PAV is a lightweight ontology for tracking Provenance, Authoring and Versioning. PAV specializes the W3C provenance ontology PROV-O in order to describe authorship, curation and digital creation of online resources.
Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scientific data. The Dataset Descriptions specification describes a consensus among participating stakeholders in health care and the life sciences domain on the description of datasets using the Resource Description Framework (RDF). The reuses existing vocabularies to that extent that it is possible, and… Read more »
Minimum Information Checklists (MICs) exist primarily in the Life Sciences as a means of describing a required set of data and metadata in the reporting of a particular class of experiment or type of data. The Biosharing initiative for example currently lists 60+ checklists detailing the report requirements for wide array of Biological experimental data. The motivation… Read more »
Provenance is information about entities, activities, and people involved in producing a piece of data or thing, which can be used to form assessments about its quality, reliability or trustworthiness. The PROV Family of Documents defines a model, corresponding serializations and other supporting definitions to enable the inter-operable interchange of provenance information in heterogeneous environments… Read more »
The IPython Notebook is a web-based interactive computational environment where you can combine code execution, text, mathematics, plots and rich media into a single document: These notebooks are normal files that can be shared with colleagues, converted to other formats such as HTML or PDF, etc. You can share any publicly available notebook by… Read more »
Nano publications provides a model and vocabulary for describing a scientific statement – along with the context for that statement – in a machine readable manner. From nanopub.org: A publication is the smallest unit of publishable information: an assertion about anything that can be uniquely identified and attributed to its author. Individual nanopublications can… Read more »
VIVO is an open source application implementing semantic web principles and technologies to represent academic research communities. When populated with researcher interests, activities, and accomplishments, VIVO enables the discovery of research and scholarship across disciplines at one institution or across many. The Integrated Semantic Framework ontology modules for VIVO (the VIVO-ISF ontology) provide a set of types… Read more »