Building a Fair Cost Allocation Plan for Shared Research Facilities

Shared research core facilities give universities access to specialist instruments, technical expertise, laboratories and data services that would be unaffordable for individual schools or research groups. In Australia, these facilities may support projects funded by the Australian Research Council, the National Health and Medical Research Council, Medical Research Future Fund programmes, industry partnerships and state initiatives at the same time.

The financial model must therefore do more than recover expenses. It should demonstrate stewardship of public funds, provide researchers with understandable prices, protect the long-term condition of equipment and give university executives reliable information for investment decisions. A well-designed allocation framework connects usage data, accounting policy, grant requirements and strategic priorities without making the facility so complicated that staff avoid using it.

Allocation approach	Best suited to	Main advantage	Main control required
Direct user charging	Instrument time, testing and sample processing	Clear link between activity and cost	Accurate booking and usage records
Tiered internal rates	Different user groups or service levels	Reflects subsidy and access priorities	Published eligibility rules
Full-cost recovery	Commercial work and external contracts	Protects university resources	Separate pricing and GST treatment
Annual institutional allocation	Strategic platforms with broad academic value	Provides predictable funding	Formal review of subsidy and outcomes
Hybrid model	Most complex research cores	Balances access, sustainability and policy	Integrated governance and annual reconciliation

Define The Facility And Its Services

Begin by establishing exactly what belongs within the shared core. A microscopy centre may include instruments, preparation rooms, image analysis, technical training, maintenance contracts, software licences and the staff who operate the equipment. A genomics platform may also require clean-room controls, sample accessioning, quality assurance, secure data storage and specialist bioinformatics. Each service should have a clear description and a measurable unit of output.

Avoid treating the facility as a single undifferentiated cost centre. Separate instrument access, staff-assisted work, training, consumables, sample preparation, data analysis and after-hours support where the activities have different cost drivers. A researcher booking a mass spectrometer independently should not automatically pay the same rate as a project requiring extensive technician time and method development.

The service catalogue should state who can use each service, what is included in the price, how cancellations are handled and which costs are charged separately. This is particularly important when a facility serves campuses in different locations, such as a university with operations in Sydney, Newcastle or regional New South Wales. Travel, freight and remote support can materially change the cost of delivery.

Build A Complete Cost Pool

The cost base should include expenses that are necessary to keep the facility available, not just the visible cost of running an instrument. Typical categories include salaries and on-costs, depreciation, service contracts, calibration, repairs, utilities, space, insurance, software, consumables, safety compliance, cleaning, waste disposal and administrative support.

Australian employment costs require careful treatment. Superannuation, leave loading, payroll tax where applicable, workers compensation insurance and other employment on-costs should be applied consistently rather than added informally to selected services. Finance teams should also document how GST is treated. Internal university recharges, external commercial work and grant-funded activity may have different tax and reporting implications, so the allocation model should align with institutional tax advice.

Depreciation deserves particular attention. A facility can appear financially healthy when it recovers salaries and consumables but fails to build a replacement reserve for an ageing instrument. Use the useful life approved by the university’s accounting policy, then test whether the resulting rate is sufficient for future renewal. For imported equipment, currency movements and long lead times can make replacement estimates in Australian dollars particularly important.

Space costs may be allocated by square metres, controlled-environment requirements or occupancy intensity. A standard office and a vibration-controlled laboratory should not carry identical rates simply because they occupy the same area. Where an institutional property charge is already embedded in a central budget, show it separately to prevent double charging.

Select Drivers That Reflect Real Activity

A cost driver explains why a cost changes. Instrument time may be measured by booked hours, but technician support may be driven by hands-on hours, sample numbers or project complexity. Data storage may follow terabytes and retention periods, while consumables may be allocated per sample, batch or assay. Using one hourly rate for every service often hides cross-subsidies and weakens management information.

Separate fixed and variable costs before calculating rates. Fixed costs such as base staffing, leases and essential maintenance remain even when utilisation falls. Variable costs such as reagents, disposable components and project-specific data processing rise with activity. A blended charge can still be useful for researchers, but the underlying calculation should preserve this distinction for forecasting and scenario analysis.

