Disease Surveillance Networks Initiative Africa: Final Evaluation

The overall objective of the Foundation's Disease Surveillance Networks (DSN) Initiative is to strengthen technical capacity at the country level for disease surveillance and to bolster response to outbreaks through the sharing of technical information and expertise. It supports formalizing collaboration, information sharing and best practices among established networks as well as trans-national, interdisciplinary and multi-sectoral efforts, and is experienced in developing and fostering innovative partnerships. In order to more effectively address disease threats, the DSN has four key outcome areas:(1) forming and sustaining trans-boundary DSN;(2) strengthening and applying technical and communication skills by local experts and institutions;(3) increasing access and use of improved tools and methods on information sharing, reporting and monitoring; and(4) emphasizing One Health and transdisciplinary approaches to policy and practice at global, regional and local levels

Joint meeting of CORE Organic Pilot Research Projects and CORE Organic Funding Body Network (8 June 2009 - Rome, Italy)

The ERA-NET CORE Organic, conducted in 2004-2007, launched 8 transnational pilot projects, funded by the participants’ funding bodies. These projects are running for the period 2007-2010 and reached their mid-term at the end of 2008. The meeting was an opportunity to present the projects and their preliminary results at mid-term, including new research needs and how research may benefit the organic sector, and to have a discussion between project coordinators, CORE Organic Funding Body Network and other participants on experiences with transnational research arising from such projects

The impact of consortia purchasing of periodical publications on the document supply service

Purpose – This paper aims to show the impact of consortia purchased periodical publications on document supply services. These services have undergone considerable changes over the last five years, first decreasing but now recovering. Design/methodology/approach – First, this paper reviews the most recent specialised literature, focusing mainly on the impact of electronic journals in libraries, their effects, and proposed actions. Second, as an example of this new behaviour, presents the document supply service data, as collected in one hospital’s health-science library in the last four years. Findings – As evidenced by the literature, the users’ acceptance of electronic journals has undoubtedly been excellent. Consortia purchasing projects have become a basic tool that expand collections, support cooperative technological development, and require negotiating skills from librarians. But these mass purchases do not seem to be the ideal solution for libraries, they entail losing freedom when choosing the collection and often make library collections homogeneous by publisher. Originality/value – Reflects on what possible causes have led to the current situation and the current way to manage the collection.Publicad

Research and Education in Computational Science and Engineering

Over the past two decades the field of computational science and engineering (CSE) has penetrated both basic and applied research in academia, industry, and laboratories to advance discovery, optimize systems, support decision-makers, and educate the scientific and engineering workforce. Informed by centuries of theory and experiment, CSE performs computational experiments to answer questions that neither theory nor experiment alone is equipped to answer. CSE provides scientists and engineers of all persuasions with algorithmic inventions and software systems that transcend disciplines and scales. Carried on a wave of digital technology, CSE brings the power of parallelism to bear on troves of data. Mathematics-based advanced computing has become a prevalent means of discovery and innovation in essentially all areas of science, engineering, technology, and society; and the CSE community is at the core of this transformation. However, a combination of disruptive developments---including the architectural complexity of extreme-scale computing, the data revolution that engulfs the planet, and the specialization required to follow the applications to new frontiers---is redefining the scope and reach of the CSE endeavor. This report describes the rapid expansion of CSE and the challenges to sustaining its bold advances. The report also presents strategies and directions for CSE research and education for the next decade.Comment: Major revision, to appear in SIAM Revie

Information Outlook, October 2003

Volume 7, Issue 10https://scholarworks.sjsu.edu/sla_io_2003/1009/thumbnail.jp

Interoperability and FAIRness through a novel combination of Web technologies

Data in the life sciences are extremely diverse and are stored in a broad spectrum of repositories ranging from those designed for particular data types (such as KEGG for pathway data or UniProt for protein data) to those that are general-purpose (such as FigShare, Zenodo, Dataverse or EUDAT). These data have widely different levels of sensitivity and security considerations. For example, clinical observations about genetic mutations in patients are highly sensitive, while observations of species diversity are generally not. The lack of uniformity in data models from one repository to another, and in the richness and availability of metadata descriptions, makes integration and analysis of these data a manual, time-consuming task with no scalability. Here we explore a set of resource-oriented Web design patterns for data discovery, accessibility, transformation, and integration that can be implemented by any general- or special-purpose repository as a means to assist users in finding and reusing their data holdings. We show that by using off-the-shelf technologies, interoperability can be achieved atthe level of an individual spreadsheet cell. We note that the behaviours of this architecture compare favourably to the desiderata defined by the FAIR Data Principles, and can therefore represent an exemplar implementation of those principles. The proposed interoperability design patterns may be used to improve discovery and integration of both new and legacy data, maximizing the utility of all scholarly outputs