cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.b7e5d8
title: FAIRsharing record for: Content Standard for Digital Geospatial Metadata: Extensions for Remote Sensing Metadata
title: FGDC-STD-012-2002

description: This FAIRsharing record describes:  This standard provides extensions to the Federal Geographic Data Committee (FGDC) Content Standard for Digital Geospatial Metadata for describing geospatial data obtained from remote sensing.
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.aae3v6
title: FAIRsharing record for: Infectious Disease Ontology Core
title: IDO

description: This FAIRsharing record describes:  The IDO ontologies are designed as a set of interoperable ontologies that will together provide coverage of the infectious disease domain. At the core of the set is a general Infectious Disease Ontology (IDO-Core) of entities relevant to both biomedical and clinical aspects of most infectious diseases. Sub-domain specific extensions of IDO-Core complete the set providing ontology coverage of entities relevant to specific pathogens or diseases. Please note that, while the ontology remains available at https://github.com/infectious-disease-ontology/infectious-disease-ontology, it has not been updated in 5 years and should be used with care. Further, the original homepages provided by the resource developers (http://infectiousdiseaseontology.org/ and https://www.bioontology.org//wiki/Index.php/Infectious_Disease_Ontology) are either unavailable or empty.
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.ae8hpt
title: FAIRsharing record for: Descriptive Ontology for Linguistic and Cognitive Engineering
title: DOLCE

description: This FAIRsharing record describes:  DOLCE (Descriptive Ontology for Linguistic and Cognitive Engineering) is a foundational ontology developed as part of the WonderWeb Foundational Ontologies Library (WFOL).  The development of this library has been guided by the need of a reliable set of foundational ontologies that can serve as 1) astarting point for building other ontologies, 2) a reference point for easy and rigorous comparisons among different ontological approaches, and 3) a rigorous basis for analyzing, harmonizing and integrating existing ontologies and metadata standards (by manually mapping them into some general module(s) in the library). DOLCE is the first module of WFOL and it is not a candidate for a universal standard ontology. Rather, it is intended as a starting point for comparing and elucidating the relationships with the other modules of the library, and also for clarifying the hidden assumptions underlying existing ontologies or linguistic resources such as WordNet.  As reflected by its acronym, DOLCE has a clear cognitive bias, in the sense that it aims at capturing the ontological categories underlying natural language and human commonsense. DOLCE is an ontology that focuses on particulars in the sense that its domain of discourse is restricted to them. The project is complete, though the ontology remains available for use.
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.b5cc91
title: FAIRsharing record for: Extensible Markup Language
title: XML

description: This FAIRsharing record describes:  The Extensible Markup Language (XML) describes a class of data objects called XML documents and partially describes the behavior of computer programs which process them. XML is an application profile or restricted form of SGML, the Standard Generalized Markup Language [ISO 8879]. By construction, XML documents are conforming SGML documents. XML documents are made up of storage units called entities, which contain either parsed or unparsed data. Parsed data is made up of characters, some of which form character data, and some of which form markup. Markup encodes a description of the document's storage layout and logical structure. XML provides a mechanism to impose constraints on the storage layout and logical structure.
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.q72e3w
title: FAIRsharing record for: Short Read Archive eXtensible Markup Language
title: SRA-XML

description: This FAIRsharing record describes:  The SRA data model contains the following objects: Study: information about the sequencing project Sample: information about the sequenced samples Experiment: information about the libraries, platform; associated with study, sample(s) and run(s) Run: contains the raw data files Analysis: contains the analysis data files; associated with study, sample and run objects Submission: information about the submission actions include release date. It is used by The Sequence Read Archive (SRA) and the European Nucleotide Archive (ENA) to store raw sequencing data from the next generation of sequencing platforms including Roche 454 GS System, Illumina Genome Analyzer, Applied Biosystems SOLiD System, Helicos Heliscope, Complete Genomics, and Pacific Biosciences SMRT. Please note that the SRA-XML webpage states that "This page has been deprecated and may be removed without 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.8z3xzh
title: FAIRsharing record for: Minimum Information about a Molecular Interaction Experiment
title: MIMIx

