Electronic Laboratory Notebooks (ELN) and Bioproduction: A Key Lever for Industrial Performance

Bioproduction now plays a strategic role at the heart of the pharmaceutical, biotechnology, agri-food, and green chemistry industries and the industry. It refers to the production of complex biological molecules — proteins, antibodies, enzymes, hormones, membranes, or other macromolecules — using living systems such as microorganisms, animal cells, or plant cells. In this context, the Electronic Laboratory Notebook ( ELN ) has emerged as a strategic tool to structure, exploit, and enhance data throughout the entire development and production lifecycle.

These biotechnological approaches have profoundly transformed the healthcare sector by enabling the development of innovative treatments for diseases that were previously difficult to address: rare, chronic, or degenerative diseases, cancers, as well as advanced therapeutic strategies such as vaccines, gene therapy, and cell therapy.

However, this innovation capacity comes with increasing operational complexity. Bioproduction processes rely on tightly controlled parameters — culture conditions, strains, media, batches, equipment, time, pH, temperature — and generate large volumes of heterogeneous and critical data. Mastering this data has become a central challenge to ensure reproducibility, quality, regulatory compliance, and industrial performance.

In this context, the Electronic Laboratory Notebook (ELN) is no longer limited to being a simple scientific documentation tool. It has become a true digital foundation for bioproduction, capable of structuring experimental data, facilitating collaboration between R&D, production, and quality teams, and supporting industrial scale-up. When strategically adopted and integrated, the ELN becomes a key lever for transforming biological data into a sustainable competitive advantage.


The Specific Challenges of Bioproduction

Bioproduction relies on sensitive processes that are highly dependent on experimental conditions (temperature, pH, time, strains, media, batches, equipment). See more here ! Reproducibility, traceability, and parameter control are essential, both during R&D phases and during scale-up or industrial transfer.

Laboratories face several recurring challenges:

  • dispersion of data across paper notebooks, Excel files, specialized software, and unconnected databases,
  • difficulty capitalizing on experimental history to optimize processes,
  • increasing requirements for traceability, regulatory compliance, and auditability,
  • the need for seamless collaboration between R&D, production, quality, and data teams.

The Key Role of the Electronic Laboratory Notebook

A modern ELN makes it possible to centralize all experimental data related to bioproduction processes in a secure digital environment. It replaces paper notebooks and becomes a true foundation for managing scientific and technical knowledge.

In practice, an ELN provides:

  • consistent structuring of experiments, protocols, and results,
  • full traceability of data, versions, and user contributions,
  • fast access to experimental history, facilitating process optimization,
  • real-time collaboration between teams, sites, and partners,
  • improved preparedness for regulatory requirements (quality, audits, compliance).

ELN and Advanced Exploitation of Bioproduction Data

Beyond simply digitizing laboratory notebooks, next-generation ELNs play a key role in the advanced exploitation of bioproduction data. Data generated from fermentations, cell cultures, or pilot-scale trials can be cross-analyzed, visualized, and explored to identify trends, critical success factors, or optimization levers.

This data-driven approach is particularly strategic for:

  • continuous improvement of process yields and robustness,
  • technology transfer between R&D and production,
  • industrial scale-up,
  • reduction of development costs and timelines.

The ELN as a Laboratory and Role Management Tool

Beyond bioproduction itself, laboratory performance also depends on clear organization of roles, responsibilities, and resources. In this context, the electronic laboratory notebook plays a central role in team coordination and the smooth execution of daily operations.

Through templates and inventory management, a modern ELN can be adapted to the different roles within a laboratory.


Laboratory Technicians

For technicians, the ELN becomes a day-to-day operational tool.
Experiment and protocol templates allow them to:

  • follow standardized and validated procedures,
  • quickly enter results and production parameters,
  • reduce errors related to manual re-entry or inconsistent formats,
  • easily access necessary information (batches, equipment, reagents).

Integrated inventory management also ensures that consumables and raw materials are available, traceable, and properly linked to the experiments performed.


