cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.s0jj2t
title: FAIRsharing record for: Minimum Information About BIobank data Sharing
title: MIABIS

description: This FAIRsharing record describes:  MIABIS represents the minimum information required to initiate collaborations between biobanks and to enable the exchange of biological samples and data. The aim is to facilitate the reuse of bio-resources and associated data by harmonizing biobanking and biomedical research.
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.wdrf9x
title: FAIRsharing record for: MIAPE: Mass Spectrometry Quantification
title: MIAPE-Quant

description: This FAIRsharing record describes:  This module identifies the minimum information required to report the use of quantification techniques in a proteomics experiment, sufficient to support both the effective interpretation and assessment of the data and the potential recreation of the results of the data analysis.
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.30fk89
title: FAIRsharing record for: Core Scientific MetaData model
title: CSMD

description: This FAIRsharing record describes:  Capturing high level information about scientific studies and the data that they produce, the CSMD is developed to support data collected within a facility’s scientific workflow. However the model is also designed to be generic across scientific disciplines and has application beyond facilities science, particularly in the “structural sciences” (such as chemistry, material science, earth science, and biochemistry) which are concerned with analysing the structure of substances, and perform systematic experimental analyses on samples of those materials.
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.9gqfpm
title: FAIRsharing record for: International Harmonization of Nomenclature and Diagnostic criteria
title: INHAND

description: This FAIRsharing record describes:  Standard reference for nomenclature and diagnostic criteria in toxicologic pathology.
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.gneqg7
title: FAIRsharing record for: Minimal Information about a Self-Monitoring Experiment
title: MISME

description: This FAIRsharing record describes:  This is reporting guideline for self-monitoring and quantified-self experiments and their use for research purposes
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.ny9vnm
title: FAIRsharing record for: Flora Phenotype Ontology
title: FLOPO

description: This FAIRsharing record describes:  The Flora Phenotype Ontology is a domain ontology for the description of plant characters. FLOPO contains more than 25000 phenotype and traits classes, the creation of FLOPO is data-driven: For each trait/phenotype class exists a taxon annotation in the underlying Floras.
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.cfhbvn
title: FAIRsharing record for: Observ-Tab
title: Observ-Tab

description: This FAIRsharing record describes:  Observ-Tab is the tabular exchange format for Observ-OM. Observ-OM is a model to capture 'any' phenotype observation lead by ​EU-GEN2PHEN. Its purpose is to store individual and summary level observations in a uniform way to enable harmonization and interoperability of phenotypic and genotypic data across human genetics, model organisms and biobanks.
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.wgfrmg
title: FAIRsharing record for: Crop Ontology
title: CO

description: This FAIRsharing record describes:  Created in 2008 by the CGIAR, the Crop Ontology (CO; http://www.cropontology.org) is an essential source of traits and variables to support the standardization of the breeding databases such as the Integrated Breeding Platform’s BMS (IBP; https://www.integratedbreeding.net/) and the Boyce Thompson Institute’s Breedbase (https://breedbase.org/) (Arnaud et al., 2020). By providing descriptions of agronomic, morphological, physiological, quality, and stress traits along with their definitions and relationships, also including a standard nomenclature for composing the variables, the CO enables digital capture and aggregation of crop trait data, as well as comparison across projects and locations (Shrestha et al, 2012). The crop ontologies follow a conceptual model that defines a phenotypic variable as a combination of a trait, a method and a scale. This model aims at supporting the creation and management of breeders’ field books and the generation of annotated trial data. Annotated data are interpretable, interoperable and reusable. The development of a crop-specific ontology is a community-driven effort which is usually coordinated by a curator (or curators) nominated from within the community itself. CO’s Traits that are properly described following the guidelines are progressively mapped to the Planteome species-neutral Trait Ontology (TO) maintained by Oregon State University.
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.e01rsf
title: FAIRsharing record for: Standard Preanalytical Code
title: SPREC

