13 resultados para Digital Library Collection Development Policy


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Copyright & Risk: Scoping the Wellcome Digital Library is a comprehensive case study which assesses the merits of the risk-managed approach to copyright clearance adopted by the Wellcome Library in the course of their pilot digitisation project Codebreakers: Makers of Modern Genetics (http://wellcomelibrary.org/collections/digital-collections/makers-of-modern-genetics/#).

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This article describes an ethnographic study that was used to critically assess the links between rural development policy and practice. It does so from the novel perspective of the researcher as an employee in the organisation where the ethnography study was conducted. The article argues that this distinctive position gives rise to specific methodological issues. Particular attention is paid in the analysis to marginalised issues in reflexive practice literature, namely, the structural context. In so doing this research places at centre stage the importance of reflexivity in the field of rural sociology, an area in which to date it has had limited acceptance.

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This paper explores the interaction between rural development policy and spatial planning policies for rural housing within the context of the island of Ireland. It draws on research commissioned by the Northern Ireland Housing Executive for a high level review of its rural housing policy. The paper highlights issues of wider relevance comprising a strained relationship between rural communities and rural planning, and argues for the adoption of cultural, environmental and community values within the rural planning policy arena.

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A recent issue of EuroChoices (7:1) was devoted to a discussion of comparative US-EU rural development policies. This article discusses the concept of growth coalitions, well developed in urban literature but less so in rural literature. Some light is shed on the different positions of rural and environmental issues in EU and US policies. The agricultural lobby is the dominant actor in agricultural growth coalitions because it perceives land in terms of its exchange value. Environmental and rural development actors perceive land in terms of its use value and its contributions to quality of life: they form a rural development coalition, seeing the need to balance growth with quality of life, but they have less political power than the agricultural growth coalition. In the European context, rural and environmental agendas are linked to a multi-functional agricultural agenda allowing common ground between these two coalitions and greater visibility in the policy arena. In the US, rural interests and environmental groups are more often in opposition to agriculture. This reduces their political visibility and clout. The challenge is how to link the power of the agricultural growth coalitions with rural development coalitions to achieve a broader balance of concerns and a more effective rural development policy.

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The language of EU rural development policy appears more interested in social inclusion and that of US policy more interested in market competitiveness. We seek to determine why policies directed at rural development in the EU and the USA differ. In both contexts new rural development policies emphasize partnership and participation but we find local participation is used to promote social inclusion in the EU and market competitiveness in the USA. An examination of these dimensions illustrates important transcontinental differences and similarities in rural development policies. We explore the socio-historical reasons for differences in the commitment to social inclusion, while also noting similarities in the priority of market competitiveness.

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This paper builds on and extends previous research to contribute to ongoing discussion on the use of resource and carbon accounting tools in regional policy making. The Northern Visions project has produced the first evidence-based footpath setting out the actions that need to be taken to achieve the step changes in the Ecological and Carbon Footprint of Northern Ireland. A range of policies and strategies were evaluated using the Resources and Energy Analysis Programme. The analysis provided the first regional evidence base that current sustainable development policy commitments would not lead to the necessary reductions in either the Ecological Footprint or carbon dioxide emissions. Building on previous applications of Ecological Footprint analysis in regional policy making, the research has demonstrated that there is a valuable role for Ecological and Carbon Footprint Analysis in policy appraisal. The use of Ecological and Carbon Footprint Analysis in regional policy making has been evaluated and recommendations made on ongoing methodological development. The authors hope that the research can provide insights for the ongoing use Ecological and Carbon Footprint Analysis in regional policy making and help set out the priorities for research to support this important policy area

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Harris R. and Trainor M. (2007) Impact of government intervention on employment change and plant closure in Northern Ireland, 1983-97, Regional Studies 41, 51-63. Financial assistance to manufacturing industry is an important element of the industrial development policy in Northern Ireland. This paper uses the individual plant-level records of the Annual Respondents Database (ARD) for the Northern Ireland manufacturing sector (1983-97) matched to the plant-level details of financial support provided by the Industrial Development Board to examine the effect of selective financial assistance (SFA) on employment change and plant closure. It is found that SFA concentrated on protecting existing, rather than new, enterprises in terms of employment change. Using a hazard model, it is found that the receipt of SFA significantly reduced the probability of plant closure by, on average, between 15 and 24%.

