100+ datasets found
  1. d

    Data from: Data Glossary

    • datasets.ai
    • opendata.maryland.gov
    • +1more
    23, 40, 55, 8
    Updated Aug 6, 2024
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    State of Maryland (2024). Data Glossary [Dataset]. https://datasets.ai/datasets/data-terminology-and-glossary
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    40, 55, 8, 23Available download formats
    Dataset updated
    Aug 6, 2024
    Dataset authored and provided by
    State of Maryland
    Description

    The Data Glossary dataset includes common data terms and definitions that have been standardized within Maryland State Government. This dataset will continue to evolve as new terms come into the landscape.

  2. Data Lexicon Data Dictionary

    • catalog.data.gov
    Updated Aug 11, 2025
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    FEMA/Off of Policy & Pgm Analysis/ENTERPRISE ANALYTICS DIV (2025). Data Lexicon Data Dictionary [Dataset]. https://catalog.data.gov/dataset/data-lexicon-data-dictionary
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    Dataset updated
    Aug 11, 2025
    Dataset provided by
    Federal Emergency Management Agencyhttp://www.fema.gov/
    Description

    The data lexicon provides an application that promotes transparency across all of FEMA for common data terms used by defining common data terms and providing additional context. The data lexicon contains descriptive information on key attributes of datasets such as:rnrnTitle of requested termrnReason for requested termrnStatus of requested termrnUser who requested the term

  3. l

    LScDC (Leicester Scientific Dictionary-Core)

    • figshare.le.ac.uk
    docx
    Updated Apr 15, 2020
    + more versions
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    Neslihan Suzen (2020). LScDC (Leicester Scientific Dictionary-Core) [Dataset]. http://doi.org/10.25392/leicester.data.9896579.v3
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    docxAvailable download formats
    Dataset updated
    Apr 15, 2020
    Dataset provided by
    University of Leicester
    Authors
    Neslihan Suzen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Leicester
    Description

    The LScDC (Leicester Scientific Dictionary-Core Dictionary)April 2020 by Neslihan Suzen, PhD student at the University of Leicester (ns433@leicester.ac.uk/suzenneslihan@hotmail.com)Supervised by Prof Alexander Gorban and Dr Evgeny Mirkes[Version 3] The third version of LScDC (Leicester Scientific Dictionary-Core) is formed using the updated LScD (Leicester Scientific Dictionary) - Version 3*. All steps applied to build the new version of core dictionary are the same as in Version 2** and can be found in description of Version 2 below. We did not repeat the explanation. The files provided with this description are also same as described as for LScDC Version 2. The numbers of words in the 3rd versions of LScD and LScDC are summarized below. # of wordsLScD (v3) 972,060LScDC (v3) 103,998 * Suzen, Neslihan (2019): LScD (Leicester Scientific Dictionary). figshare. Dataset. https://doi.org/10.25392/leicester.data.9746900.v3 ** Suzen, Neslihan (2019): LScDC (Leicester Scientific Dictionary-Core). figshare. Dataset. https://doi.org/10.25392/leicester.data.9896579.v2[Version 2] Getting StartedThis file describes a sorted and cleaned list of words from LScD (Leicester Scientific Dictionary), explains steps for sub-setting the LScD and basic statistics of words in the LSC (Leicester Scientific Corpus), to be found in [1, 2]. The LScDC (Leicester Scientific Dictionary-Core) is a list of words ordered by the number of documents containing the words, and is available in the CSV file published. There are 104,223 unique words (lemmas) in the LScDC. This dictionary is created to be used in future work on the quantification of the sense of research texts. The objective of sub-setting the LScD is to discard words which appear too rarely in the corpus. In text mining algorithms, usage of enormous number of text data brings the challenge to the performance and the accuracy of data mining applications. The performance and the accuracy of models are heavily depend on the type of words (such as stop words and content words) and the number of words in the corpus. Rare occurrence of words in a collection is not useful in discriminating texts in large corpora as rare words are likely to be non-informative signals (or noise) and redundant in the collection of texts. The selection of relevant words also holds out the possibility of more effective and faster operation of text mining algorithms.To build the LScDC, we decided the following process on LScD: removing words that appear in no more than 10 documents (

  4. Archived - Glossary on the COVID-19 pandemic

    • open.canada.ca
    csv, html, xml
    Updated Apr 23, 2025
    + more versions
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    Public Services and Procurement Canada (2025). Archived - Glossary on the COVID-19 pandemic [Dataset]. https://open.canada.ca/data/en/dataset/85ac1ca1-f206-4948-97a7-4c6ccc3ff6dd
    Explore at:
    xml, html, csvAvailable download formats
    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Public Services and Procurement Canadahttp://www.pwgsc.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Since COVID-19 was first identified in December 2019, the number of countries affected by this disease has been increasing; the World Health Organization declared it a pandemic in March 2020. The current global situation requires highly effective communication. The vocabulary used must be understood by everyone, and it is important that all documents have consistent terminology. This glossary is designed as a tool for language professionals as well as those responsible for disseminating information in the context of this pandemic. In it, you will find terms in the fields of medicine, sociology and politics, among others. Please note that some records in this data set may have been updated after the extraction date for this data set. To find the most recent terminology data including textual supports beyond the definitions present in the open data file, consult TERMIUM Plus® or check the Glossary on the COVID-19 pandemic. Please also note that, as a result of technical constraints, some abbreviations may not immediately follow the terms they abbreviate. This dataset is no longer being updated. COVID-19 terminology can be found in the TERMIUM Plus® dataset and in TERMIUM Plus® , the Government of Canada's terminology data bank.

