cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.a6r7zs
title: FAIRsharing record for: The bioscientific data analysis and management ontology
title: EDAM

description: This FAIRsharing record describes:  EDAM is a comprehensive ontology of well-established, familiar concepts that are prevalent within bioscientific data analysis and data management (including computational biology, bioinformatics, and bioimage informatics). EDAM includes topics, operations, types of data and data identifiers, and data formats, relevant in data analysis and data management in life sciences. EDAM provides a set of concepts with preferred terms and synonyms, related terms, definitions, and other information - organised into a simple and intuitive hierarchy for convenient use. EDAM is particularly suitable for semantic annotations and categorisation of diverse resources related to data analysis and management: e.g. tools, workflows, learning materials, or standards. EDAM is also useful in data management itself, for recording provenance metadata of processed bioscientific 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.m0pprb
title: FAIRsharing record for: Randomized Controlled Trials Ontology
title: RCTONT

description: This FAIRsharing record describes:  An ontology specifically for Randomized Controlled Trials in order to facilitate the production of systematic reviews and metaanalysis.
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.22041b
title: FAIRsharing record for: Shoreline Metadata Profile of the Content Standards for Digital Geospatial Metadata
title: SMP - CSDGM

description: This FAIRsharing record describes:  The Shoreline Metadata Profile provides the format and content for describing data sets related to shoreline and other coastal data sets. The metadata complies with the FGDC Content Standards for Digital Geospatial Standard. It provides additional terms and data elements required to support metadata for shoreline and coastal data sets.  The profile is primarily oriented toward providing the elements necessary for documenting shoreline data and reaching a common understanding of the shoreline for national mapping purposes and other geospatial and Geographic Information Systems (GIS) applications. Shoreline data are important for coastal zone management, environmental monitoring, resource developments, legal land jurisdictional issues, ocean and meteorological modeling, engineering, construction, planning, and many other uses.
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.3b861d
title: FAIRsharing record for: Data Package
title: Data Package

description: This FAIRsharing record describes:  Data Package is a simple container format used to describe and package a collection of data. The format provides a simple contract for data interoperability that supports frictionless delivery, installation and management of data. A Data Package consists of metadata that describes the structure and contents of the package, and resources (such as data files) that form the contents of the package. The Data Package metadata is stored in a "descriptor". This descriptor is what makes a collection of data a Data Package. In addition to this descriptor a data package will include other resources such as data files. The Data Package specification does NOT impose any requirements on their form or structure and can therefore be used for packaging any kind of 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.xykycz
title: FAIRsharing record for: Transcription Factor Class
title: TFClass

description: This FAIRsharing record describes:  TFClass is a resource that classifies eukaryotic transcription factors (TFs) according to their DNA-binding domains. Combining information from different resources, manually checking the retrieved mammalian TF sequences and applying extensive phylogenetic analyses, >39,000 TFs from up to 41 mammalian species were assigned to the Superclasses, Classes, Families and Subfamilies of TFClass. TFClass provides corresponding sequence collections in FASTA format; sequence logos and phylogenetic trees at different classification levels; predicted TF binding sites for human, mouse, dog and cow genomes; and links to several external databases.
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.8wgn56
title: FAIRsharing record for: Plant names in botanical databases
title: null

description: This FAIRsharing record describes:  This standard defines the taxonomic and nomenclatural concepts associated with the names of plants. It describes the component parts, their functions and their interrelations of significance in structuring a database. The appendices provide an outline of a preliminary data dictionary illustrating possible elements and their properties. It does not provide a data model or a data format. A data model will be considered at a later date by the TDWG Sub-group considering this standard. 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.kfgesz
title: FAIRsharing record for: Guideline for Minimum Information Stroke Research and Clinical Data Reporting
title: GMISR

description: This FAIRsharing record describes:  The Guideline for Minimum Information Stroke Research and Clinical Data Reporting (GMISR) is a standardised reporting guideline for stroke research and clinical data reporting.
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.mad142
title: FAIRsharing record for: Minimum Information about a Nutrigenomics experiment
title: MIAME/Nutr

