cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.k5s8zj
title: FAIRsharing record for: Multilevel Healthcare Information Modeling
title: MLHIM

description: This FAIRsharing record describes:  The Multilevel Healthcare Information Modeling (MLHIM) specifications enables the exchange of syntactically and semantically interoperable data extracts between distributed, independently developed, biomedical databases and clinical applications, promoting syntactic and semantic integration of Translational Research data. T
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.a4ww64
title: FAIRsharing record for: The Ecosystem Ontology
title: ECSO

description: This FAIRsharing record describes:  DataONE ontology of Carbon Flux measurements for MsTMIP and LTER Use Cases
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.c6vhm3
title: FAIRsharing record for: Human Developmental Stages Ontology
title: HSAPDV

description: This FAIRsharing record describes:  Life cycle stages for Human. HsapDv was developed by the Bgee group with assistance from the core Uberon developers and the Human developmental anatomy ontology (EHDAA2) developers. Currently it includes both embryonic (Carnegie) stages and adult stages.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.rnckxp
title: FAIRsharing record for: Biodiversity Ontology
title: BOF

description: This FAIRsharing record describes:  An ontology of biodiversity of INPA, available via BioPortal.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.szexty
title: FAIRsharing record for: insectH
title: INSECTH

description: This FAIRsharing record describes:  NeuroMorpho.Org insect brain regions ontology is compiled to create data annotation standard for depositing insect data. Currently at v6.2, NeuroMorpho.Org hosts over 17k neuronal reconstructions mostly from the fly. The insect ontology follows the standard nomenclature of the insect brain (Ito et al., 2013) and the virtualfly.org.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.6xfgaq
title: FAIRsharing record for: VIVO Ontology
title: VIVO

description: This FAIRsharing record describes:  The VIVO Ontology provides a set of concepts to represent researchers and the full context in which they work. It is used as part of the VIVO project, which uses a collection of ontologies to represent scholarship.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.6bxcr4
title: FAIRsharing record for: Systematized Nomenclature of Medicine, International Version
title: SNMI

description: This FAIRsharing record describes:  Cote, Roger A., editor. Systematized Nomenclature of Human and Veterinary Medicine: SNOMED International. Northfield (IL): College of American Pathologists; Schaumburg (IL): American Veterinary Medical Association, Version 3.5, 1998.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.a0yy2x
title: FAIRsharing record for: Integrating Network Objects with Hierarchies Event Ontology
title: IEV

description: This FAIRsharing record describes:  INOH Event Ontology (IEV) is a structured controlled vocabulary of pathway centric biological processes used to annotate biological processes, pathways, sub-pathways in the INOH pathway data. .
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.k008w7
title: FAIRsharing record for: Human Dermatological Disease Ontology
title: DERMO

description: This FAIRsharing record describes:  DermO is an Ontology of cutaneous disease, constructed manually by domain experts. With more than 3000 terms, DermO represents the most comprehensive formal dermatological disease terminology available. The disease entities are categorized in 20 upper level terms, which use a variety of features such as anatomical location, heritability, affected cell or tissue type, or etiology, as the features for classification, in line with professional practice and nosology in dermatology.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.rvbrmp
title: FAIRsharing record for: Pairs file format
title: .pairs

description: This FAIRsharing record describes:  A standard text format for pairs of genomic loci given as 1bp point positions, applicable to chromosome conformation experiments. Pairs files are produced as intermediate files in most Hi-C analysis pipelines and can be indexed and queried by the Pairix software.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.f3jewy
title: FAIRsharing record for: smartAPI specification
title: smartAPI

description: This FAIRsharing record describes:  The smartAPI project aims to maximize the FAIRness (Findability, Accessibility, Interoperability, and Reusability) of web-based Application Programming Interfaces (APIs). Rich metadata is essential to properly describe your API so that it becomes discoverable, connected, and reusable. We have developed a openAPI-based specification for defining the key API metadata elements and value sets. smartAPIs leverage the Open API specification v3 and JSON-LD for providing semantically annotated JSON content that can be treated as Linked Data.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.rfec93
title: FAIRsharing record for: Ontology for Nutritional Studies
title: ONS

