Ensuring Research Continuity: 5 Keys to Lab Inventory Management During Transitions

In this blog post, we will highlight 5 crucial inventory management strategies that can directly prevent the loss of your vital experimental information, ensuring your research endeavors remain on track.

Data Security & Compliance: What’s the Difference, and Why It Matters

Data management

In this blog post, we’ll summarize a discussion on the importance of data security and protection and its impact on biotech from a recent webinar with SciNote’s CEO Brendan McCorkle, and Bhanu Jagasia and Kris Martel of bladestack.io, a leading cybersecurity and cloud services advisory firm.

Leave No Data Behind: A “Team All Data” Approach for Biotech

Data management

Our relationship with data has reached an unprecedented level. In addition to generating vast amounts of data, we have immersed – or perhaps even drowned – ourselves in a sea of diverse, complex, and rapidly expanding information. With this upsurge, the very nature of data in biotech – encompassing its volume, velocity, variety, veracity, and […]

Integrating AI in biotech R&D: 5 essential data strategies for success

Data management

In this blog post, we outline key strategies curated from a recent webinar “Unleashing the Power of AI in Biotech: 5 Actionable Insights” with CEOs from SciNote, Ganymede, and Snthesis.

Data Security in Biotech: Navigating the Cloud-Based vs On-Premise Debate

Data management

Not sure whether to manage your data using a cloud-based platform or an on-premise system? In this article, we will go through the benefits and challenges of both approaches, so you can make an informed decision.

Transition from another ELN to SciNote

Data management

This blog post outlines the strategic considerations necessary when planning the transition from another ELN to SciNote, and the steps required during the transition.

Lab Inventory Management: What Are The Options?

Data management

Laboratory inventory management: What are the options?

Learn the pros/cons of using spreadsheets for lab inventory management, and explore options to manage lab inventory such as specialized systems and electronic lab notebooks.

7 steps to get started with Research Data Management

Data management

Well organized research data can help you improve research efficiency, meet funding and regulatory requirements, and optimize the potential of your research.