description: This FAIRsharing record describes:  MIAME/Nutr was developed to extend MIAME for array-based nutrigenomics 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.svzbnp
title: FAIRsharing record for: DEscription Language for TAxonomy
title: DELTA

description: This FAIRsharing record describes:  When taxonomic descriptions are prepared for input to computer programs, the form of the coding is usually dictated by the requirements of a particular program or set of programs. This restricts the type of data that can be represented, and the number of other programs that can use the data. Even when working with a particular program, it is frequently necessary to set up different versions of the same basic data, for example, when using restricted sets of taxa or characters to make special-purpose keys. The potential advantages of automation, especially in connexion with large groups, cannot be realized if the data have to be restructured by hand for every operation. The DELTA (DEscription Language for TAxonomy) system was developed to overcome these problems. It was designed primarily for easy use by people rather than for convenience in computer programming, and is versatile enough to replace the written description as the primary means of recording data. Consequently, it can be used as a shorthand method of recording data, even if computer processing of the data is not envisaged.
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.b49fab
title: FAIRsharing record for: UK GEo-spatial Metadata INteroperability iNItiative Metadata Standard
title: UK GEMINI

description: This FAIRsharing record describes:  The UK GEMINI standard specifies a set of metadata elements for describing geographic information resources. These resources may be datasets, dataset series, services delivering geographic data, or any other information resource with a geospatial content. This includes datasets that relate to a limited geographic area. The data resources may be graphical or textual (tabular or free text), hardcopy or digital. The metadata elements are intended for use in a metadata service for discovering what data resources exist. The aim of UK GEMINI is to provide a core set of metadata elements for use in a UK geospatial metadata service, that are compatible with the INSPIRE requirements for metadata. It does not preclude organisations recording additional metadata elements for their own internal business purposes. GEMINI 2.3, released in June 2018, does not include any changes related to the publication of ISO 19115-1:2014; GEMINI remains based on ISO 19115:2003.
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.b82qvn
title: FAIRsharing record for: Congenital Heart Defects Ontology
title: CHD

description: This FAIRsharing record describes:  Congenital Heart Defects Ontology (CHD) is a standard that represents the ontology of CHD.
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.n8kdkt
title: FAIRsharing record for: Metabolomics Workbench Tabular File Format
title: mwTab

description: This FAIRsharing record describes:  mwTab is a format developed by the Metabolomics Workbench to facilitate programmatic processing of data suitable for submission to the Workbench. It provides a structure for both metadata and experimentally measured data. The mwTab format consists of sequentially ordered blocks (sections) of text data. Some of the blocks consist of data represented by ‘single key to single value’ relationships that store single pieces of information. Other blocks consist of multiple ‘tab’-separated values via ‘single key to multiple values’ or ‘multiple keys to multiple values’ relationships that store multiple pieces of information in an organized manner analogous to a relational 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.ajdxzx
title: FAIRsharing record for: CDISC Operational Data Model
title: CDISC ODM

description: This FAIRsharing record describes:  ODM is a vendor-neutral, platform-independent format (based on XML) for exchanging and archiving clinical and translational research data, along with their associated metadata, administrative data, reference data, and audit information. ODM facilitates the regulatory-compliant acquisition, archival and exchange of metadata and data. It has become the language of choice for representing case report form content in many electronic data capture (EDC) tools. ​
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.fj07xj
title: FAIRsharing record for: NCBI Taxonomy
title: NCBITAXON

description: This FAIRsharing record describes:  The NCBI Taxonomy is a database of taxonomic information. It does not follow a single taxonomic treatise but rather attempts to incorporate phylogenetic and taxonomic knowledge from a variety of sources, including the published literature, web-based databases, and the advice of sequence submitters and outside taxonomy experts.
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.x964fb
title: FAIRsharing record for: MicroArray Gene Expression Markup Language
title: MAGE-ML

description: This FAIRsharing record describes:  This document is a standard that addresses the representation of gene expression data and relevant annotations, as well as mechanisms for exchanging these data. The field of gene expression experiments has several distinct technologies that a standard must include (e.g., single vs. dual channel experiments, cDNA vs. oligonucleotides). Because of these different technologies and different types of gene expression experiments, it is not expected that all aspects of the standard will be used by all organizations. With the acceptance of XML Metadata Interchange as an OMG standard it is possible to specify a normative UML model using a tool such as Rational Rose that describes the data structures for Gene Expression/
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.c3b573
title: FAIRsharing record for: RDF Data Cube Vocabulary
title: null