description: This FAIRsharing record describes:  Ontology For Nutritional Studies (ONS) has been developed as part of the ENPADASI European project (http://www.enpadasi.eu/) with the aim to define a common language and building ontologies for nutritional studies. It is the first systematic effort to provide a formal ontology framework for the description of nutritional studies. ONS provides an extensible formal ontology framework for nutritional studies, where integration of new information can be easily achieved by the addition of extra modules (i.e. Nutrigenomics, Metabolomics, Nutrikinetics, Quality appraisal, etc.). Nutritional researchers who might not necessarily be familiar with ontologies and concept standardization, can find in ONS a single knowledge entry point for a unified and standardized terminology for their studies.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.33aa85
title: FAIRsharing record for: ISO 639-3 Codes for the representation of names of languages - Part 3: Alpha-3 code for comprehensive coverage of languages
title: ISO 639-3

description: This FAIRsharing record describes:  ISO 639-3 provides a comprehensive set of identifiers for all languages for use in a wide range of applications, including linguistics, lexicography and internationalization of information systems. It attempts to represent all known full languages. ISO 639 provides three language code sets: one is a two-letter code (ISO 639-1) and two others are three-letter codes (ISO 639-2 and ISO 639-3) for the representation of names of languages.  The three-letter codes in ISO 639-2 and ISO 639-3 are complementary and compatible. The two codes have been devised for different purposes. The set of individual languages listed in ISO 639-2 is a subset of those listed in ISO 639-3. The codes differ in that ISO 639-2 includes code elements representing some individual languages and also collections of languages, while ISO 639-3 includes code elements for all known individual languages but not for collections of languages. Overall, the set of individual languages listed in ISO 639-3 is much larger than the set of individual languages listed in ISO 639-2.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.c26a4e
title: FAIRsharing record for: European Registry of Materials Identifier
title: ERM Identifier

description: This FAIRsharing record describes:  Identifier project to uniquely identify nanomaterials, allowing them to identify materials in experimental designs, data, reports, project deliverables, and scholarly publications.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.tepvv5
title: FAIRsharing record for: FOODIE core ontology
title: FOODIE

description: This FAIRsharing record describes:  The FOODIE project is focused on building an open and interoperable agricultural specialized platform on the cloud for the management, discovery and large-scale integration of data relevant for farming production. The FOODIE ontology is an INSPIRE-based vocabulary for the publication of Agricultural Linked Data. The ontology provides a semantic representation of the FOODIE core data model, which was specified in UML by extending and specializing the INSPIRE data model for Agricultural and Aquaculture Facilities (AF), which is in turn based on the ISO/OGC standards for geographical information.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.667cc3
title: FAIRsharing record for: AS/NZS ISO 19115.1:2015 Metadata
title: null

description: This FAIRsharing record describes:  The AS/NZS ISO 19115.1:2015 metadata standard (including the 2018 Amendment No.1) extends ISO 19115-1. ANZLIC provides an extension for this metadata standard specific to the Australian and New Zealand geo-spatial region. 
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.6bd353
title: FAIRsharing record for: Darwin Information Typing Architecture
title: DITA

description: This FAIRsharing record describes:  The Darwin Information Typing Architecture (DITA) 1.2 is a standard for writing, representing as well as defining the topic information in a variety of document types.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.27rndz
title: FAIRsharing record for: Geographical Entity Ontology
title: GEO

description: This FAIRsharing record describes:  The Geographical Entity Ontology (GEO) is an ontology of geographical entities (such as sovereign states and their administrative subdivisions) as well as various geographical regions (including but not limited to the specific ones over which the governments have jurisdiction).
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.29924b
title: FAIRsharing record for: ISO 27729:2012 Information and documentation — International standard name identifier
title: ISO 27729:2012 ISNI

description: This FAIRsharing record describes:  ISO 27729:2012 specifies the International Standard Name Identifier (ISNI) for the identification of public identities of parties, i.e. the identities used publicly by parties involved throughout the media content industries in the creation, production, management and content distribution chains. ISNIs uniquely identify public identities across multiple fields of creative activity and provides a tool for disambiguating public identities that might otherwise be confused. An ISNI is made up of 16 digits, the last character being a check character. The check character may be either a decimal digit or the character “X”.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.e07e1b
title: FAIRsharing record for: Water Markup Language
title: WaterML

