Safeguarding Research: Why ELN Data Preservation Is a Strategic Imperative

Introduction

As part of our collaboration with our partner Astrix, ZONTAL recently led a webinar focused on a challenge that continues to surface across life sciences organizations—how to preserve, access, and trust scientific data over time.

In this session, ZONTAL’s Danielle Moore explored the reality of ELN data across large pharma environments and why traditional approaches to archiving and migration are no longer sufficient. What emerged was not just a technical discussion, but a broader conversation about how organizations safeguard knowledge in an increasingly complex digital landscape.

The Reality of ELN Data Over Time

The journey of ELN data is rarely straightforward. Organizations evolve, systems change, and acquisitions introduce entirely new environments. Over time, what begins as a structured digital strategy becomes fragmented.

Data spreads across multiple ELNs, each with its own format, structure, and dependencies. Migration efforts are often incomplete, not because of lack of intent, but because of incompatibilities and the sheer scale of the task. Meanwhile, legacy systems remain in place—not because they are useful, but because the data within them cannot be lost.

The result is a growing disconnect between where data lives and how it can be used.

When Access to Data Becomes Critical

This fragmentation becomes most visible when organizations are under pressure.

In scenarios like patent litigation or regulatory audits, the ability to quickly locate and validate data is essential. Yet in many cases, teams are forced to search across multiple systems, reconstruct context, and rely on individuals who may no longer be with the organization.

What should be a matter of retrieval becomes an exercise in reconstruction.

At that point, the issue is no longer about storage—it is about accessibility, trust, and risk.

Why Traditional Approaches Fall Short

Historically, archiving and backup strategies were designed to retain data, not to make it usable over time.

Data is often moved into storage environments that still depend on the original system or format to be interpreted. As systems age or are decommissioned, that dependency becomes a barrier. Even when data is technically preserved, it may no longer be accessible in any meaningful way.

Over time, organizations find themselves maintaining legacy systems not for functionality, but simply to retain access to historical data.

Shifting from Storage to Preservation

What is emerging instead is a shift in mindset—from storing data to preserving it.

Preservation ensures that data remains usable regardless of system changes. It prioritizes accessibility, traceability, and long-term integrity. Rather than tying data to a specific application, it separates the data from the system that created it.

This approach aligns with broader industry expectations around data governance and regulatory compliance, where the emphasis is not just on retaining data, but on being able to demonstrate its completeness, integrity, and lineage.

The Importance of Data Integrity

In regulated environments, the standard is clear. Data must be original, complete, and traceable.

Auditors are not interested in summaries or outputs alone—they want access to raw data, along with the full context of how it was generated and modified. They expect to see audit trails, understand transformations, and verify that nothing has been lost or altered.

When data is fragmented or difficult to access, this process becomes slower and more complex. When data is preserved in a consistent and accessible way, it becomes significantly easier to respond with confidence.

Decoupling Data from Systems

One of the key themes from the webinar is the recognition that systems will continue to change.

New technologies will be adopted. Organizations will acquire new capabilities. Workflows will evolve. Attempting to standardize on a single system indefinitely is not realistic.

Instead, the focus shifts to ensuring that data can persist independently of those systems. By decoupling data from the applications that generate it, organizations gain flexibility. They can evolve their technology landscape without losing access to their historical knowledge.

A More Sustainable Approach

ZONTAL’s perspective, as shared in the session, is centered on creating a vendor-neutral data layer that captures both raw and processed data while maintaining full context.

In this model, original data is preserved in its pristine form, while additional versions are transformed into standardized formats that enable broader access and analysis. This allows organizations to retain compliance while also making data usable across modern tools and platforms.

What changes is not just where data is stored, but how it can be used. Historical data becomes searchable, accessible, and ready for advanced analytics, rather than locked within legacy systems.

From Cost Center to Strategic Asset

When data is preserved effectively, it shifts from being a burden to becoming an asset.

Organizations can reduce the need to maintain outdated systems, streamline access for audits and legal cases, and unlock the value of historical data for research and innovation. What was once siloed becomes connected. What was once difficult to retrieve becomes readily available.

This is where preservation begins to drive real impact—not just in cost savings, but in enabling faster, more informed decision-making.

Closing Thought

The challenge of ELN data is not unique, but the approach to solving it is evolving.

As highlighted in our webinar with Astrix, the future is not about managing more systems or improving migration strategies. It is about ensuring that data remains accessible, trustworthy, and usable—regardless of how the technology landscape changes.

Because safeguarding research is ultimately about more than preservation.

It is about ensuring that knowledge endures.