description: This FAIRsharing record describes:  Standard Preanalytical Code (SPREC) identifies and records the main pre-analytical factors that may have impact on the integrity of sampled clinical fluids and solid biospecimens and their simple derivatives during collection, processing and storage. SPREC comprises 7 elements for both fluid and solid samples, defining the sample and primary container type, periods of cold and warm ischemia, and subsequent handling steps including speed and temperature of centrifugation and final storage temperature.
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.kfs4pj
title: FAIRsharing record for: Pseudogene
title: Pseudo

description: This FAIRsharing record describes:  This ontology is about human pseudogenes, extending the existing SO framework to incorporate additional attributes. Relationships between pseudogenes and segmental duplications are defined in this standard. To answer research questions and to annotate pseudogenes appropriately, a series of logical rules using SWRL was created.
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.1ctakh
title: FAIRsharing record for: Mathematics Markup Language
title: MathML

description: This FAIRsharing record describes:  A product of the W3C Math Working Group, MathML is a low-level specification for describing mathematics as a basis for machine to machine communication which provides a much needed foundation for the inclusion of mathematical expressions in Web pages. It is also important in publishing workflows for science and technology and wherever mathematics has to be handled by 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.anpj91
title: FAIRsharing record for: AGROVOC
title: AGROVOC

description: This FAIRsharing record describes:  AGROVOC is a controlled vocabulary covering all areas of interest of the Food and Agriculture Organization (FAO) of the United Nations, including food, nutrition, agriculture, fisheries, forestry, environment etc. It is published by FAO and edited by a community of experts. AGROVOC consists of over 41,000 concepts available in up to 42 languages. AGROVOC uses semantic web technologies, linking to other multilingual knowledge organization systems and building bridges between datasets. Your library can use AGROVOC to index its documents or datasets, or you can use it from inside your content management system (e.g., Drupal) to organize your documents or web site. You can also use AGROVOC as an hub to access many other vocabularies available on the web.  To date, AGROVOC is used by researchers, librarians and information managers for indexing, retrieving and organizing data in agricultural information systems and Web pages. Currently, AGROVOC is an SKOS-XL concept scheme and a Linked Open Data (LOD*) set aligned with over 20 other multilingual knowledge organization systems related to agriculture. You may browse AGROVOC, access its Web Services or SPARQL endpoint.
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.d0886a
title: FAIRsharing record for: FAM
title: FAM

description: This FAIRsharing record describes:  A sample information file accompanying a .bed binary genotype table.
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.peabnh
title: FAIRsharing record for: Bleeding History Phenotype
title: BHO

description: This FAIRsharing record describes:  An application ontology devoted to the standardized recording of phenotypic data related to hemorrhagic disorders.
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.wkhxc8
title: FAIRsharing record for: Predictive Model Markup Language
title: PMML

description: This FAIRsharing record describes:  PMML (Predictive Model Markup Language) uses XML to represent data mining models. The structure of the models is described by an XML Schema. One or more mining models can be contained in a PMML document. A PMML document is an XML document with a root element of type PMML.
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.x8rkjt
title: FAIRsharing record for: MIAPE: Column Chromatography
title: MIAPE-CC

description: This FAIRsharing record describes:  MIAPE - Column Chromatography (MIAPE-CC) is one module of the Minimal Information About a Proteomics Experiment (MIAPE) documentation system. MIAPE is developed by the Proteomics Standards Initiative of the Human Proteome Organisation (HUPO-PSI). It aims at delivering a set of technical guidelines representing the minimal information required to report and sufficiently support assessment and interpretation of a proteomics experiment. This MIAPE-CC module is the result of work carried out through the Sample Processing Workgroup of the Proteome Standards Initiative. It has been designed to specify a minimal set of information to document a column chromatography experiment.
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.d5ff6e
title: FAIRsharing record for: Sustainable Development Goals Interface Ontology
title: SDGIO

description: This FAIRsharing record describes:  The Sustainable Development Goals Interface Ontology (SDGIO) aims to provide a semantic bridge between 1) the Sustainable Development Goals, their targets, and indicators and 2) the large array of entities they refer to. SDGIO will reuse existing ontologies where appropriate.
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.9y3gv0
title: FAIRsharing record for: Enzyme Structure Function Ontology
title: ESFO