description: This FAIRsharing record describes:  The Data Cube vocabulary allows the publishing of multi-dimensional data, such as statistics, on the web in such a way that it can be linked to related data sets and concepts. The model underpinning the Data Cube vocabulary is compatible with the cube model that underlies SDMX (Statistical Data and Metadata eXchange), an ISO standard for exchanging and sharing statistical data and metadata among organizations. The Data Cube vocabulary is a core foundation which supports extension vocabularies to enable publication of other aspects of statistical data flows or other multi-dimensional data sets.
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.exmkp8
title: FAIRsharing record for: Neuroscience Information Framework Subcellular Ontology
title: NIFSUBCELL

description: This FAIRsharing record describes:  NIF has developed a comprehensive vocabulary for annotating and searching neuroscience resources. A critical component of the Neuroscience Information Framework (NIF) project is a consistent, flexible terminology that can be used to describe and retrieve neuroscience-relevant resources. NeuroLex is built from our core OWL ontology, NIFSTD, in a modular fashion, with separate modules covering major domains of neuroscience: anatomy, cell, subcellular (the standard described in this record), molecule, function and dysfunction.
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.658tcg
title: FAIRsharing record for: Observational Medical Outcomes Partnership Standardized Vocabularies
title: OMOP Standardized Vocabularies

description: This FAIRsharing record describes:  The OMOP Standardized Vocabularies combine a number of different vocabularies that are used for different aspects of recording healthcare information. These different purposes cause the vocabularies to come with different formats, quality, comprehensiveness and coverage, and life cycle. Even though the content of the vocabularies are left intact, the new format and structural elements will result in a different representation of each vocabulary than its native form.
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.f67zb7
title: FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: RNAi Reagents
title: LINCS 1: RNAi Reagents

description: This FAIRsharing record describes:  The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. RNA interference is a standard methodology to transiently knock down gene expression in living cells. This can be achieved using different types of small RNA molecules, including siRNA, shRNA, and miRNA. Information that is relevant to identify and describe these perturbations include probe ID, name, source/provider, target gene symbol and accession number, sequence of the probe, and modifications to the probe (e.g., chemical modification) if any 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.22j4p7
title: FAIRsharing record for: Plant Anatomy
title: PO_PAE

description: This FAIRsharing record describes:  Plant Anatomy is a controlled vocabulary of plant morphological and anatomical structures representing organs, tissues, cell types, and their biological relationships based on spatial and developmental organization. This standard is now part of PO.
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.3e0sn4
title: FAIRsharing record for: Gene Expression Ontology
title: GeXO

description: This FAIRsharing record describes:  An application ontology for the domain of gene expression. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, and orthology relations using ontological properties from RO and ISO.
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.4ndncv
title: FAIRsharing record for: PRotein Ontology
title: PRO

description: This FAIRsharing record describes:  Protein Ontology (PRO) provides an ontological representation of protein-related entities by explicitly defining them and showing the relationships between them. Each PRO term represents a distinct class of entities (including specific modified forms, orthologous isoforms, and protein complexes) ranging from the taxon-neutral to the taxon-specific. The ontology has a meta-structure encompassing three areas: proteins based on evolutionary relatedness (ProEvo); protein forms produced from a given gene locus (ProForm); and protein-containing complexes (ProComp).
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.956df7
title: FAIRsharing record for: STAndards for the Reporting of Diagnostic accuracy
title: STARD

description: This FAIRsharing record describes:  The objective of the STARD initiative is to improve the accuracy and completeness of reporting of studies of diagnostic accuracy, to allow readers to assess the potential for bias in the study (internal validity) and to evaluate its generalisability (external validity). The STARD statement consists of a checklist of 25 items and recommends the use of a flow diagram which describes the design of the study and the flow of patients. Please note that all STARD-related material is now only available on the EQUATOR 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.