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Data management

Integrating AI in Biotech R&D: 5 Essential Data Strategies for Success

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

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

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

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

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

SciNote_Blog_NIH_DMP_10b

What’s the best tool to improve your data management and sharing and comply with the upcoming NIH 2023 policy?

SciNote_Blog_NIH_DMP_5 (2)

Learn how to comply with the 2023 NIH Data Management and Sharing Policy and secure your research funding.

Data Integrity featured

Implementing good data integrity practices not only ensures your data is reliable and accurate but is also critical for complying with regulatory bodies.