description: This FAIRsharing record describes:  MIMIx is a community guideline advising the user on how to fully describe a molecular interaction experiment and which information it is important to capture. The document is designed as a compromise between the necessary depth of information to describe all relevant aspects of the interaction experiment, and the reporting burden placed on the scientist generating the 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.avw5q
title: FAIRsharing record for: Collaborative Computing Project for NMR
title: CCPN data model

description: This FAIRsharing record describes:  The CCPN Data Model for macromolecular NMR is intended to cover all data needed for macromolecular NMR spectroscopy from the initial experimental data to the final validation. It serves for exchange of data between programs, for storage, data harvesting, and database deposition. The data model proper is an abstract description of the relevant data and their relationships - it is implemented in the modeling language UML. From this CCPN autogenerates interfaces (APIs) for various languages, format description and I/O routines, and 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.h6c48k
title: FAIRsharing record for: KEGG Mark-up Language
title: KGML

description: This FAIRsharing record describes:  The KEGG Markup Language (KGML) is an exchange format of the KEGG pathway maps, which is converted from internally used KGML+ (KGML+SVG) format. KGML enables automatic drawing of KEGG pathways and provides facilities for computational analysis and modeling of gene/protein networks and chemical networks.
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.2yv5sa
title: FAIRsharing record for: Clustered Data Table Format
title: null

description: This FAIRsharing record describes:  This is a data table format used in the PUMAdb workflow to transform a .pcl file into a .cdt (clustered data table) file which contains the original data, but reordered, to reflect the clustering.
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.pa6njw
title: FAIRsharing record for: Student Health Record
title: SHR

description: This FAIRsharing record describes:  The goal of the SHR project is to develop an ontology for the description of student health records. Student health records are created for entering college students in order to provide better health services will be formed. This file contains various sections such as history of disease, family history of disease and public examinations.
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.ct3xa3
title: FAIRsharing record for: Plant Structure Development Stage
title: PO PSDS

description: This FAIRsharing record describes:  A controlled vocabulary of growth and developmental stages in various plants. Note that this has been subsumed into the Plant Ontology (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.ezwdhz
title: FAIRsharing record for: Phenotypic QualiTy Ontology
title: PATO

description: This FAIRsharing record describes:  PATO is an ontology of phenotypic qualities, intended for use in a number of applications, primarily phenotype annotation. This ontology can be used in conjunction with other ontologies such as GO or anatomical ontologies to refer to phenotypes.
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.2ffmsb
title: FAIRsharing record for: EDDA Study Designs Taxonomy
title: EDDA

description: This FAIRsharing record describes:  Terminology of study designs and publication types (beta version). Developed by the Evidence in Documents, Discovery, and Analysis (EDDA) Group. Tanja Bekhuis (PI); Eugene Tseytlin (Systems Developer); Ashleigh Faith (Taxonomist). Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pennsylvania, US. This work was made possible, in part, by the US National Library of Medicine, National Institutes of Health, grant no. R00LM010943. Based on research described in Bekhuis T, Demner-Fushman D, Crowley RS. Comparative effectiveness research designs: an analysis of terms and coverage in Medical Subject Headings (MeSH) and Emtree. Journal of the Medical Library Association (JMLA). 2013 April;101(2):92-100. PMC3634392. The terminology appearing in JMLA has been enriched with terms from MeSH, NCI Thesaurus (NCIT), and Emtree, the controlled vocabularies for MEDLINE, the National Cancer Institute, and Embase, respectively, as well as from published research literature. Variants include synonyms for preferred terms, singular and plural forms, and American and British spellings. Definitions, if they exist, are mainly from MeSH, NCIT, Emtree, and medical dictionaries. A class for Publication Type is included because investigators consider type and design when screening reports for inclusion in comparative effectiveness research. EDDA Study Designs and Publications by Tanja Bekhuis is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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.dpkb5f
title: FAIRsharing record for: Semanticscience Integrated Ontology
title: SIO