description: This FAIRsharing record describes:  WaterML 2.0 is a standard information model for the representation of water observations data, with the intent of allowing the exchange of such data sets across information systems. Through the use of existing OGC standards, it aims at being an interoperable exchange format that may be re-used to address a range of exchange requirements. The primary goal of this profile is to capture the semantics of hydrological observational data for data exchange. This will allow hydrological information systems to communicate data between systems and to end users.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.tnu8v7
title: FAIRsharing record for: Data Quality Vocabulary
title: DQV

description: This FAIRsharing record describes:  Aiming to facilitate the publication of such data quality information on the Web, especially in the growing area of data catalogues, the W3C Data Web Best Practices Working (DWBP) group has developed the Data Quality Vocabulary (DQV). DQV is a (meta)data model implemented as an RDF vocabulary with properties and classes suitable for expressing the quality of datasets and their distributions. DQV has been conceived as a high-level, interoperable framework that must accommodate various views over data quality. DQV does not seek to determine what "quality" means. Quality lies in the eye of the beholder; and there is no objective, ideal definition of it. Some datasets will be judged as low-quality resources by some data consumers, while they will perfectly fit others' needs. There are heuristics designed to fit specific assessment situations that rely on quality indicators, such as pieces of data content, pieces of data meta-information and human ratings, to give indications about the suitability of data for some intended use. DQV re-uses the notions of quality dimensions, categories and metrics to represent various approaches to data quality assessments. It also stresses the importance of allowing different actors to assess the quality of datasets and publish their annotations, certificates, or mere opinions about a dataset.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.g7b4rj
title: FAIRsharing record for: WikiPathways
title: WIKIPATHWAYS

description: This FAIRsharing record describes:  WikiPathways simplifies the contribution and maintenance of biological pathway information. It is an open and collaborative platform that curates pathways, complementing existing databases like KEGG, Reactome, and Pathway Commons. The web-based format makes it easy for anyone to participate, from students to experts. The community takes on peer review, editorial curation, and maintenance tasks.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.22bb25
title: FAIRsharing record for: Generic Statistical Information Model Specification
title: GSIM Specification

description: This FAIRsharing record describes:  The GSIM Specification provides a set of standardized, consistently described information objects, which are the inputs and outputs in the design and production of statistics. Each information object is been defined and its attributes and relationships are specified.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.ae5rv
title: FAIRsharing record for: Semantic reference model for making rare disease resources linkable
title: null

description: This FAIRsharing record describes:  A subset of ontology classes and properties for connecting rare disease data in the context of creating FAIR rare disease data 'at the source'. The aim is to facilitate data annotation at the source in order to enable questions and analysis across rare disease resources (e.g. biobanks, registries, molecular data). I.e. the model is not meant as a new conceptualization. Ontology files: 1. rdc-core: the minimal set of classes and properties to map to the data in the sources of the platform. RD core represents little more that the lowest level types for the identifiers of the sources of the Rare Disease Connect platform. 2. rdc-meta: the minimal semantic model, defined as much as possible using existing ontologies (OBIB, etc.). 3. rdc-meta-extended: this model includes the subclasses and properties of the entities that were imported from source ontologies, i.e. when you use the ‘move’ function of protege, rather than just copy the URI. 4. rdc-thesaurus: mappings to ‘concepts’. A SKOS-based thesaurus represents a ‘light-weight’ ontology. This allows us to define in simple terms the relations between similar or equal terms in different terminologies. 5. rdc-mapping: mapping between models, for instance between the SKOS concepts and RD-core and RD-meta. 6. rdc-example-instances: example instances (‘individuals’) to show the model at instance level. The instances, especially the IDs relate to actual data in data sources. Their datatype properties link to data.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.xvf5y3
title: FAIRsharing record for: Darwin Core
title: DwC

description: This FAIRsharing record describes:  Darwin Core (DwC) is a vocabulary that includes a glossary of terms (in other contexts these might be called properties, elements, fields, columns, attributes, or concepts) intended to facilitate the sharing of information about biological diversity by providing identifiers, labels, and definitions. The Darwin Core is primarily based on the observation, specimen and samples of taxa. The Darwin Core standard is comprised of one vocabulary (the Darwin Core vocabulary), and six associated documents. The vocabulary itself is composed of four term lists: Darwin Core terms borrowed from the Dublin Core legacy and terms namespace, Darwin Core IRI-value Term Analogs, and the core terms defined by Darwin Core.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.