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Bioassay Registration Departmental Search Drug Safety Electronic Laboratory Notebooks
Enterprise Fair Data LLMs & GenAI Knowledge Graphs Target Validation + Drug Repositioning
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SciBite / Use Cases / Electronic Laboratory Notebooks

Electronic laboratory notebooks The electronic laboratory notebook (ELN) has become an important source of experimental data and most companies recognize this, having employed an ELN to centralize R&D data. The challenge they face is finding a way to effectively mine the information contained within.

At the core of SciBite’s solutions are established vocabularies which enable complex, experimental data to be contextualized so that it can be understood and used as high–quality, actionable data regardless of its source. With SciBite’s unique retrospective and prospective semantic enrichment, your team can bring scientifically intelligent search to any ELN platform and mine data to derive valuable insights. 
How SciBite unlocks the value of ELNs
Icon - Ontology management
Ontology management

CENtree helps teams to maintain up to data ontologies using experts to augment vocabularies with proprietary data to create a single, authoritative and universally applied terminology.
Icon - Semantic indexing
Semantic indexing

TERMite, our NER applies standard ontologies to ELN experiments to create a semantic index that transforms the unstructured data held in documents.
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Third-party integration

This semantically enriched data can be surfaced through SciBite, via third–party search and visualization tools, ELN interfaces or any combination of these, for ease of use and interoperability.
Overview With most ELNs only performing rudimentary search capabilities, many pharmaceutical companies are unable to realize the full potential of the unstructured data they have stored in word documents, attachments and free text entries.

SciBite’s solutions transform experimental text into a semantically indexed structure that can then be queried via a simple user interface, to provide answers to questions that would otherwise require manual aggregation. 
Semantically intelligent data

SciBite’s semantic enrichment solutions are not just limited to retrospective data. Using SciBite Forms, any ELN data can be made semantically intelligent, helping teams to enrich their data at the point of capture by autosuggesting relevant terms as they type.

 Better interrogation

Semantic enrichment enables deeper data analysis by supporting complex, ontology-based queries. It ensures that all the relevant data is retrieved, irrespective of the synonym, coding or terminology used.

 Faster identification

SciBite accurately marks up all relevant terms and concepts within an experiment beyond the indexing terms used by the ELN. This means users can quickly identify the topics covered in an experiment without having to read all the records within it. It also helps companies to pick up and crucially, act upon trending topics by quickly identifying frequently mentioned terms.
Take a closer look

Find out how SciBIte is helping to open new possibilities for ELN data. Download the full use case here.

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Relevant resources, events and news
https://scibite.com/knowledge-hub/resources/webinar-making-eln-systems-semantically-aware/ thumbnail image Resource The importance of making ELN and registration systems semantically aware [Webinar]

SciBite and Dotmatics showcase plans to offer a comprehensive ELN and Bioassay Registration data capture and management solution.

 ELN partnerships

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https://scibite.com/knowledge-hub/resources/unlock-the-full-potential-of-eln-data/ thumbnail image Resource Unlock the full potential of ELN data [Use Case]

SciBite’s unique combination of retrospective and prospective semantic enrichment immediately brings scientifically intelligent search to any ELN platform.

 TERMite

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