Ontoverse: Collaborative Knowledge Management in the Life Sciences Network

This paper regards the two aspects of knowledge networking: data networks for information integration and social networks for information sharing in communities. The importance of ontologies as a means for effective information integration is discussed and related to the current Web 2.0 trends. The Ontoverse ontology wiki is introduced as a tool for collaborative ontology engineering and knowledge management with particular focus on interlinking the research community within the life sciences

A visual summary of the EUROCARE-4 results: a UK perspective.

BACKGROUND: This paper provides a one-page visual summary of the previously published relative survival estimates for 42 types of cancers in 23 countries in Europe. METHODS: The cancer patients in these analyses were 15 years or older at the time of their diagnosis in the period 1995-1999. Follow-up was to the end of 2003 and relative survival estimates were computed by the cohort method. RESULTS: The analysis of 1-year survival had good discriminatory power and visibly separated a group of countries with consistently high survival estimates (Switzerland, France, Sweden, Belgium and Italy) and another group of countries with lower estimates (Poland, Czech Republic, Ireland, Denmark and United Kingdom-Northern Ireland). After the first year, there was less variation between the countries. CONCLUSION: To more fully understand the UK situation, a rational comparison would select countries with data-quality, prosperity and healthcare systems that are similar to the United Kingdom. In otherwise comparable populations, a pronounced difference in 1-year survival is most likely to be due to variation in a strong prognostic factor, which exerts its effect in the short term. A likely explanation for the short-term survival deficit in the United Kingdom compared with the Nordic countries is a less favourable stage distribution in the United Kingdom. However, the present superficial analysis does not exclude possible functions for other factors relating to the organisation and quality of cancer care services

Towards actionable international comparisons of health system performance: expert revision of the OECD framework and quality indicators.

OBJECTIVE: To review and update the conceptual framework, indicator content and research priorities of the Organisation for Economic Cooperation and Development's (OECD) Health Care Quality Indicators (HCQI) project, after a decade of collaborative work. DESIGN: A structured assessment was carried out using a modified Delphi approach, followed by a consensus meeting, to assess the suite of HCQI for international comparisons, agree on revisions to the original framework and set priorities for research and development. SETTING: International group of countries participating to OECD projects. PARTICIPANTS: Members of the OECD HCQI expert group. RESULTS: A reference matrix, based on a revised performance framework, was used to map and assess all seventy HCQI routinely calculated by the OECD expert group. A total of 21 indicators were agreed to be excluded, due to the following concerns: (i) relevance, (ii) international comparability, particularly where heterogeneous coding practices might induce bias, (iii) feasibility, when the number of countries able to report was limited and the added value did not justify sustained effort and (iv) actionability, for indicators that were unlikely to improve on the basis of targeted policy interventions. CONCLUSIONS: The revised OECD framework for HCQI represents a new milestone of a long-standing international collaboration among a group of countries committed to building common ground for performance measurement. The expert group believes that the continuation of this work is paramount to provide decision makers with a validated toolbox to directly act on quality improvement strategies

Comprehensive Comparison of Various Techniques for the Analysis of Elemental Distributions in Thin Films

The present work shows results on elemental distribution analyses in Cu(In,Ga)Se2 thin films for solar cells performed by use of wavelength-dispersive and energy-dispersive X-ray spectrometry (EDX) in a scanning electron microscope, EDX in a transmission electron microscope, X-ray photoelectron, angle-dependent soft X-ray emission, secondary ion-mass (SIMS), time-of-flight SIMS, sputtered neutral mass, glow-discharge optical emission and glow-discharge mass, Auger electron, and Rutherford backscattering spectrometry, by use of scanning Auger electron microscopy, Raman depth profiling, and Raman mapping, as well as by use of elastic recoil detection analysis, grazing-incidence X-ray and electron backscatter diffraction, and grazing-incidence X-ray fluorescence analysis. The Cu(In,Ga)Se2 thin films used for the present comparison were produced during the same identical deposition run and exhibit thicknesses of about 2 μm. The analysis techniques were compared with respect to their spatial and depth resolutions, measuring speeds, availabilities, and detection limit