The Power of Interoperability in Science

Why Your Scientific Software Solution Must Be Open, Connected, and Future-Ready

The lone genius, alone in a lab toiling until they make a world-changing discovery, is a myth.  

But when it comes to lab operations – equipment, software, and databases – isolation is the reality. While scientific discovery thrives on collaboration, all too often, different aspects of lab operations can function as islands, to the detriment of the research group: Siloed systems and disconnected workflows impede progress, inflate costs, and lock valuable data away from the teams that need it.  

In today’s R&D landscape, where rapid iteration, multi-disciplinary teams, and ever-expanding data types are the norm, the ability to share, connect, and act on information isn’t just “nice to have;” it’s a necessity.

To support this reality, lab-wide interoperability – the ability of digital systems and software to exchange and use information – is essential. It’s not a technical afterthought; it’s a strategic capability that needs to be intentionally implemented and nurtured through the selection of the right tools.  

In the blog that follows, we explore why disjointed, closed systems don’t meet the needs of today’s researchers, why interoperable systems do, and how Revvity Signals can enable labs to access flexible integrations, semantic search, and seamless workflows, empowering researchers to innovate more effectively.

The Hidden Costs of Closed Systems

Many scientific organizations still rely on closed, isolated systems, vendor-locked tools, rigid architectures, and data structures that resist integration.  

This fragmented approach has historically hampered collaboration and data sharing across biology, chemistry, and formulation by forcing teams into siloed solutions addressing individual use cases. These constraints don’t just create technical inefficiencies; they elevate long-term cost and operational risk.

Closed systems limit a team’s scalability, their ability to adapt workflows, and their capacity for flexibility. They slow down experimental execution, make multidisciplinary decision-making more difficult, and undermine the data integrity expected in regulated environments. Modern R&D requires the flow of information; when systems restrict that movement, every integration becomes a bespoke effort, and every adjustment becomes costly.

These limitations are painful for labs operating in regulatory environments, multi-site organizations, and CRO-dependent workflows, where data must be findable, accessible, interoperable, and reproducible (FAIR) to ensure compliance and coordination. Only FAIR-compliant software solutions can sustain the agility needed across the Design-Make-Test-Decide lifecycle.  

In short, closed systems don’t just slow science, they compound strategic and operational costs over time.

What Interoperability Really Means

Interoperability isn’t simply the connection of two (or more) systems: It reflects a solution’s ability to flex, scale, and communicate across the entire scientific ecosystem. At its core, it relies on open APIs, modular architecture, and integration, allowing labs to build workflows that evolve with their science. These architectural principles ensure that data moves freely, systems remain adaptable, and new capabilities can be added without disruption.

This is the approach we take with all of our solutions: For instance, Signals One™ allows data fluidity and delivers built-in integrations with ChemDraw® and Spotfire®, enabling structure-aware design workflows and multimodal analytics as part of a unified environment. It can also connect to external systems such as LIMS, registration databases, CRO portals, and instrument data sources via automation and integration APIs.

New releases for Signals One also introduce AI-powered features, such as semantic search and expanded data publishing capabilities, enabling users to push or pull data across applications while maintaining FAIR data standards.

Interoperability in the Real-World

Over the years, Revvity Signals has developed tools to help research groups implement interoperability and system integration across their R&D environments. Signals Notebook™, which is a core component of the Signals One solution, exemplifies this approach. For instance, consider the simple integration between Signals Notebook and a lab’s LIMS: When a researcher enters information (e.g., registers a new sample) into the Notebook, it can be automatically checked against the LIMS data, sent to the LIMS, and recorded, ensuring a clear audit trail. This automated process prevents errors by eliminating the need for manual entry. Because Signals Notebook is embedded within Signals One, these integrations don’t require custom development, they’re part of a unified, interoperable architecture.

We’ve also developed systems to help streamline outsourced drug-discovery workflows. For example, with Signals Synergy™, CROs can send deliverables in spreadsheets, reports, and varied formats, and the solution automatically transforms the information into analytics-ready, structured datasets, ready for downstream visualization and AI/ML utilization.

When put into practice, the impact is huge. With Axxam, an Italian R&D organization, Signal Notebook helped digitize 3,000 paper notebooks collected over 17 years, creating a unified digital solution and database for collaboration across 13 experimental groups. Ultimately, this improved traceability and strengthened compliance via APIs, shared templates, and integrated workflows.

Making Your Lab Future-Ready

The future of R&D means integrating AI, FAIR data principles, and cross-disciplinary collaboration to compete in the crowded marketplace. That means adopting a shared and connected digital ecosystem today, allowing data, analytics, and workflows to collectively inform the Design-Make-Test-Decide cycle.  

This evolution is no longer optional; it’s a strategic requirement.
 

Labs evaluating digital solutions must look beyond a checklist of features and assess whether a software solution is open, integration-ready, and capable of supporting continuous evolution. Signals One embodies this standard with its unified, cloud-native architecture, FAIR-driven data management, and deep integrations across ChemDraw®, Spotfire®, Signals One Data Processing, and external systems. In addition, Signals Notebook and Signal Synergy offer open integration and interoperability with LIMS and other systems, providing an adaptable R&D environment.

As the science world continues to evolve, an agile approach is required to maintain a competitive advantage. Interoperable systems, like those from Revvity Signals, are a key component of achieving long-term success.

Are you interested in learning more about our solutions’ interoperability? Contact us today!