description: This FAIRsharing record describes:  The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. It provides vocabulary for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects.
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.tghhc4
title: FAIRsharing record for: Pipeline Patterns Ontology
title: PP

description: This FAIRsharing record describes:  To answer the need for a workflow representing a sequence of data transformations, a high-level process ontology was defined, denoted Pipeline Patterns (PP) ontology.  Every concept is generically a Data (class from EDAM), which can be further specified as an Entry (P:00002) or an Exit (P:00009). All Entries can be subjected to an Operation (class from EDAM) producing an Intermediate (P:00010). An Intermediate has a TemporalEntity associated to represent its time of creation. Some Entries are specifically of the type Exit, meaning that they will represent concepts that exit the current category and be passed to the next one on the workflow. Additionally, in order to permit the treatment of a set of objects as a single entity, this high-level ontology considers the concept of List (P:00004) and more specifically an Aggregate (P:00005), containing a set of Data or Entry, respectively. The concept Intermediate is an Entry, allowing for the successive application of an operation to an Element. This is particularly useful in the case of the application of sequential set of operations.
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.t955dp
title: FAIRsharing record for: Read Codes Clinical Terms Version 3
title: CTV3

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. Clinical Terms Version 3 (CTV3) has been merged with the Systematized Nomenclature of Medicine – Reference Terminology (SNOMED RT), resulting in the creation of SNOMED – Clinical Terms (SNOMED CT). PLEASE NOTE: the retirement of Read v2 and v3 (CTV3) clinical terminologies has been scheduled. The last release of Read v2 was April 2016, with CTV3 due to be retired after the April 2018 release. Organisations should be well underway with their preparations to ensure they can use the dictionary of medicines and devices (dm+d) for medicines and SNOMED CT for clinical content. SNOMED CT is adopted across primary care and the wider NHS.
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.yy18av
title: FAIRsharing record for: Minimum Information About a Cellular Assay for Regenerative Medicine
title: MIACARM

description: This FAIRsharing record describes:  Currently, there are more than 20 human cell information storage sites around the world. However, reproducibility and data exchange among different laboratories or cell information providers are usually inadequate or nonexistent because of the lack of a standardized format for experiments. This study, which is the fruit of collaborative work by scientists at stem cell banks and cellular information registries worldwide, including those in the U.S., the U.K., Europe, and Japan, proposes new minimum information guidelines, Minimum Information About a Cellular Assay for Regenerative Medicine (MIACARM), for cellular assay data deposition. MIACARM was developed based on the existing guideline called MIACA. MIACARM is intended to promote data exchange and facilitation of practical regenerative medicine.
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.c82136
title: FAIRsharing record for: United States Geoscience Information Network Metadata Profile
title: USGIN Metadata Profile

description: This FAIRsharing record describes:  The USGIN Metadata Profile describes recommended practices for using ISO19139 xml encoding of ISO 19115 and ISO 19119 metadata to describe a broad spectrum of geoscience resources. The document provides guidance for the population of ISO19139 encoded metadata documents to enable interoperability of catalog service clients with multiple servers conforming to this profile.
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.gozfxu
title: FAIRsharing record for: Signal theory and processing vocabulary
title: null

description: This FAIRsharing record describes:  Vocabulary used for indexing bibliographical records dealing with the field "Signal theory and processing" in the PASCAL database, until 2014. This resource contains 2483 entries in 3 languages (English, French, and Spanish), grouped in 84 collections.
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.5744rq
title: FAIRsharing record for: Sample processing and separations controlled vocabulary
title: sepCV

description: This FAIRsharing record describes:  The sepCV is a controlled vocabulary for teminology associated with sample preparation and sample processing for proteomics. The sepCV was originally designed to provide terminology for the MIAPE GE reporting guidelines and the gelML data transfer format. It has now been expanded to include terminology for gel image informatics to support the MIAPE GI reporting guidelines and the GelInfoML data transfer format. In addition it includes relevant terminology for general sample processing to support the data transfer format of spML. The sepCV is beign jointly developed by the Proteomics Standards Intiative (PSI) and the Metabolomics Standards Intitative (MSI).
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.