Please enter your details to get this file.


More Than FAIR: Unlocking the Value of Your Bioassay Data

More Than FAIR: Unlocking the Value of Your Bioassay Data

One of the most valuable assets for any organisation is its data. However, most pharmaceutical companies are unable to realise its true value as a result of either i) deploying a data management system that is geared towards entering rather than mining data and/or ii) replacing such systems over time, resulting in silos of legacy data.

The way in which an organisation captures and manages its data is fundamental to addressing this problem. A wider scientific community initiative has resulted in the establishment of the FAIR principles1 to ensure that data is Findable, Accessible, Interoperable and Reusable. Although initially focused on the accessibility of public domain data, the FAIR principles are rapidly gaining interest from the pharmaceutical industry.

The benefits of FAIR can be illustrated using the example of bioassay data management. A significant proportion of the pre-clinical data that has been accumulated by every pharmaceutical company is a result of conducting a range of biological assays to characterise drug targets and evaluate potential therapeutic molecules. Databases dedicated to managing bioassay data contain an amazing wealth of R&D knowledge and, as such, provide a rich resource for mining with both scientific and operational questions.

To learn more, download the full use case.

Related articles

  1. Are Ontologies relevant in a Machine Learning-centric world?

    SciBite CSO and Founder Lee Harland shares his views on how ontologies are relevant in a machine learning-centric world and are essential to help "clean up" scientific data in the Life Sciences industry.

    Read
  2. Exploring ontology visualisation techniques for biological data

    What’s the most useful way to visualise an ontology? SciBite CTO James Malone gives his views on answering this commonly asked question regarding ontology visualisation techniques.

    Read

How could the SciBite semantic platform help you?

Get in touch with us to find out how we can transform your data

Contact us