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Much of the thinking about the appropriate ‘political economy’ to underpin sustainable development has been either utopian (as in some ‘green’ political views) or ‘business as usual’ approaches. This article suggests that ‘ecological modernisation’ is the dominant conceptualisation of ‘sustainable development’ within the UK and other ‘developed’ Northern polities and most corporate/business interests, and illustrates this by looking at some key ‘sustainable developmentpolicy documents from the UK Government. While critical of the reformist ‘policy telos’ of ecological modernisation, supporters of a more radical version of sustainable development need to also be aware of the strategic opportunities of this policy discourse. In particular, the article suggests that the discourse of ‘economic security’, which can be attached to a radicalised notion of ecological modernisation, ought to be used as a way of articulating a radical, robust and principled understanding of sustainable development, which offers a normatively compelling and policy-relevant path to outlining aspects of a ‘green political economy’ to underpin sustainable development.

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Historiographical essay and evaluation of textbooks and web-based resource for teaching slave emancipation. Published to coincide with re-launch of After Slavery website (www.afterslavery.com) in partnership with Lowcountry Digital Library, College of Charleston, SC.

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Background: Popular approaches in human tissue-based biomarker discovery include tissue microarrays (TMAs) and DNA Microarrays (DMAs) for protein and gene expression profiling respectively. The data generated by these analytic platforms, together with associated image, clinical and pathological data currently reside on widely different information platforms, making searching and cross-platform analysis difficult. Consequently, there is a strong need to develop a single coherent database capable of correlating all available data types.

Method: This study presents TMAX, a database system to facilitate biomarker discovery tasks. TMAX organises a variety of biomarker discovery-related data into the database. Both TMA and DMA experimental data are integrated in TMAX and connected through common DNA/protein biomarkers. Patient clinical data (including tissue pathological data), computer assisted tissue image and associated analytic data are also included in TMAX to enable the truly high throughput processing of ultra-large digital slides for both TMAs and whole slide tissue digital slides. A comprehensive web front-end was built with embedded XML parser software and predefined SQL queries to enable rapid data exchange in the form of standard XML files.

Results & Conclusion: TMAX represents one of the first attempts to integrate TMA data with public gene expression experiment data. Experiments suggest that TMAX is robust in managing large quantities of data from different sources (clinical, TMA, DMA and image analysis). Its web front-end is user friendly, easy to use, and most importantly allows the rapid and easy data exchange of biomarker discovery related data. In conclusion, TMAX is a robust biomarker discovery data repository and research tool, which opens up the opportunities for biomarker discovery and further integromics research.

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This paper presents a multi-agent system approach to address the difficulties encountered in traditional SCADA systems deployed in critical environments such as electrical power generation, transmission and distribution. The approach models uncertainty and combines multiple sources of uncertain information to deliver robust plan selection. We examine the approach in the context of a simplified power supply/demand scenario using a residential grid connected solar system and consider the challenges of modelling and reasoning with
uncertain sensor information in this environment. We discuss examples of plans and actions required for sensing, establish and discuss the effect of uncertainty on such systems and investigate different uncertainty theories and how they can fuse uncertain information from multiple sources for effective decision making in
such a complex system.

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Cloud data centres are critical business infrastructures and the fastest growing service providers. Detecting anomalies in Cloud data centre operation is vital. Given the vast complexity of the data centre system software stack, applications and workloads, anomaly detection is a challenging endeavour. Current tools for detecting anomalies often use machine learning techniques, application instance behaviours or system metrics distribu- tion, which are complex to implement in Cloud computing environments as they require training, access to application-level data and complex processing. This paper presents LADT, a lightweight anomaly detection tool for Cloud data centres that uses rigorous correlation of system metrics, implemented by an efficient corre- lation algorithm without need for training or complex infrastructure set up. LADT is based on the hypothesis that, in an anomaly-free system, metrics from data centre host nodes and virtual machines (VMs) are strongly correlated. An anomaly is detected whenever correlation drops below a threshold value. We demonstrate and evaluate LADT using a Cloud environment, where it shows that the hosting node I/O operations per second (IOPS) are strongly correlated with the aggregated virtual machine IOPS, but this correlation vanishes when an application stresses the disk, indicating a node-level anomaly.