description: This FAIRsharing record describes:  The ESFO provides a new paradigm for organizing enzyme sequence, structure, and function information, whereby specific elements of enzyme sequence and structure are mapped to specific conserved aspects of function, thus facilitating the functional annotation of uncharacterized enzymes. The ESFO helps prevent misannotation by emphasizing annotation of enzymes only at the level of functional granularity warranted by available information. The archive is a static snapshot of the data in the SFLD as of April 2019, and will not be updated
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.atygwy
title: FAIRsharing record for: Web Ontology Language
title: OWL

description: This FAIRsharing record describes:  The Web Ontology Language (OWL) is a family of knowledge representation languages or ontology languages for authoring ontologies or knowledge bases. The languages are characterized by formal semantics and RDF/XML-based serializations for the Semantic Web. OWL is endorsed by the World Wide Web Consortium (W3C) and has attracted academic, medical and commercial interest. The OWL 2 Web Ontology Language, informally OWL 2, is an ontology language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents.
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.6mhzhj
title: FAIRsharing record for: Consolidated criteria for reporting qualitative research
title: COREQ

description: This FAIRsharing record describes:  A reporting guideline composed of 32 criteria for qualitative research interviews and focus groups.
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.es2t25
title: FAIRsharing record for: Asset Description Metadata Schema
title: ADMS

description: This FAIRsharing record describes:  ADMS is a schema used to describe data models and specifications, reference data and open source software. The standard aims to extend the use of ADMS for the description of other types of interoperability solutions, meaning solutions covering the political, legal, organisational and technical interoperability layers defined by the European Interoperability Framework.
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.f3efcf
title: FAIRsharing record for: proteomics BAM
title: proBAM

description: This FAIRsharing record describes:  The proteomics BAM (proBAM) file format is designed for storing and analyzing peptide spectrum matches (PSMs) within the context of the genome. proBAM is built upon the SAM format and its compressed binary version, BAM, with necessary modifications to accommodate information specific to proteomics data such as PSM scores and confidence, charge states and peptide level modifications, both artefactual and PTMs (post-translational modifications).
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.a6b4fc
title: FAIRsharing record for: Analyze 7.5 File Format
title: Analyze

description: This FAIRsharing record describes:  Analyze 7.5 can store voxel-based volumes and consists of two files: One file with the actual data in a binary format with the filename extension .img and another file (header with filename extension .hdr) with information about the data such as voxel size and number of voxel in each dimension.
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.ya2wjp
title: FAIRsharing record for: Interaction Ontology
title: IxnO

description: This FAIRsharing record describes:  The Interaction ontology (IxnO) was developed to enable curation of chemical-gene and chemical-protein interactions for the Comparative Toxicogenomics Database (CTD). CTD is a freely available resource that aims to promote understanding and novel hypothesis development about the effects of the environment on human health.
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.hrttzm
title: FAIRsharing record for: MetaIO: MetaImage
title: MHA/MHD

description: This FAIRsharing record describes:  The MHA and MHD file extensions refer to a MetaImage which is part of the MetaIO standard.   The MetaImage format supports multi-dimensional images and uses a tag-value text description of the metadata associated with those images.  Standard metadata includes the information needed to interpret medical images: image origin, orientation, and size in physical space.   This format gained popularity in its used with the Insight Segmentation and Registration Toolkit (ITK). 
* An open-source (Apache 2.0) implementation of the MetaIO standard is available as a C++ library on github: https://github.com/Kitware/MetaIO
* Via the ITK, MetaIO is also available in javascript, python, and several other languages: https://itk.org/
* Documentation on MetaIO is available at https://itk.org/Wiki/ITK/MetaIO/Documentation


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.wd68xv
title: FAIRsharing record for: Brain Region & Cell Type Terminology
title: BRCT

description: This FAIRsharing record describes:  The Brain Region and Cell Type terminology (BRCT) describes brain anatomy with a top-down granularity, from gross regions to cell types. This resource has been created for use in the IMI-funded AETIONOMY project (www.aetionomy.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.z057ar
title: FAIRsharing record for: GenePattern GeneSet Table Format
title: null

description: This FAIRsharing record describes:  GenePattern GeneSet Table Format is an analytical tool and file format for the analysis of gene expression and network analysis provided by GenePattern.
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.