2,475,725 research outputs found

    The Management of Metrics: Globally agreed, unique identifiers for academic staff are a step in the right direction.

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    The Metric Tide report calls for research managers and administrators to champion the use of responsible metrics within their institutions. Simon Kerridge looks at greater detail at specific institutional actions. Signing up to initiatives such as the San Francisco Declaration on Research Assessment (DORA) is a good start. Furthermore, by mandating unique and disambiguated identifiers for academic staff, like ORCID iDs, links between researchers, projects (and outputs) will become more robust

    Open access for REF2020

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    Open access (OA) may have been the ‘big thing’ in 2013 but the OA juggernaut is still rolling and plans are now afoot for the requirements for the ‘next REF’ (which from now on we will refer to as REF2020). In 2013, on behalf of the four UK Funding Councils, the Higher Education Funding Council for England (HEFCE) undertook a two-stage consultation exercise on open access requirements for articles submitted to REF2020. There are a number of nuances and caveats to the current proposals. This article will reflect on what the probable rules might be, and their implications for research managers, administrators and institutional repository managers alike

    Hitting the QR sweet spot: will new REF2021 rules lead to a different kind of game-playing?

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    Today marks 999 days until the expected deadline for submissions to REF 2021. Universities' preparations are already well under way, with additional guidance published last autumn in the form of new REF rules designed to reduce game-playing behaviours among institutions. However, as Simon Kerridge observes, the rule changes may have introduced, or rather enhanced, some hidden dangers around universities' FTE and impact submissions. Projections in funding allocation demonstrate why submitting institutions might be given pause for thought, with the driver for excluding staff to stay below an impact case study threshold possibly even higher than last time

    Charlie May Simon materials

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    This collection contains materials relating to Arkansas author Charlie May Simon

    Beat Soundtrack #33: Simon A. Morrison

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    Dr Simon A. Morrison is interviewed for Rock & The Beat Generation about the relationship between the Beat and Rave scenes.N/

    Kerridge, R S, QX37426

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    This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/397024Surname: KERRIDGE. Given Name(s) or Initials: R S. Military Service Number or Last Known Location: QX37426. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 50195.234189 Item: [2016.0049.29317] "Kerridge, R S, QX37426

    Quantum behaviour of hydrogen and muonium in vacancy-containing complexes in diamond

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    Most solid-state electronic structure calculations are based on quantum electrons and classical nuclei. These calculations either omit quantum zero-point motion and tunnelling, or estimate it in an extra step. Such quantum effects are especially significant for light nuclei, such as the proton or its analogue, μ+. We propose a simple approach to including such quantum behaviour, in a form readily integrated with standard electronic structure calculations. This approach is demonstrated for a number of vacancy-containing defect complexes in diamond. Our results suggest that for the NHV- complex, quantum motion of the proton between three equivalent potential energy minima is sufficiently rapid to time-average measurements at X-band frequencies

    Consistent HMM parameter estimation using Kerridge inaccuracy rates

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    In this paper, we propose a novel online hidden Markov model (HMM) parameter estimator based on Kerridge inaccuracy rate (KIR) concepts. Under mild identifiability conditions, we prove that our online KIR-based estimator is strongly consistent. In simulation studies, we illustrate the convergence behaviour of our proposed online KIR-based estimator and provide a counter-example illustrating the local convergence properties of the well known recursive maximum likelihood estimator (arguably the best existing solution)

    Research Administration as a Profession (RAAAP) - a snapshot of research administrators and their skills from around the world.

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    Abstract The Research Administration As A Profession (RAAAP) project is funded under the NCURA Research Program for the period February 2016 through January 2018. It is led by Simon Kerridge, University of Kent and Stephanie F. Scott, Columbia University. The project has surveyed research administrators worldwide to a) give a global snapshot of the profession, and b) determine those skills which are most sought after in research administration leaders. The aim being to provide leaders with guidance on how best to support and develop their staff in their careers, and for junior staff to be able to map their own professional development. The online questionnaire survey was open during the late spring and summer of 2016 and closed on 7th September 2016. We asked a number of associations around the work to canvass their members on our behalf, and are grateful to ACU (Commonwealth), ARMA (UK), ARMS (Australasia), BRAMA (Brazilian), CARA (Canadian), EARMA* (European), NCURA (USA), NORDP (USA), RMAN-J (Japanese), SARIMA (Southern African), SRAI (USA), and WARIMA (Western African) for reaching out to their a combined membership of approximately 20,000. It should be noted that EARMA cascaded this to other members of the Leiden Group (including the Austrian, Danish, Finnish, German, Icelandic, and Norwegian associations) of European associations of research managers and administrators. Overall 2,691 responses were received, including 941 from the USA, 243 from Canada, 453 from the UK, 339 from the rest of Europe, 336 from Oceania, and 185 from other countries around the world. Each completed response provided us with 282 data points aimed at answering the two questions. The poster will provide graphics and charts summarising and discussing our main findings. Simon Kerridge, Director of Research Services, University of Kent, UK Stephanie F Scott, Director of Communications and Outreach, Columbian University, NY, US
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