1000 resultados para Beveridge Report
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This quick read report provides a summary of the Technology for Employability full report. The report is the result of a study into the role of technology in developing student employability.
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This document is a report from Spotlight Data to Jisc. It describes the project findings and steps required to build a prototype journal research data policy system.
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The report provides recommendations to policy makers in science and scholarly research regarding IPR policy to increase the impact of research and make the outcomes more available. The report argues that the impact of publicly-funded research outputs can be increased through a fairer balance between private and public interest in copyright legislation. This will allow for wider access to and easier re-use of published research reports. The common practice of authors being required to assign all rights to a publisher restricts the impact of research outputs and should be replaced by wider use of a non-exclusive licence. Full access and re-use rights to research data should be encouraged through use of a research-friendly licence.
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A five year study into open access monograph publishing in humanities and social sciences
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The possibilities of digital research have altered the production, publication and use of research results. Academic research practice and culture are changing or have already been transformed, but to a large degree the system of academic recognition has not yet adapted to the practices and possibilities of digital research. This applies especially to research data, which are increasingly produced, managed, published and archived, but play hardly a role yet in practices of research assessment. The aim of the workshop was to bring experts and stakeholders from research institutions, universities, scholarly societies and funding agencies together in order to review, discuss and build on possibilities to implement the culture of sharing and to integrate publication of data into research assessment procedures. The report 'The Value of Research Data - Metrics for datasets from a cultural and technical point of view' was presented and discussed. Some of the key finding were that data sharing should be considered normal research practice, in fact not sharing should be considered malpractice. Research funders and universities should support and encourage data sharing. There are a number of important aspects to consider when making data count in research and evaluation procedures. Metrics are a necessary tool in monitoring the sharing of data sets. However, data metrics are at present not very well developed and there is not yet enough experience in what these metrics actually mean. It is important to implement the culture of sharing through codes of conducts in the scientific communities. For further key findings please read the report.
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In contrast to cost modeling activities, the pricing of services must be simple and transparent. Calculating and thus knowing price structures, would not only help identify the level of detail required for cost modeling of individual instititutions, but also help develop a ”public” market for services as well as clarify the division of task and the modeling of funding and revenue streams for data preservation of public institutions. This workshop has built on the results from the workshop ”The Costs and Benefits of Keeping Knowledge” which took place 11 June 2012 in Copenhagen. This expert workshop aimed at: •Identifying ways for data repositories to abstract from their complicated cost structures and arrive at one transparent pricing structure which can be aligned with available and plausible funding schemes. Those repositories will probably need a stable institutional funding stream for data management and preservation. Are there any estimates for this, absolute or as percentage of overall cost? Part of the revenue will probably have to come through data management fees upon ingest. How could that be priced? Per dataset, per GB or as a percentage of research cost? Will it be necessary to charge access prices, as they contradict the open science paradigm? •What are the price components for pricing individual services, which prices are currently being paid e.g. to commercial providers? What are the description and conditions of the service(s) delivered and guaranteed? •What types of risks are inherent in these pricing schemes? •How can services and prices be defined in an all-inclusive and simple manner, so as to enable researchers to apply for specific amount when asking for funding of data-intensive projects?Please
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Organised by Knowledge Exchange & the Nordbib programme 11 June 2012, 8:30-12:30, Copenhagen Adjacent to the Nordbib conference 'Structural frameworks for open, digital research' Participants in break out discussion during the workshop on cost modelsThe Knowledge Exchange and the Nordbib programme organised a workshop on cost models for the preservation and management of digital collections. The rapid growth of the digital information which a wide range of institutions must preserve emphasizes the need for robust cost modelling. Such models should enable these institutions to assess both what resources are needed to sustain their digital preservation activities and allow comparisons of different preservation solutions in order to select the most cost-efficient alternative. In order to justify the costs institutions also need to describe the expected benefits of preserving digital information. This workshop provided an overview of existing models and demonstrated the functionality of some of the current cost tools. It considered the specific economic challenges with regard to the preservation of research data and addressed the benefits of investing in the preservation of digital information. Finally, the workshop discussed international collaboration on cost models. The aim of the workshop was to facilitate understanding of the economies of data preservation and to discuss the value of developing an international benchmarking model for the costs and benefits of digital preservation. The workshop took place in the Danish Agency for Culture and was planned directly prior to the Nordbib conference 'Structural frameworks for open, digital research'
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Final report on a survey of e-assessment in the FE and Skills sector.