Project Managers

For project managers, the ELN provides a cross-functional view of laboratory activities.
They can:

  • structure projects using templates adapted to different phases (R&D, pilot, industrialization),
  • track the progress of experiments and bioproduction campaigns,
  • quickly identify bottlenecks or deviations,
  • coordinate interactions between R&D, production, and quality teams.

The ELN thus becomes a management and steering tool, not just a documentation system.


Laboratory Managers

Laboratory managers benefit from a consolidated view of activities and resources.
With an ELN, they can:

  • oversee equipment usage and inventory levels,
  • ensure compliance with procedures and internal standards,
  • facilitate knowledge transfer between teams and sites,
  • anticipate human and material resource needs.

This centralization improves decision-making and strengthens operational control.


Quality Control (QC) Managers

For quality managers, the ELN is a strategic asset.
It enables them to:

  • rely on templates aligned with regulatory requirements,
  • ensure full traceability of data and approvals,
  • facilitate audits and inspections,
  • analyze non-conformities and implement corrective actions.

Integrating inventory and batch management into the ELN further strengthens the reliability of the quality system.


Toward More Flexible ELNs Aligned with Real-World Needs

The needs of bioproduction stakeholders are evolving rapidly. Rigid ELNs, with limited customization or overly focused on documentation, are showing their limitations. Teams now expect platforms that can adapt to their specific workflows, data types, and operational constraints.

Modern ELN solutions, based on SaaS and no-code approaches, enable the creation of tailored environments: customized experimental forms, monitoring dashboards, and links between experimental data, analytical results, and production parameters. This flexibility is a key driver of adoption and value creation.


Olympeis: An ELN Designed to Orchestrate Bioproduction and Laboratory Management

In this demanding context, Olympeis was designed as much more than a simple electronic laboratory notebook. It is a modular, no-code, and collaborative platform built to adapt to the real-world needs of bioproduction laboratories.


A Role-Oriented Platform

Olympeis makes it easy to create customized templates based on user roles:

  • experimental protocols for technicians,
  • project tracking for project managers,
  • management dashboards for laboratory managers,
  • quality forms and audit trails for QC teams.

Each user benefits from an environment tailored to their role while working on a shared, coherent data foundation.


Integrated Inventory and Resource Management

Olympeis integrates inventory, batch, equipment, and consumable management directly into the ELN. Experimental data is automatically linked to the resources used, which:

  • strengthens traceability,
  • facilitates post-production analysis,
  • improves reproducibility,
  • secures quality processes.

Flexibility, Scalability, and Compliance

Thanks to its SaaS and no-code approach, Olympeis evolves with the laboratory without heavy development efforts. Workflows can adapt as processes, regulatory requirements, or industrial scale-up evolve.

The platform also integrates essential compliance mechanisms: version history, access control, audit trails, electronic signatures, and data security.


A Lever for Collective Performance

By centralizing data, processes, and roles within a single tool, Olympeis enables laboratories to:

  • collaborate more effectively,
  • better manage their activities,
  • reduce organizational friction,
  • fully exploit the value of their bioproduction data.

Olympeis thus becomes a true digital foundation for modern laboratories, serving industrial performance, quality, and innovation.


Conclusion

In a context where bioproduction is becoming increasingly complex, regulated, and data-driven, the electronic laboratory notebook is no longer a simple documentation tool. It has become a core pillar of performance, traceability, and innovation for laboratories and industrial organizations.

Adopting an ELN tailored to the challenges of bioproduction not only secures data but also unlocks its full potential to optimize processes and strengthen industrial competitiveness.

Bioinformatics Services: From Data Analysis to Scientific Decision-Making

Bioinformatics is now at the heart of life sciences research activities. Omics data generation, high-throughput sequencing, multi-parameter analyses — data volumes and complexity are growing exponentially. Yet in many organizations, the main challenge is no longer data production, but rather its operational and strategic exploitation.

This is precisely where bioinformatics services deliver their full value.


A Bottleneck That Is More Organizational Than Technological

In many biotech companies, pharmaceutical organizations, and research laboratories, teams face a paradox:

  • data is available,
  • tools exist,
  • but access to analysis remains limited to a small number of expert profiles.

