Supporting Open Science implementation from an institutional CRIS platform

de Castro, Pablo (2020) Supporting Open Science implementation from an institutional CRIS platform. In: Pure International Conference 2020, 2020-10-27 - 2020-10-29, Virtual.

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Abstract

Due to the large amounts of research information they contain, institutional research information management systems or CRIS (Current Research Information Systems, https://en.wikipedia.org/wiki/Current_research_information_system) are uniquely placed to support research activity at universities and research centres in various different ways. One of the areas where this support for the institutional research can be most effective is the implementation of Open Science. With its current emphasis on the twin goal of Open Access and Research Data Management implementation, Open Science sits particularly well in a research information management landscape where a wealth of data is being collected on institutional publications and data. Evidence for the usefulness of CRIS systems for the implementation of Open Science was provided via an example for the institutional Pure CRIS at the University of Strathclyde in Glasgow in the paper "The role of Current Research Information Systems (CRIS) in supporting Open Science implementation : the case of Strathclyde" published in 2019 in a special issue of the ITlib journal devoted to these institutional systems, https://doi.org/10.25610/itlib-2018-0003. While retaining the Pure example at Strathclyde University as a benchmark, the presentation will expand and generalise the findings of this 2019 paper showing how different institutions use various CRIS systems – occasionally including national- or regional-level ones – for the implementation of specific aspects of Open Science and Innovation. Some emphasis will finally be made on the relevance of system interoperability to ensure cross-institutional Open Access implementation in areas such as research projects or research equipment and facilities where institutional CRIS often contain siloed information.