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Development journey
Services
Bio|Verse®
Case studies
About
Careers
News
Blogs
Let’s discuss how we can turn your data into real scientific impact.
Contact us >
FAIRifying your data: How to succeed in R&D data management
BioLizard helps life sciences organizations implement FAIR R&D data management plans to make data Findable, Accessible, Interoperable, and Reusable. Through webinars, case studies, and expert guidance, they show how FAIR data principles save time, reduce costs, and provide a competitive edge.
Having a great R&D data management plan can provide considerable returns, both in generating the best scientific insights from your data, and in saving your organisation a lot of time and money. In our experience, when life science organisations implement an R&D data management plan that follows the principles of FAIR data – thereby improving data findability, accessibility, interoperability, and reusability across the organisation – they gain a competitive edge.
Want more information on our approach to R&D data management?
In this webinar, BioLizard’s experts will provide a theoretical framework and best practices for implementing and maintaining FAIR data principles, as well as present concrete client cases where we successfully supported the adoption of these principles. At the end of the webinar, you will understand the principles of FAIR data and how they can be applied to improve data findability, accessibility, interoperability, and reusability within your own life science research, as well as the benefits that this can bring to your organization.
Why work with us? At BioLizard, our expertise spans both computer science and biology – meaning that we can act as effective translators to align the needs of IT and R&D departments, and design and implement an R&D data management plan that works for all key stakeholders across your life sciences organization.
Prefer to do some more reading before you reach out to us? No problem, we have lots of free information to share with you!
Read this blog article to understand how R&D data management can help save your life sciences organisation time, money, and headaches
Read this blog article for a step-by-step guide for building a successful R&D data management plan
Read this blog article to learn about how to stay on top of your R&D data management game once you have implemented a great R&D data management plan
Oncology drug development often begins in patients, allowing early safety and efficacy insights. Yet many cancer drugs still fail in the clinic. We validate the target but ignore its context within the tumor microenvironment. This article explores why spatial biology may improve clinical success.
BioLizard has been named “Bioinformatics Innovation of the Year” in the 2025 BioTech Breakthrough Awards. The honor spotlights Bio|Verse® Navigator, a visual analytics workspace that unifies complex R&D data so scientists can decide faster, with confidence.
Bioinformatics pipelines break for the smallest reasons: package updates, shifting dependencies, or “it only works on my machine.” This post explains why experienced software engineers and DevOps practices (Git, CI/CD, IaC) are essential to keep workflows reproducible, stable, and scalable.