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Research Evaluation Supported by Automation. Keith G J effery President, euroCRIS k eith.jeffery@stfc.ac.uk. Why Research Evaluation. To protect from erroneous information / knowledge; To demonstrate value for money from public funding; To compare performance of research institutions;
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Research Evaluation Supported by Automation Keith G Jeffery President, euroCRIS keith.jeffery@stfc.ac.uk euroCRIS Seminar 2010
Why Research Evaluation To protect from erroneous information / knowledge; To demonstrate value for money from public funding; To compare performance of research institutions; To compare judgement of proposal review process in different funding organisations; To promote the research outputs achieved; euroCRIS Seminar 2010
Kinds of Research Evaluation • The Research Grants process • Evaluation of proposals submitted for funding • Evaluation of research outputs from funded projects • The Research Communication process • Evaluation of scholarly publications submitted • The Formal Evaluation • Evaluation of research grant income • Evaluation of research outputs (particularly publications but also products and patents) • Evaluation of contribution(s) to academic communities euroCRIS Seminar 2010
How Research Evaluation • Commonly an intensive manual process involving • The funding organisation(s) defining a template • The research institutions struggling to locate, collate and present the information • Along the way making strategic decisions on whom and what to include and within which category to place the work • The funding organisations setting up evaluation panels which effectively re-peer-review the submissions • Leading to allocation of funding euroCRIS Seminar 2010
Cost of Research Evaluation • According to PA Consulting the cost of UK RAE2008 was > £47m • A recent report for JISC in UK estimates that with automation this can be reduced by at least 25% • According to PA Consulting the cost of UK submission and monitoring of research grants is £85m p.a. • A recent report for JISC estimates that with automation this can be reduced by 33% euroCRIS Seminar 2010
The Automation • The JISC-funded EXRI study recommended CERIF for research information in UK • A group representing universities, research funders, Higher education authority, research managers, charities convened and approved the recommendation of CERIF for research information in UK • The major automation envisaged is CERIF for • Making returns for research evaluation • Managing the research grant process • But there are additional benefits in managing research • Publicity and outreach including to innovators • Research collaborations • Finding reviewers • Strategic decision-making euroCRIS Seminar 2010
The message From the JISC Report: • For any given institution the minimal annualised savings of owning a modern CRIS using CERIF or a CERIF wrapper can be expressed as: • (X*225)+(y*3200) • Where • X is the number of researchers to be submitted to the REF and • Y is the number of grant applications per annum to Research Councils. • Using a typical institution with 1000 researchers and 1000 grant applications this gives the minimal saving as £3.4m per institution per annum • Balanced against the savings is the cost of either a CERIF wrapper (£13,000) or CERIF CRIS (£10,450 - £20,880) per annum • Which, frankly, is ‘lost in the noise’ of the benefit euroCRIS Seminar 2010
What Automation • Many research institutions have a mix of systems: HR, Finance, webpages, institutional repository • Some have a Research Information Management function – commonly by linking together heterogeneous systems • Some have such a function by using a CRIS - and of those many have a CERIF-CRIS • More organisations specify CERIF for their CRIS • ESF, ERC... Several UK universities euroCRIS Seminar 2010
Benefits of Automated Evaluation • Research Institution • Reduced cost • Increased accuracy • Information available for other purposes • Research Funder • Reduced cost • Increased accuracy • Information available for other purposes euroCRIS Seminar 2010
Benefits of Automated Evaluation • A clear transparent, reproducible process for evaluation: • Based on open data that should already exist in a well-managed research institution • Using algorithms not human opinions • Thus providing the public with assurance of research output quality and value for money from research funding euroCRIS Seminar 2010