BibSonomy ::  user :: pitman ::

The Biomedical Informatics Research Network (BIRN) is a geographically distributed virtual community of shared resources offering tremendous potential to advance the diagnosis and treatment of disease. BIRN enhances the scientific discoveries of biomedical scientists and clinical researchers across research disciplines. BIRN ... * hosts a collaborative environment rich with tools that permit uniform access to hundreds of researchers, enabling cooperation on multi-institutional investigations. * synchronizes developments in wide area networking, multiple data sources, and distributed computing. * designs, tests, and releases new integrative software tools that enable researchers to pose questions and share knowledge across multiple animal models (mouse, human, and non-human primate). * receives funding from the National Institutes of Health's National Center for Research Resources (NCRR), established in 2001.

Discover more than one million documents from scholarly journals, magazines, conference proceedings, and other special publications from prestigious scientific societies and technical publishers.

Clickstream Data Yields High-Resolution Maps of Science Johan Bollen1*, Herbert Van de Sompel1, Aric Hagberg2#, Luis Bettencourt2,3#, Ryan Chute1#, Marko A. Rodriguez2, Lyudmila Balakireva1 1 Digital Library Research and Prototyping Team, Research Library, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America, 2 Theoretical Division, Mathematical Modeling and Analysis Group, and Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America, 3 Santa Fe Institute, Santa Fe, New Mexico, United States of America Abstract Background Intricate maps of science have been created from citation data to visualize the structure of scientific activity. However, most scientific publications are now accessed online. Scholarly web portals record detailed log data at a scale that exceeds the number of all existing citations combined. Such log data is recorded immediately upon publication and keeps track of the sequences of user requests (clickstreams) that are issued by a variety of users across many different domains. Given these advantages of log datasets over citation data, we investigate whether they can produce high-resolution, more current maps of science.

Eigenfactor is a non-commercial academic research project by the Bergstrom lab in the Department of Biology at the University of Washington. The goal is to map the structure of science. Together, we are developing different visualizations based on citation patterns between scientific journals.

STERNA (Semantic Web-based Thematic European Reference Network Application) is the contribution of twelve European natural history museums and other institutions that collect and hold content on biodiversity, wildlife and nature in general, to the objectives and realisation of a European Digital Library. The project specifically addresses the many small cultural heritage institutions and content providers that want to actively participate and contribute to the European Digital Library initiative but lack both technical skills and financial resources to do so. To help content providers to make their valuable and rich resources available to a wider audience, our vision is to create a dispersed and networked information space, supported and sustained by a member network of autonomous content organisations which serves users with a special interest in nature and wildlife worldwide.

* What do I need to set up RSS feeds within Web of Knowledge? * Can I incorporate the RSS feeds into a website? * What types of users would benefit from adding RSS feeds to their websites? * How do I set up an RSS feed? * Do I need to have an email alert set up in Web of Knowledge? * How do I renew/cancel my RSS feed? * How many results can I receive in my RSS feeds? * What data fields/elements are included in Web of Knowledge RSS feeds?

Florence Nightingale: The passionate statistician She pioneered the use of applied statistics to develop policy and developed novel ways of displaying them. By Julie Rehmeyer Web edition : Wednesday, November 26th, 200

Collexis High Definition Search enables fast, accurate and extraordinary knowledge retrieval and discovery quickly and accurately by utilizing fingerprinting technology. The Collexis Fingerprint empowers users to identify and search for documents, experts, trends, and new discoveries more quickly, precisely – and thoroughly – than conventional search engines. For users, the savings in research dollars are extraordinary. High Definition Search positions Collexis as a world leader in the vital area of knowledge management and discovery software.

OpenWetWare is an effort to promote the sharing of information, know-how, and wisdom among researchers and groups who are working in biology & biological engineering.

The expert guide to the most important advances in biology Explore the site to see which papers our Faculty of over 2000 world leading scientists have selected.

* Gobbledygook Martin Fenner's blog on scientific publishing in the internet age. o How do you read papers? Date: Sunday, 02 Nov ember 2008 Working in science is as much about reading papers as it is about writing papers. There are usually two ways you can come across an interesting scientific paper: + Active Searching. Literature search on a particular topic + Passive Browsing. Scanning the literature in regular intervals for papers of interest The focused active search is typically used when you collect information for a research project or write a paper or grant proposal. This is stuff for another blog post and can be better explained by a science librarian like Oliver Obst or Frank Norman. Now I want to talk about different ways to keep track of the current literature in your field. I would assume that most if not all people involved in science do this in one way or another, and I also think that many people are struggling with the best strategy (see Richard’s related post on this topic: Too many fish in the sea).