Use Cases

Discover how SciBite’s powerful solutions are supporting scientists and researchers.

Use Cases Overview

Bioassay Registration Departmental Search Drug Safety Electronic Laboratory Notebooks
Enterprise Fair Data LLMs & GenAI Knowledge Graphs Target Validation + Drug Repositioning
Gartner report

Gartner® How to calculate business value and cost for generative AI use cases

Access report

Read report

Knowledge Hub

Explore expert insights, articles, and thought leadership on scientific data challenges.

Knowledge Hub

Resources

Discover our whitepapers, spec sheets, and webinars for in-depth product knowledge.

Resources

Events

Join us at upcoming events and webinars to learn more about SciBite solutions.

Events

News

Stay informed with the latest SciBite updates, announcements, and industry news.

News

Learn more

About SciBite

Explore SciBite’s full suite of solutions to unlock the potential of your data.

Discover more about us

Why SciBite Management Team SciBite Academy Careers
Our Partners

We build powerful partnerships with world-leading organizations.

Our Partners

Clinical Data Partners Data Management Platforms ELN Partners Enterprise Search Partners Knowledge Graph Partners

Learn more

Contact Us

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
LinkedIn
Share this article
Relevant resources, events and news
https://scibite.com/knowledge-hub/news/fair-data-ten-simple-rules-to-fairify-your-data/ thumbnail image News FAIR data: Ten simple rules to FAIRify your data

In the fourth and final blog in this series Scibite’s Head of Ontologies, Jane Lomax, shares her top 10 simple rules to start and progress your FAIR data journey.

Read more

https://scibite.com/knowledge-hub/news/fair-as-a-means-to-get-value-from-your-data/ thumbnail image News FAIR as a means to get more value from your data

Unlocking value from your data: Learn how FAIR principles drive pharmaceutical data transformation with AI/ML and knowledge graphs.

Read more

https://scibite.com/knowledge-hub/news/fair-data-and-cmc-procedures/ thumbnail image News Bringing FAIR data and CMC procedures together

Vocabularies to enable FAIR data principles to help users navigate documents with respect to Chemistry Manufacture & Control (CMC) procedures

Read more