cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.farr39
title: FAIRsharing record for: G Protein-Coupled Receptor BioAssays Ontology
title: BAO-GPCR

description: This FAIRsharing record describes:  The G protein-coupled receptors (GPCRs) ontology describes pharmacology, biochemistry and physiology of these important and therapeutically promising class of academic and pharmaceutical research targets. Incorporation and comparison of various small molecule screening data sets, such as those deposited in PubChem, ChEMBL, KEGG, PDSP, and/or IUPHAR databases, requires a formalized electronic organization system. In order to bridge the gap between the overflow of HTS data and the bottleneck of integrated analysis tools, herein, we provide the first comprehensive GPCR ontology. The development and utility of GPCR ontology was based on previously developed BioAssay Ontology (BAO). The GPCR ontology contains information about biochemical, pharmacological, and functional properties of individual GPCRs as well as GPCR-selective ligands inclusive of their HTS screening results and other records. This ontology aims to model the relationship between the GPCR binding sites and their physiologic and pharmacologic role in physiology via small molecule chemical structures. 
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.j2np9m
title: FAIRsharing record for: Menelas Project Top-Level Ontology
title: TOP-MENELAS

description: This FAIRsharing record describes:  The two main goals MENELAS contributes to are to (i) Provide better account of and better access to medical information through natural languages in order to help physicians in their daily practice, and to (ii) Enhance European cooperation by multilingual access to standardised medical nomenclatures. The major achievements of MENELAS are the realisation of its two functional systems: (i) The Document Indexing System encodes free text PDSs into both an internal representation (a set of Conceptual Graphs) and international nomenclature codes (ICD-9-CM). Instances of the Document Indexing System have been realised for French, English and Dutch ; (ii) The Consultation System allows users to access the information contained in PDSs previously indexed by the Document Indexing System. The test domain for the project was coronary diseases. The existing prototype shows promising results for information retrieval from natural language PDSs and for automatically encoding PDSs into an existing classification such as ICD-9-CM. A set of components, tools, knowledge bases and methods has also been produced by the project. These include language-independent ontology and models for the domain of coronary diseases; conceptual description of the relevant ICD-9-CM codes. This ontology includes a top-ontology, a top-domain ontology and a domain ontology (Coronay diseases surgery). The menelas-top ontology here is the part of the whole ontology without any reference to medical domain.
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.mvbjrq
title: FAIRsharing record for: CDISC Study/Trial Design Model
title: CDISC SDM

description: This FAIRsharing record describes:  The CDISC Study/Trial Design Model in XML (SDM) is an extension of ODM and enables organizations to provide rigorous, machine-readable, interchangeable descriptions of the designs of their clinical studies, including treatment plans, eligibility and times and events. SDM defines three key sub-modules – Structure, Workflow, and Timing – permitting various levels of detail in any representation of a clinical study’s design.
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.zrmjr7
title: FAIRsharing record for: Minimum Information about an array-based toxicogenomics experiment
title: MIAME/Tox

description: This FAIRsharing record describes:  MIAME/Tox was developed to extend MIAME for array-based toxicogenomics experiments.
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.wd8j2q
title: FAIRsharing record for: bibliotek-o
title: bibliotek-o

description: This FAIRsharing record describes:  bibliotek-o is an ontology framework for modeling bibliographic metadata based on the Library of Congress BIBFRAME ontology. It includes: the bibliotek-o ontology, which defines extensions and modifications to BIBFRAME and is intended to be used as a supplement to the core BIBFRAME ontology; a set of external ontology fragments (including BIBFRAME) intended for use with the bibliotek-o ontology; and a data model and application profile - i.e., a set of recommended models and patterns for expressing bibliographic metadata using BIBFRAME, the bibliotek-o ontology, and other external ontologies. bibliotek-o 2017-07-06 Release of Version 1.1.0 will remain frozen until further notice.
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.cfcf89
title: FAIRsharing record for: ICAT Schema
title: ICAT Schema

description: This FAIRsharing record describes:  The ICAT Schema, which is based on the CSMD, provides a metadata schema to support Large Facility experimental data, linking all aspects of the research chain from proposal through to publication.
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.jq69k3
title: FAIRsharing record for: World geographical scheme for recording plant distributions
title: null

