Publication: The FAIR Guiding Principles for scientific data management and stewardship

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these Read more about Publication: The FAIR Guiding Principles for scientific data management and stewardship[…]

Publication: Pav ontology: provenance, authoring and versioning

We present the Provenance, Authoring and Versioning ontology (PAV): a lightweight ontology for capturing “just enough” descriptions essential for tracking the provenance, authoring and versioning of web resources. We argue that such descriptions are essential for digital scientific content. PAV distinguishes between contributors, authors and curators of content and creators of representations in addition to Read more about Publication: Pav ontology: provenance, authoring and versioning[…]

Publication: Improving data and knowledge management to better integrate health care and research

Once upon a time, several engineers, biologists and clinicians realized that a lot of information in biomedicine was partitioned into ‘silos’ that do not intercommunicate. These silos were a side effect of the existence of different disciplines required to, for example, develop new drugs. The engineers decided to dispose of the silos, and to put the Read more about Publication: Improving data and knowledge management to better integrate health care and research[…]