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Gemina (Genomic Metadata for Infections Agents) is a web interface and database for storing genomic sequence of pathogens and epidemiological information for the infectious diseases they cause.

Describes typical Computational Chemistry experiments, including Molecular Publications, Molecular Systems, Molecular Calculations

Database of rare diseases and related terms, including symptoms, healthcare resources, and organizations supporting research of the disease.

Database of living organisms, taxonomic. The GBIF—the Global Biodiversity Information Facility—is international network and data infrastructure funded by the world's governments and aimed at providing anyone, anywhere, open access to data about all types of life on Earth.

The European Environment Information and Observation Network (Eionet) is a partnership network of the European Environment Agency (EEA) and its 38 member and cooperating countries. The EEA is responsible for developing Eionet and coordinating its activities together with National Focal Points (NFPs) in the countries. This terminology supports those efforts.

Groups listed in GEMET

Relations in GEMET

Themes listed in GEMET

GenBank ® is the NIH genetic sequence database, an annotated collection of all publicly available DNA sequences (Nucleic Acids Research, 2013 Jan;41(D1):D36-42).

The GeoNames geographical database covers all countries and contains over eleven million placenames that are available for download free of charge.

All geographical features in GeoNames are categorized into one out of nine feature classes and further subcategorized into one out of 645 feature codes.

An ontology used to enable annotating geospatial semantic information to entities in GeoNames

Functions for GeoSPARQL

Rules for GeoSPARQL

Geförderte Projekte Informationssystem (GEPRIS) is a bilingual (German/English) database of funding measures administered by the Deutsche Forschungsgemeinschaft (DFG).

The Category Scheme Election Studies provides the ability to categorize election studies at the question and/or variable level.

This CV, developed within the framework of the DP-R|EX joint project, involving the partner institutions DeZIM, Qualiservice and GESIS, maps the central concepts and theoretical approaches in research on racism and right-wing extremism. The compilation is based on a systematic evaluation of the relevant national and international empirical research literature. The CV equally takes into account the different thematic (racism, right-wing extremism, discrimination) as well as methodological (qualitative research, standardised surveys, data from social media and messaging services) research strands.

This CV, developed as part of the DP-R|EX joint project, involving the partner institutions DeZIM, Qualiservice and GESIS, maps the data types relevant to the research field. The CV includes data types that can result from a variety of different collection methods. These include, for example, standardised or unstandardised surveys, individual or repeated observations, as well as process-produced or user-generated types of data generation. The data types can be subject-, event-, space- or time-related and refer to the individual or aggregate level.

This CV, developed within the framework of the DP-R|EX joint project, involving the partner institutions DeZIM, Qualiservice and GESIS, maps the dimensions of discrimination and racialised characteristics relevant to the research area. The compilation is based on a systematic evaluation of the relevant national and international empirical research literature. These include self-attributed characteristics as well as anticipated attributions by others. The characteristics do not necessarily correspond to the studied units in the data set, but can also be the subject of studied concepts or theories in the surveys, such as on specific prejudices and attitudes.

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.

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

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]

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 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).