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The importance of curated vocabularies for an effective content & data strategy [Webinar]
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In this webinar, SciBite and our partner Copyright Clearance Center (CCC) showcase the benefits of managing a data strategy enhanced with curated vocabularies.

Managing content and data assets across the enterprise is a top priority for cutting-edge knowledge and information professionals. But for content and data to be beneficial, it needs to be easily discoverable and accessible, which isn’t always the case for R&D intensive organizations.

Hear from SciBite and Copyright Clearance Center (CCC) to learn about the benefits of managing a data strategy enhanced with curated vocabularies. We discuss:

  • Powering your search tools with curated vocabularies, and its benefits for end users
  • How to select the right vocabularies for your organization – and why it’s critical to your overall strategy
  • Uncovering which vocabularies will be most benefit to aggregated data sets, featuring real use cases from SciBite

Enterprise search partners

We partner with leading enterprise search platforms to enhance real-time big data analytics for pharma and biotech companies. Semantic search capabilities improve the accuracy of search results allowing companies to make data-informed decisions. Find out more about how SciBite’s solutions can help unlock the potential of the R&D data in your business.

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Sam Shelton
Director of Alliances, SciBite

Sam leads partnerships and alliances at SciBite, working collaboratively with existing partners and developing new partnerships aligned to SciBite’s strategic goals. He has a strong technical background in the life sciences, with a PhD in Protein Biochemistry from the University of Nottingham and post-doctoral training in bioinformatics within the department of Neurosurgery at the University of California San Francisco.

Prior to Joining SciBite he held technical sales and commercial roles at Carl Zeiss and most recently led business development at Repositive, building relationships with contract research organisations, biotech’s and pharma companies, facilitating data exchange and search across multiomic datasets. He has a good grasp of the challenges of dealing with unstructured scientific data, and collaboratively developing practical solutions to overcome these.

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