The next letter in our FAIR principle series is A.
The FAIR framework—Findable, Accessible, Interoperable, and Reusable—starts with making data discoverable. But discovery alone isn’t enough. If information can be located but not accessed, it remains unusable.
What Accessibility Really Means
Accessibility ensures that once data is found, it can be securely retrieved along with its metadata. This applies to both people and machines, and it relies on open, standards-based methods. For laboratories, accessibility doesn’t mean throwing open the doors to everything. Instead, it’s about controlled openness: giving authorised users the right level of access while keeping sensitive or regulated information protected.
How AgiLab LIMS Supports Accessibility
A Laboratory Information Management System (LIMS)helps labs meet accessibility goals by centralising data into a single source of truth. At AgiLab, our Role-based permissions allow fine-grained control over who can access what, while audit trails track usage for accountability and compliance. We can even keep metadata visible when datasets are restricted, aligning with FAIR’s emphasis on secure but transparent access.
Where Legacy LIMS Systems Falls Short
Legacy LIMS platforms often focus on internal workflows. As a result, they may rely on proprietary protocols instead of open standards like RESTful APIs, and data can end up locked behind firewalls. This makes collaboration difficult and can jeopardise long-term access if data is archived or migrated.
In practice, traditional LIMS systems make internal access straightforward but don’t always meet FAIR’s broader vision of discoverability and retrievability across systems and over time.
Closing the Gap
To achieve full FAIR compliance, labs often need to extend their LIMS with:
- Open-standard APIs for machine-to-machine communication
- Secure portals or cloud repositories for external collaborators
- Persistent metadata catalogs to ensure metadata remains available even if datasets move
This layered approach balances security with usability. Labs lacking in-house expertise may benefit from external consultants to evaluate and upgrade their systems.
Modern informatics platforms built around FAIR principles—at AgiLab we offer integrated support for secure, standards-based accessibility. These platforms reduce the need for add-ons and help labs collaborate more effectively while future-proofing their operations.
Accessibility: Step Two in FAIR
Accessibility is the second principle in FAIR, focused on secure, standards-driven retrieval of both data and metadata. Traditional LIMS provides a foundation with centralization, permissions, and audit trails, but full compliance often requires open protocols and repositories—or adopting a modern platform designed with FAIR in mind.
Next, we’ll explore the “I” in FAIR: Interoperability, and how shared formats and vocabularies allow data to move seamlessly between systems.