FAIR Biomedical Data

Increasing FAIRness and value of data through semantic models and knowledge graphs

The problem

Data has always been a key element of scientific research. Today, it is also a key asset for companies and organizations. The time that data was just an obscure topic for the IT department is long gone. It is now a boardroom topic, with many organizations having appointed a Chief Digital Officer.

So you would expect that for life science organizations − which are both heavily oriented on science and have a strong focus on digital − ensuring that their data are well organized, integrated and governed is a top priority. And it is!

But making sure that biomedical data are Findable, Accessible, Interoperable and Reusable (FAIR) is easier said than done. It requires expert knowledge of the scientific domain, business processes, rules and regulations, data standards and computational frameworks − all of which are prone to change.

How The Hyve can help

The complexity of the biomedical data landscape was a reason for The Hyve to create a Biomedical Data Services team. Our company has been engaged in the FAIR movement since its inception in 2014, and we have worked with all top 10 pharma companies, dozens of academic hospitals, patient organizations, and government and science agencies to advocate and implement a FAIR data strategy.

Our experience and expert knowledge of data standards cover all aspects of biomedical research data − from knowledge graphs in drug discovery to clinical trial data standards, and from antibody manufacturing data to real world healthcare data. Whether you are leading a multi-year global digital transformation project or a biomedical startup looking for ways to improve data management, The Hyve’s consultants can help you identify areas for improvement and which steps to take to reach your FAIR data targets.

Research Data Management Research Data Management

Research data has proven to be a major asset for exploring scientific hypotheses across the biomedical industry. Using this data to their full potential is often not easy, especially when working across department and unit boundaries. This can be due to metadata that is inconsistently used or applied between sources, is missing or is used incorrectly.

Our RDM team can help you organize and manage your data so you can focus on the research questions and data analysis that you care about.

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We’re interested in hearing how we can tailor our services to your need.
If you are interested in our services, don't hesitate to contact us by sending an email to marketing@thehyve.nl.


Let's start collaborating

  • Get in touch with our consultants on how your organisation can optimally benefit from the implementation of the FAIR principles, or how Fairspace can improve FAIR research data management within your organization
  • Encourage a FAIR culture within your organisation by organising a workshop
  • Book an assessment to get a clear, unbiased understanding of the level of FAIRness within your department or organisation
  • Define and implement a FAIR-by-design data strategy with the help of our experienced data engineers

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