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Workshop Research Data Management – Activities and Challenges 14-15 November 2011, Bonn The Knowledge Exchange initiative organised a workshop to highlight current activities and challenges with respect to research data management in the Knowledge Exchange partner countries and beyond. The workshop brought together experts from data centres, libraries, computational centres, funding organisations, publishing services and other institutions in the field of research and higher education who are working to improve research data management and encourage effective reuse of research data. A considerable part of the programme was dedicated to sharing perspectives from these communities, leading to the development of a roadmap of practical actions for the Knowledge Exchange initiative, partner organisations and other stakeholders to progress over the next two years. On the first day, principal investigators and project managers from a great variety of recent projects shared their insights on objectives and methods for improving data management ranging from discipline-specific to more general approaches. A series of short presentations of selected projects was followed by an extensive poster session that functioned as a “trade fair” of current trends and activities in the field of research data management. Moreover, the poster session offered ample network opportunities for participants. The second day was dedicated to intensive group discussions looking at a number of data management challenges. First the most important findings from the "Surfboard for 'Riding the Wave'" report were presented. This included the state of the art on activities and challenges in the field of research data management. The subgroups will concentrate on the following key themes: funding, incentives, training and technical infrastructure. These discussions culminated in the identification of practical recommendations for future cooperation on practical as well as on strategic levels that should be taken forward by the KE partner organisations and beyond. These activities aim to improve the sustainability of services and infrastructures at both national and international levels.
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On 23-24 September 2009 an international discussion workshop on “Main Drivers for Successful Re-Use of Research Data” was held in Berlin, prepared and organised by the Knowledge Exchange working group on Primary Research Data. The main focus of the workshop was on the benefits, challenges and obstacles of re-using data from a researcher’s perspective. The use cases presented by researchers from a variety of disciplines were supplemented by two key notes and selected presentations by specialists from infrastructure institutions, publishers, and funding bodies on national and European level. Researchers' perspectives The workshop provided a critical evaluation of what lessons have been learned on sharing and re-using research data from a researcher’s perspective and what actions might be taken on to still improve the successful re-use. Despite the individual differences characterising the diverse disciplines it became clear that important issues are comparable. Combine forces to support re-use and sharing of data Apart from several technical challenges such as metadata exchange standards and quality assurance it was obvious that the most important obstacles to re-using research data more efficiently are socially determined. It was agreed that in order to overcome this problem more efforts should be made to rise awareness and combine forces to support re-using and sharing of research data on all levels (researchers, institutions, publishers, funders, governments).
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Underpins final report at: http://repository.jisc.ac.uk/6264/ Spreadsheet of discovered research data journal policies, collected late 2015.
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Report from the stakeholder forum which took place on 26 January 2016
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The report introduces software sustainability, provides definitions, clearly demonstrates that software is not the same as data and illustrates aspects of sustainability in the software lifecycle. The recommendations state that improving software sustainability requires a number of changes: some technical and others societal, some small and others significant. We must start by raising awareness of researchers’ reliance on software. This goal will become easier if we recognise the valuable contribution that software makes to research – and reward those people who invest their time into developing reliable and reproducible software. The adoption of software has led to significant advances in research. But if we do not change our research practices, the continued rise in software use will be accompanied by a rise in retractions. Ultimately, anyone who is concerned about the reliability and reproducibility of research should be concerned about software sustainability. Beside highlighting the benefits of software sustainability and addressing the societal and technical barriers to software sustainability, the report provides access to expertise in software sustainability and outlines the role of funders. The report concludes with a short landscape of national activities in Europe and outside Europe. As a result of the workshop steps will be explored to establish European coordination and cooperation of national initiatives.