Find open-source science resources

This describes the metadata schema for the Gene Product Information (GPI) files in the Gene Ontology, i.e., the local unique identifiers in this identifier space refer to the columns in GPI files.

GNPS is a web-based mass spectrometry ecosystem that aims to be an open-access knowledge base for community-wide organization and sharing of raw, processed, or annotated fragmentation mass spectrometry data (MS/MS)

The Genome Aggregation Database (gnomAD) is a resource developed by an international coalition of investigators, with the goal of aggregating and harmonizing both exome and genome sequencing data from a wide variety of large-scale sequencing projects, and making summary data available for the wider scientific community (from https://gnomad.broadinstitute.org).

The Gmelin database is a large database of organometallic and inorganic compounds updated quarterly. It is based on the German publication Gmelins Handbuch der anorganischen Chemie which was originally published by Leopold Gmelin in 1817; the last print edition, the 8th, appeared in the 1990s.

A database to support glycobiology and glycomics research. Its main focus is on 3D structures, including 3D structure models as well as references to PDB entries that feature carbohydrates.

Comprehensive reference information for the world's languages, especially the lesser known languages. [from homepage]

A pull request in any public repository on GitHub.

An issue in any public repository on GitHub.

MedlinePlus Genetics contains detailed information about the effects of genetic variation on human health, covering more than 1,300 genetic conditions and 1,400 genes, all of the human chromosomes, and mitochondrial DNA (mtDNA).

The submission-centric metadata schema for the German Human Genome-Phenome Archive (GHGA).

The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas.

The Getty Thesaurus of Geographic Names (TGN) is a structured vocabulary, including names, descriptions, and other metadata for extant and historical cities, empires, archaeological sites, and physical features important to research of art and architecture. TGN may be linked to GIS (Geographical Information System), maps, and other geographic resources. [from https://collectionstrust.org.uk/resource/thesaurus-of-geographic-names-tgn-getty/]

The Getty Iconography Authority ™ (IA), Cultural Objects Name Authority ® (CONA), the Union List of Artist Names ® (ULAN), the Art & Architecture Thesaurus ® (AAT), the Getty Thesaurus of Geographic Names ® (TGN) are structured resources that can be used to improve access to information about art, architecture, and other material culture. The Vocabularies are not simply 'value vocabularies,' but knowledge bases. Through rich metadata and links, the Getty Vocabularies provide powerful conduits for knowledge creation, complex research, and discovery for digital art history and related disciplines. [from https://www.getty.edu/research/tools/vocabularies/cona/about.html#purpose_ia]

The GVP Ontology defines classes, properties and values (skos:Concepts) used in GVP LOD. As of version 3.0, it is complete regarding AAT, TGN and ULAN, and will be extended in time with more elements needed for other GVP vocabularies (CONA).

CONA compiles titles, attributions, depicted subjects, and other metadata about works of art, architecture, and cultural heritage, both extant and historical, physical and conceptual. Metadata is gathered and linked from museum collections, special collections, archives, libraries, scholarly research, and other sources. CONA is linked to the AAT, TGN, ULAN, and the IA (Iconography Authority). Through rich metadata and links, CONA may provide a powerful conduit for research and discovery for digital art history. [from homepage]

The AAT includes generic terms, and associated dates, relationships, and other rich information about concepts related to or required to catalog, discover, and retrieve information about art, architecture, and other visual cultural heritage, including related disciplines such as archaeology and conservation. Visual works include not only visual cultural works classified as "art" according to Western aesthetics, but also utilitarian and ceremonial works. Terminology may be used for work types, roles, materials, styles, cultures, techniques, subject, etc., so long as terms are within the defined scope of AAT. [from https://www.getty.edu/research/tools/vocabularies/aat/aat_faq.html]

Predicates that are used to construct the GESIS Knowledge Graph, a bibliometrics KG.

As the variable is one of the most relevant entities to enhance data reuse in the Social Sciences, we provide a framework design to better semantics the variables' relations descriptions. These explicit relations between variables enable comparability and facilitate harmonization across waves. We provide a brief textual identification of the relation type, supported by a controlled vocabulary (CV) and an extended description of the relationship. These relations within variables include but are not limited to different versions, derived formats in new waves, new labels and name wording, and alternative response schema through questionnaires and surveys. For instance, a given variable label is changed from one wave to another, even though its concept remains the same. Their values also are subject to change, such as new cardinalities settings, their categorization, or response scheme and scale measurement. They change based on different conditions, e.g., values are updated by any constraints or modified to comply with the study evolution requirements or a new sociological approach. In the Social Sciences, Economics, and Behaviour Sciences, which investigate, for instance, the social structure of the population, political attitudes of voters and candidates, opinions on family, work, religion, politics and society or competencies of adults, those topics are highly subject to change to fit the empirical reality in a constantly changing world. Thus, we propose widening relations descriptions for Social Sciences variables within datasets beginning from the BasedOnObjectType DDI as a first approach.