TY - JOUR T1 - A universal metric for evaluating, optimising and benchmarking the performance of a Research Technology Platform (RTP) JF - bioRxiv DO - 10.1101/133207 SP - 133207 AU - A.M. Petrunkina AU - A. Filby Y1 - 2017/01/01 UR - http://biorxiv.org/content/early/2017/05/02/133207.abstract N2 - Research Technology Platforms (RTPs) exist to facilitate the application and utilisation of specific analytical technologies to the highest possible standard thus delivering reputable data across a broad spectrum of research themes. Specifically, RTPs centralise expertise in a given technology and provide an unparalleled level of continuity and practical knowledge retention that simply cannot be achieved by more organic, ad hoc means of support. As small non profit businesses often tasked with recovering all or a percentage of their running costs, RTPs are under significant pressure to keep pace with rapidly advancing technology and new methodologies against a back drop of dwindling funding for scientific research. At present there are a number of non-trivial issues that make assessing the operational performance of a RTP difficult to determine on a standalone basis let alone attempting to benchmark against other RTPs within the same or different technology fields. Firstly, depending on the technological speciality the RTP may work to one of essentially three operational models. RTPs such as Bio-Imaging or Cytometry provide access to well-maintained analytical systems that can be utilised by trained individuals for a timed access charge. In some cases there will be a requirement for assisted operation of certain instruments by core staff (e.g. cell sorters). Genomics and Proteomics RTPs tend to function on a project basis whereby users will not access the technology themselves rather pay for a full analytical service often with a milestone-based approach for tracking progress. Other RTPs work to a hybrid approach were technical staff provide certain elements of sample preparation for specific projects prior to analysis on core supported, user accessible instrumentation. Secondly the specific operational costs that each RTP is tasked to recover varies significantly on a local, national and international level due to institutional subsidies. These operational costs can include staff salaries, instrument maintenance, associated running consumables, and in some cases instrument depreciation but there is standardised rule as to what each RTP is tasked to recover and to what percentage.Here we present a generalised mathematical approach to describe the customisable metrics of any given RTP serviceThe general strategy how to increase performance within the framework of this approach has been identified through breaking down these customisable metrics into components and maximising them according to specific requirements. These strategies could be potentially adopted for different operational or local procedures, integrating the specifics related to the institutional or national policies. The approach laid down here should be considered as a trigger for opening a discussion around how to address optimising RTP performance and allow for benchmarking across the full breadth of RTPs. ER -