Research Centers

Academic and corporate research centers with animal facilities

Real Use Cases in Research Centers

Research Project Portfolio Tracking

Situación:

A biomedical research center manages 40+ active projects with data scattered across Excel, SharePoint, and emails. Scientific directors lack real-time visibility on progress, milestones, budgets, and publications. Reporting to funders (NIH, ERC, foundations) requires 1-2 weeks of manual work consolidating information from multiple PIs.

Solución:

Layer 1 (Digitalization): Integration with financial ERP (SAP, Oracle) and LIMS/ELN (LabArchives, Benchling) via APIs for automatic capture of project data, budgets, and outputs. Layer 2 (Monitoring): Centralized portfolio dashboard that visualizes in real time the status of each project: milestones completed vs. planned, budget burn rate, outputs (publications, patents, datasets), and core facility utilization. Filtered by PI, funding source, and therapeutic area.

Capas Implementadas:

1.Ltoyer 1: Digitalization2.Ltoyer 2: Monitoring

Impacto:

80% reduction in progress report preparation time (from 1-2 weeks to 1-2 days). Early identification of 3 projects at risk of delay, enabling resource reallocation. Improvement in grant renewal rate (+15%) thanks to better documentation of outputs and preliminary results.

Grant Management and Compliance

Situación:

Center with 25M€ annual grants from multiple funders (NIH, ERC, private foundations) faces audits that detect compliance gaps: miscategorized expenses, undocumented staff time, subcontracts without adequate justification. Lack of a centralized system for tracking spend vs. budget per grant and validating expense eligibility according to each funder's specific rules.

Solución:

Layer 1 (Digitalization): Automatic validation of expense eligibility according to funder-specific rules (NIH, ERC, foundations) and direct connection with financial ERP and HR for transaction extraction. Layer 2 (Monitoring): Grant management dashboard with real-time tracking of spend by budget category (personnel, equipment, materials, travel) compared with approved budget and forecasts. 24/7 compliance evidence ready for audits. Layer 3 (Proactive Response): Intelligent alerts for grant expirations, reporting deadlines, and potentially ineligible expenses detected before execution.

Capas Implementadas:

1.Ltoyer 1: Digitalization2.Ltoyer 2: Monitoring3.Ltoyer 3: Response

Impacto:

Zero compliance findings in the last 2 NIH and ERC audits. 90% reduction in financial report preparation time (from 3-4 days to 2-3 hours with automatic exports). 150K€ in ineligible expenses avoided by detection before execution. Improvement in available budget utilization (+12%) by identifying underspending in time.

Core Facility and Equipment Optimization

Situación:

Center with 5 core facilities (genomics, proteomics, imaging, flow cytometry, animal facility) and high-cost equipment (NGS sequencers, confocal microscopes, cytometers) lacks visibility into actual utilization. Cannot answer: What % of time is each piece of equipment idle? Which groups/projects are the heavy users? Does the maintenance cost justify the usage?

Solución:

Layer 1 (Digitalization): Integration with booking systems (iLab, LabCollector) and automatic equipment usage logs for utilization data capture without manual intervention. Layer 2 (Monitoring): Core facility utilization dashboard that visualizes hours booked vs. actually used per equipment, usage distribution by research group, revenue generated per facility, and cost analysis per hour of operation vs. rate charged.

Capas Implementadas:

1.Ltoyer 1: Digitalization2.Ltoyer 2: Monitoring

Impacto:

Identified an NGS sequencer with only 15% utilization vs. 60% expected, data-driven decision not to renew maintenance contract (savings of 40K€/year) and use external services. 30% reduction in booking no-shows thanks to alerts and penalties based on historical data. Rate adjustment to recover real operating costs, improving facility sustainability.

Scientific Output and Impact Tracking

Situación:

Research center needs to demonstrate scientific impact for institutional funding renewal and accreditations. Lacks a system for centralized tracking of outputs: publications (with impact metrics), patents, published datasets, conference presentations, collaborations, press mentions. Information is fragmented and PIs report with inconsistencies.

Solución:

Layer 1 (Digitalization): Integration with APIs from PubMed, Scopus, Web of Science, Altmetric, and patent registries for automatic capture of scientific outputs without manual PI input. Layer 2 (Monitoring): Research outputs dashboard with automatic publication tracking by ORCID/author, impact metrics (citations, h-index, journal IF, Altmetric score), and association of outputs to specific grants for reporting to funders. Collaboration visualization via co-authorship network graphs. Layer 3 (Proactive Response): Predictive impact analysis and automatic KPIs for preparing funding renewal applications, evidencing scientific ROI in real time.

Capas Implementadas:

1.Ltoyer 1: Digitalization2.Ltoyer 2: Monitoring3.Ltoyer 3: Response

Impacto:

Accreditation dossier preparation in 2 days vs. 3 weeks previously. Objective demonstration of 250+ publications in Q1/Q2 journals in the last 3 years, 15 patents, and 80+ international collaborations, contributing to successful renewal of 5M€/year institutional funding. Identification of top-performing PIs for data-based incentives and promotions.

Specific Dashboards for Research Centers

Solutions adapted to the unique needs of research management, grants, and core facilities.

