56,259 research outputs found

    Safe to Be Open: Study on the Protection of Research Data and Recommendations for Access and Usage

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    Openness has become a common concept in a growing number of scientific and academic fields. Expressions such as Open Access (OA) or Open Content (OC) are often employed for publications of papers and research results, or are contained as conditions in tenders issued by a number of funding agencies. More recently the concept of Open Data (OD) is of growing interest in some fields, particularly those that produce large amounts of data – which are not usually protected by standard legal tools such as copyright. However, a thorough understanding of the meaning of Openness – especially its legal implications – is usually lacking. Open Access, Public Access, Open Content, Open Data, Public Domain. All these terms are often employed to indicate that a given paper, repository or database does not fall under the traditional “closed” scheme of default copyright rules. However, the differences between all these terms are often largely ignored or misrepresented, especially when the scientist in question is not familiar with the law generally and copyright in particular – a very common situation in all scientific fields. On 17 July 2012 the European Commission published its Communication to the European Parliament and the Council entitled “Towards better access to scientific information: Boosting the benefits of public investments in research”. As the Commission observes, “discussions of the scientific dissemination system have traditionally focused on access to scientific publications – journals and monographs. However, it is becoming increasingly important to improve access to research data (experimental results, observations and computer-generated information), which forms the basis for the quantitative analysis underpinning many scientific publications”. The Commission believes that through more complete and wider access to scientific publications and data, the pace of innovation will accelerate and researchers will collaborate so that duplication of efforts will be avoided. Moreover, open research data will allow other researchers to build on previous research results, as it will allow involvement of citizens and society in the scientific process. In the Communication the Commission makes explicit reference to open access models of publications and dissemination of research results, and the reference is not only to access and use but most significantly to reuse of publications as well as research data. The Communication marks an official new step on the road to open access to publicly funded research results in science and the humanities in Europe. Scientific publications are no longer the only elements of its open access policy: research data upon which publications are based should now also be made available to the public. As noble as the open access goal is, however, the expansion of the open access policy to publicly funded research data raises a number of legal and policy issues that are often distinct from those concerning the publication of scientific articles and monographs. Since open access to research data – rather than publications – is a relatively new policy objective, less attention has been paid to the specific features of research data. An analysis of the legal status of such data, and on how to make it available under the correct licence terms, is therefore the subject of the following sections

    Reverse-engineering of architectural buildings based on an hybrid modeling approach

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    We thank MENSI and REALVIZ companies for their helpful comments and the following people for providing us images from their works: Francesca De Domenico (Fig. 1), Kyung-Tae Kim (Fig. 9). The CMN (French national center of patrimony buildings) is also acknowledged for the opportunity given to demonstrate our approach on the Hotel de Sully in Paris. We thank Tudor Driscu for his help on the English translation.This article presents a set of theoretical reflections and technical demonstrations that constitute a new methodological base for the architectural surveying and representation using computer graphics techniques. The problem we treated relates to three distinct concerns: the surveying of architectural objects, the construction and the semantic enrichment of their geometrical models, and their handling for the extraction of dimensional information. A hybrid approach to 3D reconstruction is described. This new approach combines range-based modeling and image-based modeling techniques; it integrates the concept of architectural feature-based modeling. To develop this concept set up a first process of extraction and formalization of architectural knowledge based on the analysis of architectural treaties is carried on. Then, the identified features are used to produce a template shape library. Finally the problem of the overall model structure and organization is addressed

    Girls in Mining: Research Findings from Ghana, Niger, Peru, and United Republic of Tanzania

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    [Excerpt] Research carried out by the International Labour Organization’s International Programme on the Elimination of Child Labour (ILO–IPEC) between April and December 2006 has produced evidence that girls as well as boys are involved in hazardous work in the small-scale mining industry. Due to the fact that boys are statistically more likely to be involved in hazardous child labour than girls, 1 the appalling work of girls is often overlooked. In the small-scale mining industry especially, little is understood about the roles and activities of girls and the effect that this has on their lives and livelihoods. Not much is known of the dynamics that brought them into this type of employment and consequently what could lead them out of it. The issue of girl child labour in mining is largely unknown, it is often not fully recognized by the law, and missed by the intervention services and the media. New evidence presented in this paper challenges the general understanding of gender roles in small-scale mining communities. It forces us to acknowledge a more intricate reality for boys and girls as the evidence shows that the involvement of girl child labour in mining is much more frequent and far-reaching than was previously recognized. The assumption that girls are only involved in prostitution and domestic work is incorrect; girls are involved in tasks related to the extraction, transportation and processing stages of mining as well as in other mining-related jobs such as selling food and supplies to the miners. The gender balance appears to be shifting. Girls are involved in more and more hazardous occupations deeper into the interiors of the mine, but at the same time they are also upheld to their traditional female responsibilities in the home. The result is that girls in mining communities are forced to juggle their domestic tasks with other paid or non-paid work. Often, girls are performing just as hazardous tasks as boys, working longer hours, with a greater workload and often have a lesser chance of schooling, withdrawal or rehabilitation

    The Robust Reading Competition Annotation and Evaluation Platform

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    The ICDAR Robust Reading Competition (RRC), initiated in 2003 and re-established in 2011, has become a de-facto evaluation standard for robust reading systems and algorithms. Concurrent with its second incarnation in 2011, a continuous effort started to develop an on-line framework to facilitate the hosting and management of competitions. This paper outlines the Robust Reading Competition Annotation and Evaluation Platform, the backbone of the competitions. The RRC Annotation and Evaluation Platform is a modular framework, fully accessible through on-line interfaces. It comprises a collection of tools and services for managing all processes involved with defining and evaluating a research task, from dataset definition to annotation management, evaluation specification and results analysis. Although the framework has been designed with robust reading research in mind, many of the provided tools are generic by design. All aspects of the RRC Annotation and Evaluation Framework are available for research use.Comment: 6 pages, accepted to DAS 201
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