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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 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.

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

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

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

Themes listed in GEMET

Relations in GEMET

Groups listed in GEMET

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.

The FRBR-aligned Bibliographic Ontology (FaBiO) is an ontology for describing entities that are published or potentially publishable (e.g., journal articles, conference papers, books), and that contain or are referred to by bibliographic references.

EuroVoc is the EU's multilingual and multidisciplinary thesaurus. It contains keywords, organized in 21 domains and 127 sub-domains, which are used to describe the content of documents in EUR-Lex. [from homepage]

European Science Vocabulary (EuroSciVoc) is the taxonomy of fields of science based on OECD's 2015 Frascati Manual taxonomy. It was extended with fields of science categories extracted from CORDIS content through a semi-automatic process developed with Natural Language Processing (NLP) techniques. (from homepage)

The EOL ontology describes environmental conditions of livestock farms. More specifically, it describes the feeding modalities, the environment, the structure of livestock farms and rearing systems.

EMMO is a multidisciplinary effort to develop a standard representational framework (the ontology) for applied sciences. It is based on physics, analytical philosophy and information and communication technologies. It has been instigated by materials science to provide a framework for knowledge capture that is consistent with scientific principles and methodologies. (from GitHub)

The Electron Microscopy (EM) Glossary is a widespread community effort to harmonize terminology in the electron and ion microscopies. It is created in a not-for profit collaboration between academic and non-university research institutions including domain and metadata experts. It provides harmonized terminology for application level semantic artifacts to source from and align with. [from homepage]

The Enzyme Nomenclature (also known as the Enzyme Commission Code) is a species-agnostic controlled vocabulary for specific enzymes and an associated hierarchical classification into 7 main categories. The Enzyme Nomenclature is maintained by the [Nomenclature Committee](https://iubmb.org/about/committees/nomenclature-committee/) of the International Union of Biochemistry and Molecular Biology (IUBMB). A detailed history of the nomenclature since the 1950s can be found [here](https://iubmb.qmul.ac.uk/enzyme/history.html). There are few notable resources providing access to the Enzyme Nomenclature: <table class="table table-striped"><thead><tr><th>Website</th><th>Homepage</td><th>Notes</td></tr></thead><tbody><tr><td>ExplorEnz</td><td><a href="https://www.enzyme-database.org">https://www.enzyme-database.org</a></td><td>This is the resource officially recommended by IUBMB</td></tr><tr><td>IUBMB (via by Queen Mary)</td><td><a href="https://iubmb.qmul.ac.uk/enzyme">https://iubmb.qmul.ac.uk/enzyme</a></td><td>This is a web-based version of the <a href="https://archive.org/details/enzymenomenclatu0000inte_d6c2">1992 publication</a>.</td></tr><tr><td>IntEnz</td><td><a href="https://www.ebi.ac.uk/intenz">https://www.ebi.ac.uk/intenz</a></td><td>Shutdown in 2024</td></tr><tr><td>ExPaSy</td><td><a href="https://enzyme.expasy.org">https://enzyme.expasy.org</a></td></tr><tr><td>EnzymePortal</td><td><a href="https://www.ebi.ac.uk/enzymeportal">https://www.ebi.ac.uk/enzymeportal</a></td><td></td></tr></tbody></table>

A project supporting the DRAO application ontology, a hierarchy of specific research domains and descriptors which imports subsets of terms from over 40 publicly-available terminologies. (from repository)

Cell lines used in the Dependency Map (DepMap). Highly related to CCLE Cells.

A typology of methods used to translate data collection instruments, including questionnaires, individual questions, measurements, data capture flows, etc.

Identifies the type of telephone entered as contact information for an individual or an organization.

Includes a typology of notes.

Includes a typology of data collection instruments.

Indicates the frequency of data collection events.