Key Metrics We Monitor

Projects and Grants

  • Milestones completed vs. planned
  • Budget burn rate per project
  • Spend vs. budget per category (personnel, equipment, etc.)
  • Grants about to expire (alerts)
  • Renewal success rate

Scientific Outputs

  • Publications per PI/group (Q1/Q2/Q3/Q4)
  • Cumulative citations and h-index per PI
  • Altmetric score and media mentions
  • Patents filed/granted
  • Published datasets (Zenodo, Figshare, etc.)

Resources and Facilities

  • % utilization of core equipment
  • Hours booked vs. used
  • Revenue generated per facility
  • Downtime for maintenance/repairs
  • Operating cost vs. rates charged

Compliance and Reporting

  • % of eligible expenses per funder
  • Pending or delayed progress reports
  • Staff training compliance (Good Lab Practice, biosafety)
  • Audits passed without major findings
  • Average response time to funder queries

Measurable Impact on Research Management

Real results obtained by research centers with our management and monitoring solutions.

Reduction in Reporting Time

-80%

From 1-2 weeks to 1-2 days. Automatic consolidation of data from multiple systems. Progress reports to funders generated in real time.

Improvement in Budget Utilization

+12%

In budget execution. Early identification of underspending enabling reallocation before grant expiration.

Core Facility Optimization

40K€

Annual savings/equipment. Data-driven decisions on maintenance, renewal, or outsourcing of underutilized equipment.

Improvement in Grant Renewal Rate

+15%

In success rate. Better documentation of outputs, preliminary results, and scientific ROI for renewal applications.

Frequently Asked Questions - Research Centers

How do you integrate with our project management systems and financial ERP?

We connect to most research management systems (LabArchives, Benchling, LabGuru) and ERPs (SAP, Oracle, Workday) via REST APIs or direct database connection in read-only mode. For systems without API, we can work with scheduled exports (daily/weekly) via SFTP or S3. We also support integration with facility booking systems (iLab, LabCollector) for equipment utilization tracking.

Can you validate expense eligibility according to each funder's specific rules (NIH, ERC, etc.)?

Yes. We configure validation rules per funder based on their regulations (e.g., NIH allows 8% F&A for subcontracts, ERC does not allow permanent personnel costs of the host institution). The system automatically flags potentially ineligible expenses before execution. We maintain an updated rule library for major funders (NIH, NSF, ERC, Horizon Europe, private foundations) and can customize for funders specific to your center.

Is publication tracking automatic or does it require manual input from PIs?

Mostly automatic. We use APIs from PubMed, Scopus, Web of Science, and Crossref for automatic publication detection via ORCID, author names, and affiliations. We import complete metadata (title, journal, IF, citations, Altmetric score) without manual intervention. PIs only need to validate the correct association to grants (in cases of ambiguity) and add non-indexed outputs (e.g., posters at local conferences, technical reports). The system sends monthly alerts to each PI for quick review.

What level of granularity do the core facility dashboards have?

Granularity down to individual equipment and usage session level. For each piece of equipment we see: hours booked vs. used (detecting no-shows), usage distribution by group/project, revenue generated per facility, downtime history (preventive maintenance vs. breakdowns). Analysis of real operating cost (maintenance, consumables, technical staff, depreciation) vs. rates charged to users. Benchmarking between similar equipment to identify outliers. Replacement cost projections and make-vs-buy analysis for underutilized equipment.

How long does the initial implementation take for a center with 50+ active projects?

Typical implementation of 6-8 weeks: Weeks 1-2: Discovery and mapping of existing systems (ERP, project management, LIMS, facility booking). Weeks 3-4: Integration setup and data quality validation. Weeks 5-6: Configuration of dashboards, validation rules, and alerts according to each department's needs. Weeks 7-8: User training (PIs, admins, facility managers) and go-live with intensive support. For historical data (e.g., publications from the last 5 years) we do automatic backfill via APIs. Once in production, adding new projects or grants is immediate.

Governance System

How were these results achieved?

This organization implemented our 3-Layer Governance System

Implemented Layers:

1.Ltoyer 1: Digitalization2.Ltoyer 2: Monitoring3.Ltoyer 3: Response
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2
3

Discover how each layer connects to create a complete operational governance ecosystem

Explore the 3-Layer System

Infrastructure Optimization and Scientific Sustainability

The value of Brot in research centers is not just in the technology, but in our ability to maximize the return on scientific investment and ensure funding continuity through impeccable data-driven management. We integrate complex systems (ERP, LIMS, project management, facility booking) without the center having to change their way of working. We digitalize Layer 1 by extracting data from multiple sources, build Layer 2 with dashboards that evidence project progress, grant compliance, and resource utilization in real time, and close the cycle with Layer 3 through predictive analysis that anticipates risks in funding renewals and optimizes infrastructure decisions.

Clear Resource Optimization

Complete visibility of core facility and high-cost equipment utilization (NGS, microscopy, cytometry). Data-driven decisions on maintenance, renewal, or outsourcing that maximize ROI.

Impeccable Grant Management

Real-time tracking of spend vs. budget per grant, automatic validation of expense eligibility according to funder rules (NIH, ERC, foundations). Zero compliance findings in audits.

Scientific Impact Evidence

Automatic tracking of outputs (publications, patents, collaborations) and impact metrics. Preparation of accreditation dossiers and funding renewal in days instead of weeks.

Security and Transparency

100% EU Cloud

Infrastructure in the European Union. Your data never leaves EU territory.

GDPR Compliant

Full compliance with the General Data Protection Regulation.

No Vendor Lock-In

Grafana open-source, fully exportable data. 3-month transition period guaranteed.

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