In a nutshell
Among the many things researchers have to do are (1) stay up-to-date in their field (2) develop name recognition as an expert. We aim to help with both at the same time.
Bims is organized as a series of topic-specific reports. Each report is curated by a selector. Each week we make new PubMed papers available to selectors. By default, it's 7% of the new papers added to PubMed, something between 1000 and 2000 papers. Each selector decides what papers go into the report. We sound like a masochist's idea of fun. And probably the first time it is. But after that the system uses machine learning. Each week, it gets better at knowing what the selector wants.
When you become a selector, you will quickly realize that our machine-learning based relevance order is more flexible and more precise than PubMed searches. Reports issues can be freely circulated to user communities. When we get our own server we will start building email distribution lists.
Type of project
The Open Library Society, Inc.
Goals and intentions
We aim to disseminate biomedical information through regularly scheduled subject specific reports. We want a system for fast dissemination of research results. We want to promote high quality research by having expert reviewers. At this time, Biomed news is based on PubMed.
At this time, our reports are mainly geared to the academic and research communities. This does not have to be the case. PubMed has a lot of papers of more general interest. We can for example think of reports aimed at medical doctors, that filter for papers that have clinical relevance. Such reports may be run by MDs who normally don't do any research. We can think of reports aimed at patients that filter for advice on how to cope with a disease. Such reports may be run by patients, who have no prior biomedical training.
Functions of the project
What is reviewed
Review of data or code