment in areas such as training deep learning models, as well as in search and big data integration. Finding, understanding and harmonising data for these applications is a long standing problem that requires good metadata; properly managed ontology standards are a key component of this strategy.

During this webinar, you will hear from our Head of Ontologies, Jane Lomax, as she explains how we are working with our customers to embrace these standards, starting with robust ontology management through to end-user applications such as assay registration and natural language queries.
Watch the full webinar
Jane Lomax
Head of Ontologies, SciBite

Jane leads the development of SciBite’s vocabularies and ontology services. With a Ph.D. in Genetics from Cambridge University and 15 years of experience working with biomedical ontologies, including at the EBI and Sanger Institute, she focussed on bioinformatics and developing biomedical ontologies. She has published over 35 scientific papers, mainly in ontology development.

Other articles by Jane:

  1. Introduction to ontologies; Watch on demand
  2. Why do you need FAIR data? read more
  3. The key to being FAIR read more
  4. Using ontologies to unlock the full potential of your scientific data – Part 1; read more
  5. How biomedical ontologies are unlocking the full potential of biomedical data; read more
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