How we help
From research requirements to working infrastructure.
glaidedata brings together strategy, infrastructure, scientific workflows and long-term adoption.
Define priorities and a practical path forward.
Build a reliable foundation for research data.
Turn scientific data into connected, reusable workflows.
Build the capabilities required for lasting adoption.
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Start where you need us.
Expand as your requirements grow.
RDM & Digitalization Strategy
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Turn broad ambitions into a practical path forward.
We help organizations assess their research data landscape, define priorities and turn RDM and digitalization goals into a practical roadmap aligned with scientific workflows, existing systems and organizational needs.
How we help:
Assess current RDM practices and challenges
Define goals and prioritize high-value use cases
Align research, Data Stewards, IT and leadership
Develop a practical roadmap for implementation
Technology & Infrastructure
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Build a reliable foundation for research data.
We deploy and operate NOMAD Oasis environments that fit your technical environment, security requirements and operational capabilities — from fully managed infrastructure to deployment within your own
IT environment.
How we help:
Deploy and configure NOMAD Oasis environments
Support managed or customer-operated infrastructure
Integrate plugins and standard authentication
Provide maintenance, updates and operational support
Workflows & Integration
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Turn scientific data into connected, reusable workflows.
We structure scientific workflows around the way research actually happens — connecting data, metadata, methods and systems while preserving scientific context and traceability.
How we help:
Develop and adapt NOMAD plugins and workflows
Model scientific data and metadata
Connect NOMAD with ELNs, LIMS and laboratory systems
Build reproducible data analysis and ML/AI workflows
People & Community
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Build the capabilities required for lasting adoption.
We help researchers, Data Stewards, administrators and internal communities build the knowledge and structures required to integrate research data infrastructure into everyday practice.
How we help:
Onboard researchers, Data Stewards and administrators
Deliver workflow-specific training and enablement
Build internal support and knowledge-sharing structures
Develop communities that sustain and scale RDM practices
RDM as a Service
Continuously develop your research data environment.
For organizations already operating a NOMAD Oasis, RDM as a Service provides ongoing access to our technical and research data management expertise. Instead of defining a new project for every improvement, we maintain a shared backlog and continuously work on the priorities that create the most value.
How we help:
NOMAD maintenance and updates
Plugin, schema and workflow improvements
New integrations and analysis capabilities
Technical support and troubleshooting
Onboarding and training of new users
Who we support
Built for complex research environments
From individual research groups to large collaborative initiatives, glaidedata helps organizations build research data infrastructure that fits their scientific workflows, scale and goals.
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Build structured, reproducible data workflows around everyday research:
Instruments & experiments
Local data management
Reproducible workflows
Analysis & insights
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Connect distributed partners, data and workflows through interoperable infrastructure:
Distributed data integration
Interoperability & standards
Secure data sharing
Global collaboration
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Create shared infrastructure across teams, instruments and research domains:
Centralized data infrastructure
Cross-team collaboration
Governance & compliance
Resource optimization
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Build reliable research data foundations for R&D, automation and AI/ML:
R&D data foundation
Automation & pipelines
Al/ML enablement
Scalable & secure
Why glaidedata
Where scientific expertise meets data infrastructure.
We combine scientific understanding, research data expertise and infrastructure implementation — bridging the gap between research requirements and working systems.
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Born from research, with first-hand experience in scientific data environments.
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Deep expertise in the NOMAD ecosystem and its implementation in real research environments.
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Expertise in structuring, managing and connecting scientific data for sustainable, reusable and FAIR research workflows.
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From requirements and architecture to integration, implementation and long-term adoption.
We understand the science behind the data.
And the infrastructure required to make it work.
See how other projects developed
Research organizations start from different challenges, from infrastructure and workflow integration to community-wide adoption.
See how these challenges have been approached in practice.
Let’s identify a useful first step.
Tell us about your research environment, current challenges and where you want to go.
Together, we can identify a realistic and valuable starting point.
