Towards a service-oriented e-infrastructure for multidisciplinary environmental research

Research e-infrastructures are considered to have generic and thematic parts. The generic part provids high-speed networks, grid (large-scale distributed computing) and database systems (digital repositories and data transfer systems) applicable to all research commnities irrespective of discipline. Thematic parts are specific deployments of e-infrastructures to support diverse virtual research communities. The needs of a virtual community of multidisciplinary envronmental researchers are yet to be investigated. We envisage and argue for an e-infrastructure that will enable environmental researchers to develop environmental models and software entirely out of existing components through loose coupling of diverse digital resources based on the service-oriented achitecture. We discuss four specific aspects for consideration for a future e-infrastructure: 1) provision of digital resources (data, models & tools) as web services, 2) dealing with stateless and non-transactional nature of web services using workflow management systems, 3) enabling web servce discovery, composition and orchestration through semantic registries, and 4) creating synergy with existing grid infrastructures

Distributed Holistic Clustering on Linked Data

Link discovery is an active field of research to support data integration in the Web of Data. Due to the huge size and number of available data sources, efficient and effective link discovery is a very challenging task. Common pairwise link discovery approaches do not scale to many sources with very large entity sets. We here propose a distributed holistic approach to link many data sources based on a clustering of entities that represent the same real-world object. Our clustering approach provides a compact and fused representation of entities, and can identify errors in existing links as well as many new links. We support a distributed execution of the clustering approach to achieve faster execution times and scalability for large real-world data sets. We provide a novel gold standard for multi-source clustering, and evaluate our methods with respect to effectiveness and efficiency for large data sets from the geographic and music domains

Bridging the gap between service provision and customer expectation

Purpose: The purpose of this paper is to serve as a reminder to all managers that they must understand their customers, from the customers’ perspective, and not make assumptions about customer needs. Design/methodology/approach: Customer Value Discovery workshops are held with undergraduate on-campus students and academic staff at Nottingham Trent University to identify customer values and irritations. Library staff participate in the workshops and vote as they expected their customers to vote. The gaps identified between staff assumptions of customer perceptions of service importance and performance serve as a catalyst for staff engagement in the change process that is necessary to deliver on the value propositions and reduce customer irritations. Findings: Library staff assumptions of customer perceptions were not always accurate. The gaps identified helped to engage staff in the change process that was necessary to improve perceptions of value and to reduce irritations. By explicitly addressing the value propositions with the aims of adding value and reducing irritation, student satisfaction with library services, as measured by two independent satisfaction surveys, improved considerably. Research limitations/implications: The research is based on two customer segments of one university library. The research should be repeated after a gap of three-four years to check if the value propositions and irritations have changed in that time. If so, the goals of the library’s operational plan would have to change to reflect the new value propositions

Semantic web service automation with lightweight annotations

Web services, both RESTful and WSDL-based, are an increasingly important part of the Web. With the application of semantic technologies, we can achieve automation of the use of those services. In this paper, we present WSMO-Lite and MicroWSMO, two related lightweight approaches to semantic Web service description, evolved from the WSMO framework. WSMO-Lite uses SAWSDL to annotate WSDL-based services, whereas MicroWSMO uses the hRESTS microformat to annotate RESTful APIs and services. Both frameworks share an ontology for service semantics together with most of automation algorithms

Staff Nurse Ratings of Implementation Self-Efficacy for EBP (ISE4EBP) and Organizational EBP Readiness

There is limited research about nurses' confidence in implementing evidence into clinical practice. The purpose of this study was to further test, refine and strengthen the Implementation Self-Efficacy for EBP (ISE4EBP) scale and gain knowledge about staff nurses' perspectives of their confidence in EBP implementation in relation to the work environment as measured by the Context Assessment Index (CAI). We proposed, higher nurses confident in implementing evidence into practice would result in higher levels of implementing evidence-based practices (EBP). Bandura's theory of self-efficacy, which postulates that task-specific self-efficacy predicts performance guided the study. In a sample of 75 registered nurses, the overall average score for the ISE4EBP scale was 63%, indicating moderate confidence in implementation strategies. This study furthered the construct validity of the ISE4EBP scale by demonstrating associations between the ISE4EBP scores with the CAI.No embargoAcademic Major: Nursin

Quality of Information in Mobile Crowdsensing: Survey and Research Challenges

Smartphones have become the most pervasive devices in people's lives, and are clearly transforming the way we live and perceive technology. Today's smartphones benefit from almost ubiquitous Internet connectivity and come equipped with a plethora of inexpensive yet powerful embedded sensors, such as accelerometer, gyroscope, microphone, and camera. This unique combination has enabled revolutionary applications based on the mobile crowdsensing paradigm, such as real-time road traffic monitoring, air and noise pollution, crime control, and wildlife monitoring, just to name a few. Differently from prior sensing paradigms, humans are now the primary actors of the sensing process, since they become fundamental in retrieving reliable and up-to-date information about the event being monitored. As humans may behave unreliably or maliciously, assessing and guaranteeing Quality of Information (QoI) becomes more important than ever. In this paper, we provide a new framework for defining and enforcing the QoI in mobile crowdsensing, and analyze in depth the current state-of-the-art on the topic. We also outline novel research challenges, along with possible directions of future work.Comment: To appear in ACM Transactions on Sensor Networks (TOSN

Identity in research infrastructure and scientific communication: Report from the 1st IRISC workshop, Helsinki Sep 12-13, 2011

Motivation for the IRISC workshop came from the observation that identity and digital identification are increasingly important factors in modern scientific research, especially with the now near-ubiquitous use of the Internet as a global medium for dissemination and debate of scientific knowledge and data, and as a platform for scientific collaborations and large-scale e-science activities.

The 1 1/2 day IRISC2011 workshop sought to explore a series of interrelated topics under two main themes: i) unambiguously identifying authors/creators & attributing their scholarly works, and ii) individual identification and access management in the context of identity federations. Specific aims of the workshop included:

• Raising overall awareness of key technical and non-technical challenges, opportunities and developments.
• Facilitating a dialogue, cross-pollination of ideas, collaboration and coordination between diverse – and largely unconnected – communities.
• Identifying & discussing existing/emerging technologies, best practices and requirements for researcher identification.

This report provides background information on key identification-related concepts & projects, describes workshop proceedings and summarizes key workshop findings