The OBO Foundry is a collaborative experiment involving developers of science-based ontologies who are establishing a set of principles for ontology development with the goal of creating a suite of orthogonal interoperable reference ontologies in the biomedical domain. The groups developing ontologies who have expressed an interest in this goal are listed below, followed by other relevant efforts in this domain.
In addition to a listing of OBO ontologies, this site also provides a statement of the OBO Foundry principles, discussion fora, technical infrastructure, and other services to facilitate ontology development.
The OBO Foundry is a collaborative experiment involving developers of science-based ontologies who have established a set of principles for ontology development with the goal of creating a suite of orthogonal interoperable reference ontologies in the biomedical domain. Currently the OBO Foundry ontologies form a part of the wider Open Biomedical Ontologies family, as listed below. In the longer term it is intended that the OBO Foundry will form one collection of ontologies alongside other such collections within the NCBO Bioportal.
Subscription models make publishers insist on controlling access to research they didn't perform, write up, or fund. They act like a midwives who insist on keeping (or hiding, or performing surgery on) other folks' babies.
"Academic literature should be freely available: developing countries need access; part time ... thinkers ... journalists and the public can benefit; ... you’ve already paid for much of this stuff with your taxes ... important new ideas from humanity"
Leading academics in fields as diverse as biology, computer science, and law have spoken out and taken action for “open access” which includes novel publishing models that do not set up barriers to access, models where neither Wiley nor Elsevier nor e
Vast improvements in raw computing power, storage capacity, algorithms, and networking capabilities have led to fundamental scientific discoveries inspired by a new generation of computational models . . .Powerful 'data mining' techniques operating across
Peer review, originally to filter out unreasonable claims, now focuses on the marketable value of a manuscript. Open access journals should return the focus to academic, not commercial, criteria.