Estimate practical capacity rather than theoretical capacity. An instrument available for 8,760 hours a year cannot realistically be sold for that amount after accounting for maintenance, calibration, downtime, training, public holidays and booking gaps. A facility in Melbourne or Brisbane may also face seasonal demand patterns, while a regional campus may need to allow for courier schedules and longer service intervals. Using realistic utilisation protects the model from under-recovery.

Create a driver register that records the unit, data source, responsible owner and review frequency. For example, instrument hours may come from the booking system, technician time from approved timesheets and sample counts from the laboratory information system. This makes the cost allocation methodology auditable and gives managers a basis for correcting poor data quality.

Set Rates And Subsidies Transparently

After determining the cost pools and activity drivers, calculate the cost of each service unit. Then decide which costs will be recovered from users, which will be subsidised by the institution and which belong in a strategic investment budget. The decision should be explicit. A lower internal rate may support early-career researchers or priority research themes, but the subsidy should be visible rather than hidden inside an inaccurate rate.

Different user categories may justify different prices. Internal academic users, other public institutions, industry clients and overseas organisations can impose different administrative, compliance and commercial requirements. Australian universities should distinguish commercial work from research activity where relevant to funding rules, intellectual property arrangements and GST treatment. External rates should generally include costs that the institution has chosen to absorb for internal users.

Tiered pricing can improve access, but it requires firm definitions. A “member” rate, for example, should be linked to an eligible university or approved collaboration rather than applied at a staff member’s discretion. The facility should publish whether rates include technical support, consumables, data handling and instrument induction. This prevents researchers from comparing apparently similar services that have materially different inclusions.

Governance should include finance, research office, facility leadership, academic users, procurement and information technology where data services are involved. For collaborative organisations and professional networks, the association constitution can provide a useful reference for considering authority, member interests and accountable decision-making. The facility’s own terms should then define approval rights, escalation paths and responsibility for annual review.

Operate, Review And Improve The Model

Implementation begins with a controlled pilot. Select a representative group of services, load the proposed rates into the booking or finance system and compare expected revenue with actual activity. Check whether researchers understand the units, whether staff can record time without excessive administration and whether the model produces unexpected results for small projects or low-volume users.

Monthly reporting should cover utilisation, revenue, direct expenditure, subsidy, cancellations, downtime, outstanding charges and forecast replacement needs. A dashboard can show instrument hours sold against practical capacity, staff-assisted work against available hours and cost recovery by service line. Managers should investigate material variances rather than automatically increasing every rate.

Review the model at least annually and whenever a major instrument, grant arrangement, energy contract or staffing structure changes. In Australia, electricity and specialist maintenance costs can shift significantly, and procurement lead times may affect the timing of capital replacement. A rate that was reasonable in Perth or Adelaide may require adjustment after a new service contract, building move or change in local demand.

The review should distinguish between a temporary variance and a structural problem. A short-term drop in utilisation might result from an instrument outage, while repeated under-use may indicate that the service is priced incorrectly, poorly promoted or no longer aligned with research demand. Retain an approval record showing assumptions, data sources, changes and the executive authority that accepted the revised rates.

A strong framework also supports strategic decisions. If a platform consistently requires subsidy, leaders can decide whether it delivers sufficient institutional value through publications, grants, training, industry engagement or national capability. If demand exceeds capacity, the data can support investment in staff, equipment or extended operating hours instead of relying on anecdotal requests.

Effective allocation is a balance between precision and usability. Researchers need prices they can understand when preparing an ARC budget or planning an NHMRC project, while senior business officers need a model that reveals the true cost of maintaining capability. Use clear service units, realistic capacity, documented subsidies and dependable activity records to connect those needs.

Bring finance, research administration and facility teams together to approve the cost pools, test the rates with real projects and establish the first review date. Once the framework is operating, use its evidence to protect essential research infrastructure, direct subsidies where they create public value and ensure every shared facility remains financially sustainable.