Using the FAIR principles to improve efficiency, reduce cost, and get all insights from your data
Having a great data management plan can provide considerable returns, both in generating the best scientific insights from your data, and in saving your organization a lot of time and money. In our experience, when life science organizations implement a data management plan that follows the principles of FAIR data - thereby improving data findability, accessibility, interoperability, and reusability across the organization - they gain a competitive edge. Their discovery and R&D efforts scale more efficiently and in a truly data-driven way, collaboration is improved, and data redundancy and meeting time is reduced.
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.
Team lead bioinformatics and senior bioinformatics scientist, PhD, MSc bioscience engineering