Dependence on highly specialized bioinformaticians — who are often scarce and overextended — creates significant delays between data generation and interpretation. Experimental teams must wait for results, reformulate requests, and sometimes do so without fully understanding the underlying technical constraints. The result is lost time, internal friction, and slowed R&D projects.


Bioinformatics Services as a Lever for Streamlining Workflows

Modern bioinformatics services are no longer limited to running pipelines or delivering analysis reports. Their role has evolved toward structuring data, industrializing workflows, and making analysis more accessible to scientific teams.

They typically contribute to:

  • designing reproducible and well-documented pipelines,
  • structuring and standardizing data from multiple projects or platforms,
  • automating recurring analyses,
  • setting up environments that allow scientists to explore their own data.

The goal is no longer just to deliver a one-off analysis, but to create a sustainable framework that enables teams to gain autonomy.


From One-Off Services to Team Enablement

A strong market trend is the evolution of bioinformatics services. Indeed wesee more hybrid approaches combining expertise and tooling. Rather than multiplying bespoke analyses, organizations seek to capitalize on previous work by creating reusable tools tailored to their specific use cases.

This approach makes it possible to:

  • reduce long-term dependence on external service providers,
  • accelerate analysis cycles,
  • better leverage generated data,
  • and improve collaboration between bioinformaticians, researchers, and R&D managers.

A Key Challenge: Connecting Data, Experimental Context, and Decisions

One of the historical weaknesses of bioinformatics services lies in information fragmentation: raw data is analyzed in one place, while experimental context, hypotheses, and decisions are documented elsewhere.

The most advanced approaches now aim to reconnect analyzed data with its scientific context, ensuring that results can be directly used to guide experimental choices, prioritize research directions, or adjust development strategies.


Toward More Accessible and More Strategic Bioinformatics

As data volumes continue to grow, value no longer lies solely in the ability to analyze data, but in the ability to rapidly transform analysis into decisions. Bioinformatics services are therefore evolving toward more structuring models, where technical expertise is combined with a reflection on usage, workflows, and collaboration.

This is the logic behind the emergence of new no-code platforms and solutions dedicated to life sciences: they extend the work of bioinformaticians by making analyses more accessible, traceable, and reusable across R&D teams.


The Infobioco Approach: Co-Building Useful and Sustainable Bioinformatics Solutions

At Infobioco, bioinformatics services are designed as a close collaboration with scientific teams from the very early stages of each project. The objective is not only to deliver an analysis, but to understand the experimental context, business constraints, and downstream decisions.

Each engagement begins with a scoping phase aimed at aligning scientific needs, available data, and future use of the results. Infobioco’s bioinformaticians work closely with researchers, project managers, and R&D leaders, prioritizing regular exchanges and clear documentation of pipelines and methodological choices.

This approach enables the delivery not only of interpretable results, but also of reproducible, scalable, and reusable workflows designed to last over time. By placing domain understanding and knowledge transfer at the core of its services, Infobioco helps its clients gain autonomy, streamline analysis processes, and more effectively transform data into scientific decisions.

Why You Must Adopt an ELN in 2026

In 2026, scientific and industrial research has entered a new era. Data volumes are exploding, regulatory requirements are becoming increasingly stringent, and R&D teams are more distributed than ever. In this context, continuing to work with paper notebooks or fragmented digital tools has become a real barrier to performance and innovation. The Electronic Laboratory Notebook (ELN) is no longer optional — it is now a standard.


1. The End of the “Paper” Laboratory

Paper lab notebooks were long considered the norm, but they are now completely misaligned with the reality of modern laboratories. They are difficult to share, impossible to properly back up, poorly secured, and incompatible with the massive volumes of data generated by today’s instruments.

In 2026, laboratories produce data from connected instruments, analytical tools, modeling software, and bioinformatics platforms. Attempting to manage all this using Excel files, shared folders, and paper notebooks is not only inefficient — it is risky.

An ELN makes it possible to centralize all this information in a structured, traceable, and secure environment.