description: This FAIRsharing record describes:  In setting out to establish standards for data fields in botanical databases, the International Working Group on Taxonomic Databases for Plant Sciences (TDWG) identified at an early stage of its existence a need for an agreed system of geographical units at approximately "country" level and upwards for use in recording plant distributions. This would aim to provide a standard which different organisations maintaining databases could adopt so that they could compare and exchange data with each other without loss of information due to incompatible geographical boundaries. The present publication has resulted from the deliberations over a period of three years of a committee of both taxonomic and applied botanists set up to produce such a standard. The system offered covers the whole world and identifies units at four levels, firstly continental, secondly regional (or subcontinental), thirdly at what may be called "Botanical Country" level (which may often ignore purely political considerations), and fourthly at a slightly lower level called "Basic Recording Units" where political integrity is fully recognised. In many cases, where Botanical Countries have no complicating political factors, the units at Level-3 and Level-4 are identical. Very large countries, however, have been subdivided into more conveniently sized units according to constituent states or provinces. It is a fundamental principle that units at all levels are bounded either by political boundaries which appear on modern maps or by coast lines. Modern geographical information systems have not superseded the need for such a scheme. While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).
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.zj6y9h
title: FAIRsharing record for: Minimum Information About a Simulation Experiment
title: MIASE

description: This FAIRsharing record describes:  The MIASE Guidelines, initiated by the BioModels.net effort, are a community effort to identify the Minimal Information About a Simulation Experiment, necessary to enable the reproducible simulation experiments. Consequently, the MIASE Guidelines list the information that a modeller needs to provide to enable the execution and reproduction of a numerical simulation experiment, derived from a given set of quantitative models. MIASE is a set of guidelines suitable for use with any structured format for simulation experiments. As such, MIASE is designed to help modelers and software tools to exchange their simulation settings and to foster collaboration.
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.k3fp3g
title: FAIRsharing record for: Read Clinical Terminology Version 2
title: Read v2

description: This FAIRsharing record describes:  Read Codes are a coded thesaurus of clinical terms. They have been used in the NHS since 1985. There are two versions: version 2 (v2) and version 3 (CTV3 or v3). Both versions provide a standard vocabulary for clinicians to record patient findings and procedures, in health and social care IT systems across primary and secondary care. The Read Codes were developed in 1985 by Dr. James Read. The U.K. National Health Service Centre for Coding and Classification (NHS CCC) acquired and now maintains the Read Codes. Read Codes contain hundreds of thousands of terms, synonyms, and abbreviations covering all aspects of patient care including signs and symptoms, treatments and therapies, investigations, occupations, diagnoses, and drugs and appliances. Read Codes are used by healthcare professionals in computerized information systems. Read Codes are now known as Clinical Terms. PLEASE NOTE: the retirement of Read v2 and v3 (CTV3) clinical terminologies has been scheduled. The last release of Read v2 was April 2016, and as such this record has been marked with a "Deprecated" status. CTV3 is due to be retired after the April 2018 release.
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.qnkw45
title: FAIRsharing record for: Medical Subject Headings
title: MESH

description: This FAIRsharing record describes:  The Medical Subject Headings (MeSH®) thesaurus is a controlled vocabulary produced by the National Library of Medicine and used for indexing, cataloging, and searching for biomedical and health-related information and documents. MeSH includes the subject descriptors appearing in MEDLINE®/PubMed® and other NLM databases. MeSH provides a consistent way to find content with different terminology but the same concepts. Many synonyms, near-synonyms, and closely related concepts are included as entry terms to help users find the most relevant MeSH descriptor for the concept they are seeking. In NLM's online databases, many terms entered by searchers are automatically mapped to MeSH descriptors to facilitate retrieval of relevant information. Various online systems provide access to MeSH and the vocabulary is available in several NLM online systems. These include the MeSH Browser, containing the complete contents of the MeSH vocabulary; the MeSH Entrez databases, which are designed to assist those searching MEDLINE®/PubMed®; and the UMLS Metathesaurus® with links to many other controlled vocabularies. MeSH Records contain three types: Descriptors, Qualifiers, and Supplementary Concept Records (SCRs).
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.1413b5
title: FAIRsharing record for: Thesaurus of Geographic Names
title: TGN

description: This FAIRsharing record describes:  The Thesaurus of Geographic Names (TGN) is a terminology that focuses on places relevant to art, architecture, and related disciplines, recording names, relationships, place types, dates, notes, and coordinates for current and historical cities, nations, empires, archaeological sites, lost settlements, and physical features. The TGN is one of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture.
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.vxyt0f
title: FAIRsharing record for: Lipid Ontology
title: LiPrO

description: This FAIRsharing record describes:  Lipid research is increasingly integrated within systems level biology such as lipidomics where lipid classification is required before appropriate annotation of chemical functions can be applied. The ontology describes the LIPIDMAPS nomenclature classification explicitly using description logics (OWL-DL).
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.a4wgws
title: FAIRsharing record for: Real-time PCR Data Markup Language
title: RDML

