963 resultados para research support, escience, e-science, e-research, eresearch, cyber-infrastructure


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Family dogs and dog owners offer a potentially powerful way to conduct citizen science to answer questions about animal behavior that are difficult to answer with more conventional approaches. Here we evaluate the quality of the first data on dog cognition collected by citizen scientists using the Dognition.com website. We conducted analyses to understand if data generated by over 500 citizen scientists replicates internally and in comparison to previously published findings. Half of participants participated for free while the other half paid for access. The website provided each participant a temperament questionnaire and instructions on how to conduct a series of ten cognitive tests. Participation required internet access, a dog and some common household items. Participants could record their responses on any PC, tablet or smartphone from anywhere in the world and data were retained on servers. Results from citizen scientists and their dogs replicated a number of previously described phenomena from conventional lab-based research. There was little evidence that citizen scientists manipulated their results. To illustrate the potential uses of relatively large samples of citizen science data, we then used factor analysis to examine individual differences across the cognitive tasks. The data were best explained by multiple factors in support of the hypothesis that nonhumans, including dogs, can evolve multiple cognitive domains that vary independently. This analysis suggests that in the future, citizen scientists will generate useful datasets that test hypotheses and answer questions as a complement to conventional laboratory techniques used to study dog psychology.

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Görzig, H., Engel, F., Brocks, H., Vogel, T. & Hemmje, M. (2015, August). Towards Data Management Planning Support for Research Data. Paper presented at the ASE International Conference on Data Science, Stanford, United States of America.

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In this chapter I focus on the EU's emerging biomedical research law and policy and examine the development of citizen science in this setting. The chapter argues that while what the analysis reveals might not be specific to the EU, attention to this organisation underlines important but often overlooked aspects of citizen science. That is, citizen science is (being) made less about promoting substantive involvement by citizens in the fashioning of biomedical trajectories and their empowerment as participants that pursue aims defined by themselves rather than others. Instead citizen science is underpinned by a more longstanding EU level approach to participation in science-based issues that sees it being harnessed, shaped and directed towards supporting the production and legitimation of organisational identity and sociotechnical order (in this case the EU’s). Within biomedical research law and policy citizen science might therefore be expected to support market-optimised biomedical futures and a dynamic internal market and economy. Citizen science is thereby implicated in the delineation of the boundaries of responsibility and accountability (and blame) for the (non-)realisation of public health priorities and objectives. In this way law and policy on participation and citizen science might support current research trajectories that do not serve all health needs.

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Aim: Active Support, an evidence-based intervention developed in the UK and tested in Australia, enables direct support professionals to engage people with high support needs in meaningful and rewarding every day activities. This paper outlines the practical details of adapting the Active Support curriculum for service providers in the US and outlines an evaluation methodology that will inform both service delivery and future developments of Active Support.

Method: Active Support curricula developed in the UK and Australia were adapted for implementation the US.Train-the-trainer activities were conducted in early 2008 in three group homes serving 12 people with intellectual or developmental disabilities. A formative evaluation process was used to identify changes in the materials and training design needed to support a randomized controlled trial of the intervention in 20 small group homes.

Results: Modifications in the delivery of training are needed to account for differences in scheduling patterns and high turnover rates in US group homes, and to adjust British/Australian terminology to the U.S. context.

Conclusions: The translation of active support into the U.S. context requires modifications to support successful implementation. Research is planned to document the success of the modified curriculum in improving outcomes for persons with disabilities.

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This paper explores the notion of the expanded image as a transdisciplinary interaction between people and environments. In support of this proposition, images and imaging will be discussed through a series of transformative steps: from the diagram to the biogram and from the biogram to biotopology. Two research projects, exemplary of a transdisciplinary approach, inform the move to biotopology (the continuous surface of interactions tied to imaging practices): first, theories of enaction in cognitive science foreground co-selective processes and the precariousness of self- organizing systems and supply new ways of imaging body-environment relationships (Stewart et al 2010; Thompson 2007; and Varela et al 1993); and second, the procedural architecture of artist- turned-architects Arakawa and Gins foregrounds the reconfigurability of the co-selective process that becomes an enactive practice. These approaches suggest that if the image were expanded to include the intersection of the human organism’s behaviors, artifacts (such as images) and built- environments, then the ‘person’ whose myriad surfaces flicker towards future action, might become the best description of an expanded form of imaging, always in process and flickering towards future action. The many and non-locatable surfaces of person would defy disciplinary boundaries and interfere with habitual patterns of imaging. Ultimately, the aim of expanding imaging practices is to expand an embodied capacity to configure and reconfigure conceptual and material realms.