Electronic Laboratory Notebook vs Paper Notebook

CriteriaPaper NotebookElectronic Laboratory Notebook (ELN)
TraceabilityLimited, dependent on manual entriesComplete: timestamps, history, audit trail
Regulatory complianceDifficult to guarantee (GLP, GMP, ALCOA+)Native compliance (e-signatures, versioning, data integrity)
Data securityRisk of loss, theft, or deteriorationSecure, backed-up, and controlled data
Information retrievalSlow, manualInstant via search engine
CollaborationVery limitedReal-time sharing, multi-site
Data exploitationLow, unstructured dataStructured data usable for AI, reporting, IP
ScalabilityImpossible at scaleDesigned for large data volumes
Audits and inspectionsHeavy and time-consumingFast, with instant exports and traceability
Knowledge preservationFragile (staff turnover, lost notebooks)Sustainable capitalization of scientific knowledge

👉 In 2026, paper notebooks no longer meet either scientific or industrial requirements.


2. Traceability and Compliance Have Become Critical

Regulatory requirements (GLP, GMP, ISO, FDA, EMA, etc.) have never been stricter. Every experimental data point must be traceable, auditable, and justifiable. In 2026, good intentions are no longer enough: authorities expect systems capable of guaranteeing data integrity (ALCOA+, audit trails, electronic signatures, versioning).

An electronic laboratory notebook provides native traceability: every modification is recorded, every user is identified, and every result is timestamped. This has become a prerequisite for any organization aiming to industrialize its results or collaborate with international partners.


3. Collaboration Has Become the Norm

R&D teams are no longer all located in the same building. They are often spread across multiple sites, countries, or even organizations (CDMOs, universities, startups, large corporations). In 2026, laboratory performance depends on its ability to collaborate efficiently.

An ELN enables instant sharing of protocols, results, raw data, and analyses while maintaining precise access rights. Gone are the days of files sent by email, multiple versions, and information loss.


4. Data Has Become a Strategic Asset

Experimental data is no longer used solely for publication or hypothesis validation. It is now reused for process optimization, AI, modeling, intellectual property, and economic valorization. In 2026, the most successful organizations are those that know how to leverage their data over the long term.

A well-structured ELN turns past experiments into a true scientific asset — searchable, reusable, and exploitable at scale.


5. The Laboratory Must Be as Agile as the Rest of the Organization

Innovation cycles are shortening, projects evolve rapidly, and priorities shift constantly. Rigid tools that are difficult to adapt or configure hinder agility. Modern ELNs allow laboratories to create customized workflows, adapt forms, integrate instruments, and automate certain tasks.

In 2026, a laboratory notebook is no longer just a data entry tool — it is an R&D management platform.


6. Olympeis: The Electronic Laboratory Notebook Designed for the Labs of Tomorrow

In this context, Olympeis was designed as a new generation of electronic laboratory notebook, tailored to the realities of modern research, bioproduction, and regulated environments.

Olympeis does not merely replace paper.
It acts as the laboratory’s nervous system, connecting experiments, data, projects, teams, and quality processes.

Thanks to its no-code and modular approach, Olympeis enables laboratories to:

  • create their own experiment and protocol templates,
  • structure data according to their business workflows,
  • track projects, batches, equipment, and resources,
  • collaborate in real time across R&D, production, and quality teams,
  • and ensure full traceability and regulatory compliance.

Unlike rigid ELNs, Olympeis adapts to real-world laboratory use cases:
chemistry, formulation, bioproduction, analytics, quality control, academic research, or industry.

By placing scientific data, collaboration, and flexibility at the heart of the platform, Olympeis enables laboratories to turn their ELN into a powerful lever for performance, innovation, and competitiveness.


Conclusion

Adopting an electronic laboratory notebook in 2026 is not a matter of modernity — it is a matter of competitiveness. Laboratories that continue to rely on fragmented, manual, or outdated tools fall behind in productivity, compliance, and innovation capacity.

Conversely, those that invest in a modern, collaborative, and data-driven platform gain the ability to accelerate discoveries, secure results, and transform R&D into a true growth engine.