16,087,544 research outputs found

    Managing Research Data: Gravitational Waves

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    The project which led to this report was funded by JISC in 2010–2011 as part of its ‘Managing Research Data’ programme, to examine the way in which Big Science data is managed, and produce any recommendations which may be appropriate. Big science data is different: it comes in large volumes, and it is shared and exploited in ways which may differ from other disciplines. This project has explored these differences using as a case-study Gravitational Wave data generated by the LSC, and has produced recommendations intended to be useful variously to JISC, the funding council (STFC) and the LSC community. In Sect. 1 we define what we mean by ‘big science’, describe the overall data culture there, laying stress on how it necessarily or contingently differs from other disciplines. In Sect. 2 we discuss the benefits of a formal data-preservation strategy, and the cases for open data and for well-preserved data that follow from that. This leads to our recommendations that, in essence, funders should adopt rather light-touch prescriptions regarding data preservation planning: normal data management practice, in the areas under study, corresponds to notably good practice in most other areas, so that the only change we suggest is to make this planning more formal, which makes it more easily auditable, and more amenable to constructive criticism. In Sect. 3 we briefly discuss the LIGO data management plan, and pull together whatever information is available on the estimation of digital preservation costs. The report is informed, throughout, by the OAIS reference model for an open archive. Some of the report’s findings and conclusions were summarised in [1]. See the document history on page 37

    Managing Research Data in Big Science

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    The project which led to this report was funded by JISC in 2010--2011 as part of its 'Managing Research Data' programme, to examine the way in which Big Science data is managed, and produce any recommendations which may be appropriate. Big science data is different: it comes in large volumes, and it is shared and exploited in ways which may differ from other disciplines. This project has explored these differences using as a case-study Gravitational Wave data generated by the LSC, and has produced recommendations intended to be useful variously to JISC, the funding council (STFC) and the LSC community. In Sect. 1 we define what we mean by 'big science', describe the overall data culture there, laying stress on how it necessarily or contingently differs from other disciplines. In Sect. 2 we discuss the benefits of a formal data-preservation strategy, and the cases for open data and for well-preserved data that follow from that. This leads to our recommendations that, in essence, funders should adopt rather light-touch prescriptions regarding data preservation planning: normal data management practice, in the areas under study, corresponds to notably good practice in most other areas, so that the only change we suggest is to make this planning more formal, which makes it more easily auditable, and more amenable to constructive criticism. In Sect. 3 we briefly discuss the LIGO data management plan, and pull together whatever information is available on the estimation of digital preservation costs. The report is informed, throughout, by the OAIS reference model for an open archive

    Are research data a common resource?

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    Research Data Discovery Service Final Report

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    A project report that outlines the University of Glasgow's participation in the UK Research Data Discovery Project funded by Jisc from March 2015 to September 2016

    LSHTM Research Data Management Summary Guides

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    A set of one-page guides to good practice on various data management-related topics, including data management plans, data encryption and data sharing. These guides are CC-licensed and can be re-purposed by other institutions. Editable versions of the guides can be found in the ZIP archive

    University of Strathclyde Research Publications Guidance

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    The University of Strathclyde’s Vision 2025 strategy (2020-2025) sets out expectations for the future citation impact of Strathclyde research, as well as Strathclyde’s ambition towards ‘fully open access publishing’ and FAIR open data. This guidance therefore formalises Strathclyde’s institutional commitment to the effective management of research publications by Strathclyde researchers and, in furtherance of Strathclyde’s strategic ambitions, seeks to ensure best practice is observed by researchers when publishing and managing scholarly communication more generally. Such best practice will ensure that individual authors also benefit from maximising their potential citation impact

    Research Data Management in Natural History

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