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Better access to knowledge and knowledge production has to be reconsidered as key to successful individual and social mitigation and adaptation strategies for global change. Indeed, concepts of sustainable development imply a transformation of science towards fostering democratisation of knowledge production and the development of knowledge societies as a strategic goal. This means to open the process of scientific knowledge production while simultaneously empowering people to implement their own visions for sustainable development. Advocates of sustainability science support this transformation. In transdisciplinary practice, they advance equity and accountability in the access to and production of knowledge at the science–society interface. UNESCO points to advancements, yet Northern dominance persists in knowledge production as well as in technology design and transfer. Further, transdisciplinary practice remains experimental and hampered by inadequate and asymmetrically equipped institutions in the North and South and related epistemological and operational obscurity. To help identify clear, practicable transdisciplinary approaches, I recommend examining the institutional route – i.e., the learning and adaptation process – followed in concrete cases. The transdisciplinary Eastern and Southern Africa Partnership Programme (1998–2013) is a case ripe for such examination. Understanding transdisciplinarity as an integrative approach, I highlight ESAPP’s three key principles for a more democratised knowledge production for sustainable development: (1) integration of scientific and “non-scientific” knowledge systems; (2) integration of social actors and institutions; and (3) integrative learning processes. The analysis reveals ESAPP’s achievements in contributing to more democratic knowledge production and South ownership in the realm of sustainable development.

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Next generation telecommunications infrastructures are considered as a principal example of a new technology for sustainable economic growth. From their deployment it is expected that a wealth of innovations – hopefully converted into economic growth – new sources of employment and improved quality of life will result. In line with these prospects, public administrations at supranational, national, regional and local levels have encouraged the development of these new infrastructures. Moreover, in times of economic crisis, public assistance to deploy such networks encompasses the promise of placing a weak economy on the road to prosperity. However, such arguments and political claims clearly require rigorous assessment. In particular, any such assessment must adequately address the appropriate form of modelling that best captures key elements for identifiable progress from next generation access networks (NGAN).

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The integration of scientific knowledge about possible climate change impacts on water resources has a direct implication on the way water policies are being implemented and evolving. This is particularly true regarding various technical steps embedded into the EU Water Framework Directive river basin management planning, such as risk characterisation, monitoring, design and implementation of action programmes and evaluation of the "good status" objective achievements (in 2015). The need to incorporate climate change considerations into the implementation of EU water policy is currently discussed with a wide range of experts and stakeholders at EU level. Research trends are also on-going, striving to support policy developments and examining how scientific findings and recommendations could be best taken on board by policy-makers and water managers within the forthcoming years. This paper provides a snapshot of policy discussions about climate change in the context of the WFD river basin management planning and specific advancements of related EU-funded research projects. Perspectives for strengthening links among the scientific and policy-making communities in this area are also highlighted.

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The purpose of this study is multifaceted: 1) to describe eScience research in acomprehensive way; 2) to help library and information specialists understand the realm of eScience research and the information needs of the community and demonstrate the importance of LIS professionals within the eScience domain; 3) and to explore the current state of curricular content of ALA accredited MLS/MLIS programs to understand the extent to which they prepare new professionals within eScience librarianship. The literature review focuses heavily on eScientists and other data-driven researchers’ information service needs in addition to demonstrating how and why librarians and information specialists can and should fulfill these service gaps and information needs within eScience research. By looking at the current curriculum of American Library Association (ALA) accredited MLS/MLIS programs, we can identify potential gaps in knowledge and where to improve in order to prepare and train new MLS/MLIS graduates to fulfill the needs of eScientists. This investigation is meant to be informative and can be used as a tool for LIS programs to assess their curriculums in comparison to the needs of eScience and other data-driven and networked research. Finally, this investigation will provide awareness and insight into the services needed to support a thriving eScience and data-driven research community to the LIS profession.

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Computer science studies possess a strong multidisciplinary aptitude since most graduates do their professional work outside of a computing environment, in close collaboration with professionals from many different areas. However, the training offered in computer science studies lacks that multidisciplinary factor, focusing more on purely technical aspects. In this paper we present a novel experience where computer studies and educational psychology find a common ground and realistic working through laboratory practices. Specifically, the work enables students of computer science education the development of diagnosis support systems, with artificial intelligence techniques, which could then be used for future educational psychologists. The applications developed by computer science students are the creation of a model for the diagnosis of pervasive developmental disorders (PDD), sometimes also commonly called the autism spectrum disorders (ASD). The complexity of this diagnosis, not only by the exclusive characteristics of every person who suffers from it, but also by the large numbers of variables involved in it, requires very strong and close interdisciplinary participation. This work demonstrates that it is possible to intervene in a curricular perspective, in the university, to promote the development of interpersonal skills. What can be shown, in this way, is a methodology for interdisciplinary practices design and a guide for monitoring and evaluation. The results are very encouraging since we obtained significant differences in academic achievement between students who attended a course using the new methodology and those who did not use it.

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Overview of the growth of policies and a critical appraisal of the issues affecting open access, open data and open science policies. Example policies and a roadmap for open access, open research data and open science are included.