description: This FAIRsharing record describes:  The RDML file format is developed by the RDML consortium (http://www.rdml.org) and can be used free of charge. The RDML file format was created to encourage the exchange, publication, revision and re-analysis of raw qPCR data. The core of an RDML file is an experiment, not a PCR run. Therefore all the information is collected which is required to understand an experiment. The structure of the file format was inspired by a database structure. In the file are several master elements, which are then referred to in other parts of the file. This structure allows to reduce the amount of redundant information and encourages the user to provide useful information. The Real-time PCR Data Markup Language (RDML) is a structured and universal data standard for exchanging quantitative PCR (qPCR) data. The data standard should contain sufficient information to understand the experimental setup, re-analyse the data and interpret the results. The data standard is a compressed text file in Extensible Markup Language (XML) and enables transparent exchange of annotated qPCR data between instrument software and third-party data analysis packages, between colleagues and collaborators, and between authors, peer reviewers, journals and readers. To support the public acceptance of this standard, both an on-line RDML file generator is available for end users, as well as RDML software libraries to be used by software developers, enabling import and export of RDML data files.
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.asg057
title: FAIRsharing record for: Parasite Experiment Ontology
title: PEO

description: This FAIRsharing record describes:  The Parasite Experiment Ontology (PEO) models the processes, instruments, parameters, and sample details that will be used to annotate experimental results with “provenance” metadata (derivation history of results). The ontology was created to enable publication of results in journals, conferences with details of the method used to arrive at the result. Please note that the homepage is no longer active, and the ontology has not been updated in BioPortal since 2011. Until we can ascertain the current status of the ontology, we have marked this record as "Uncertain".
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.2rm2b3
title: FAIRsharing record for: W3C Provenance Ontology
title: PROV-O

description: This FAIRsharing record describes:  The PROV Ontology (PROV-O) expresses the PROV Data Model using the OWL2 Web Ontology Language (OWL2). It is intended for the Linked Data and Semantic Web community. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. PROV-O is one serialization of PROV-DM, the other two being PROV-N and PROV-XML. PROV-DM and PROV-O define how to represent provenance on the World Wide Web, and as such additional documentation has been included in this record for PROV-AQ (Access and Query), a note which describes how standard web protocols may be used to locate, retrieve and query provenance records. PROV-DC provides a mapping from Dublin Core to PROV-O, and is listed in this record. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.
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.namxfm
title: FAIRsharing record for: Functional Genomics Experiment Markup Language
title: FuGE-ML

description: This FAIRsharing record describes:  Functional genomics experiments present many challenges in data archiving, sharing and querying. As the size and complexity of data generated from such experiments grows, so does the requirement for standard data formats. To address these needs, the Functional Genomics Experiment [Object Model / Markup-Language] (FuGE-OM, FuGE-ML) has been created to facilitate the development of data standards.FuGE is a model of the shared components in different functional genomics domains. FuGE facilitates the development of data standards in functional genomics in two ways: 1. FuGE provides a model of common components in functional genomics investigations, such as materials, data, protocols, equipment and software. These models can be extended to develop modular data formats with consistent structure. 2. FuGE provides a framework for capturing complete laboratory workflows, enabling the integration of pre-existing data formats. In this context, FuGE allows the capture of additional metadata that gives formats a context within the complete workflow. FuGE is available as a UML model and an XML Schema
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.r87bgr
title: FAIRsharing record for: CDISC Clinical Data Acquisition Standards Harmonization
title: CDISC CDASH

description: This FAIRsharing record describes:  CDASH establishes a standard way to collect data in a similar way across studies and sponsors so that data collection formats and structures provide clear traceability of submission data into the Study Data Tabulation Model (SDTM), delivering more transparency to regulators and others who conduct data review.
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.9xsgcr
title: FAIRsharing record for: Phenotype eXchange Format
title: PXF

description: This FAIRsharing record describes:  The health of an individual organism results from a complex interplay between its genes and environment. Although great strides have been made in standardizing the representation of genetic information for exchange, there are no comparable standards to represent phenotypes (e.g. patient symptoms and disease features) and environmental factors (Figure 1). Phenotypic abnormalities of individual organisms are currently described in diverse places and in diverse formats: publications, databases, health records, registries, clinical trials, and even social media. However, the lack of standardization, accessibility, and computability among these contexts makes it extremely difficult to effectively extract and utilize these data, hindering the understanding of genetic and environmental contributions to disease.
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.