What's Happening?
A webinar hosted by PTP, AWS, and Quilt Data is set to explore how modern data lake architectures can help life sciences organizations adopt FAIR data principles—Findable, Accessible, Interoperable, and Reusable. The session aims to address the challenges of managing the exponentially growing scientific data, which often remains siloed and underutilized. By leveraging AWS-powered data lakes, organizations can achieve secure, scalable, and compliant data storage and access, thereby unlocking the full potential of their research data. The webinar will feature Aaron Jeskey, Principal Cloud Architect at PTP, who will share insights on structuring and curating scientific data to make it actionable, along with real-world examples of accelerated R&D through FAIR data strategies.
Why It's Important?
The adoption of FAIR data principles is crucial for maximizing the value of scientific research data, which can significantly accelerate discovery and development in the life sciences sector. By making data more accessible and actionable, organizations can enhance collaboration, improve research outcomes, and drive innovation. This approach not only benefits individual companies but also contributes to the broader scientific community by facilitating data sharing and interoperability. As the life sciences industry continues to evolve, the ability to effectively manage and utilize data will be a key competitive advantage, influencing research efficiency and the speed of bringing new solutions to market.
What's Next?
Life sciences organizations are likely to increasingly adopt FAIR data principles and modern data lake architectures to improve their data management practices. This shift may lead to enhanced collaboration across the industry, as companies share data more freely and efficiently. As organizations implement these strategies, they may also invest in training and development to ensure their teams are equipped to handle the complexities of data management. The webinar could serve as a catalyst for further discussions and initiatives aimed at improving data accessibility and utilization in the life sciences sector.