  5. Glosario: A multilingual glossary for computing and data science terms.

    • zenodo.org
    bin
    Updated May 8, 2025
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    Zenodo (2025). Glosario: A multilingual glossary for computing and data science terms. [Dataset]. http://doi.org/10.5281/zenodo.13592138
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    binAvailable download formats
    Dataset updated
    May 8, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    glosario is an open-source glossary of terms used in data science that is available online and also as a library in both R and Python. By adding glossary keys to a lesson’s metadata, authors can indicate what the lesson teaches, what learners ought to know before they start, and where they can go to find that knowledge. Authors can also use the library’s functions to insert consistent hyperlinks for terms and definitions in their lessons in any of several languages. The master copy of the glossary lives in the glossary.yml file.

  6. Data Science Glossary For QA

    • kaggle.com
    Updated Mar 8, 2024
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    Sofianesun (2024). Data Science Glossary For QA [Dataset]. https://www.kaggle.com/datasets/sofianesun/data-science-glossary-for-qa
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 8, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Sofianesun
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    A dataset for the 1st task Explain or teach basic data science concepts of the competition Google – AI Assistants for Data Tasks with Gemma. This dataset contains several glossaries of Data Science, where every sample contains two keys term(vocab name) and definition.

  7. d

    APD Data Dictionary

    • catalog.data.gov
    • datahub.austintexas.gov
    • +1more
    Updated Jul 25, 2025
    + more versions
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    data.austintexas.gov (2025). APD Data Dictionary [Dataset]. https://catalog.data.gov/dataset/apd-data-dictionary
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    Dataset updated
    Jul 25, 2025
    Dataset provided by
    data.austintexas.gov
    Description

    A table of the values and definitions of fields used in Austin Police Department datasets. City of Austin Open Data Terms of Use - https://data.austintexas.gov/stories/s/ranj-cccq

  8. f

    Data from "Obstacles to the Reuse of Study Metadata in ClinicalTrials.gov"

    • figshare.com
    zip
    Updated Jun 1, 2023
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    Laura Miron; Rafael Gonçalves; Mark A. Musen (2023). Data from "Obstacles to the Reuse of Study Metadata in ClinicalTrials.gov" [Dataset]. http://doi.org/10.6084/m9.figshare.12743939.v2
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    zipAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    figshare
    Authors
    Laura Miron; Rafael Gonçalves; Mark A. Musen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This fileset provides supporting data and corpora for the empirical study described in: Laura Miron, Rafael S. Goncalves and Mark A. Musen. Obstacles to the Reuse of Metadata in ClinicalTrials.govDescription of filesOriginal data files:- AllPublicXml.zip contains the set of all public XML records in ClinicalTrials.gov (protocols and summary results information), on which all remaining analyses are based. Set contains 302,091 records downloaded on April 3, 2019.- public.xsd is the XML schema downloaded from ClinicalTrials.gov on April 3, 2019, used to validate records in AllPublicXML.BioPortal API Query Results- condition_matches.csv contains the results of querying the BioPortal API for all ontology terms that are an 'exact match' to each condition string scraped from the ClinicalTrials.gov XML. Columns={filename, condition, url, bioportal term, cuis, tuis}. - intervention_matches.csv contains BioPortal API query results for all interventions scraped from the ClinicalTrials.gov XML. Columns={filename, intervention, url, bioportal term, cuis, tuis}.Data Element Definitions- supplementary_table_1.xlsx Mapping of element names, element types, and whether elements are required in ClinicalTrials.gov data dictionaries, the ClinicalTrials.gov XML schema declaration for records (public.XSD), the Protocol Registration System (PRS), FDAAA801, and the WHO required data elements for clinical trial registrations.Column and value definitions: - CT.gov Data Dictionary Section: Section heading for a group of data elements in the ClinicalTrials.gov data dictionary (https://prsinfo.clinicaltrials.gov/definitions.html) - CT.gov Data Dictionary Element Name: Name of an element/field according to the ClinicalTrials.gov data dictionaries (https://prsinfo.clinicaltrials.gov/definitions.html) and (https://prsinfo.clinicaltrials.gov/expanded_access_definitions.html) - CT.gov Data Dictionary Element Type: "Data" if the element is a field for which the user provides a value, "Group Heading" if the element is a group heading for several sub-fields, but is not in itself associated with a user-provided value. - Required for CT.gov for Interventional Records: "Required" if the element is required for interventional records according to the data dictionary, "CR" if the element is conditionally required, "Jan 2017" if the element is required for studies starting on or after January 18, 2017, the effective date of the FDAAA801 Final Rule, "-" indicates if this element is not applicable to interventional records (only observational or expanded access) - Required for CT.gov for Observational Records: "Required" if the element is required for interventional records according to the data dictionary, "CR" if the element is conditionally required, "Jan 2017" if the element is required for studies starting on or after January 18, 2017, the effective date of the FDAAA801 Final Rule, "-" indicates if this element is not applicable to observational records (only interventional or expanded access) - Required in CT.gov for Expanded Access Records?: "Required" if the element is required for interventional records according to the data dictionary, "CR" if the element is conditionally required, "Jan 2017" if the element is required for studies starting on or after January 18, 2017, the effective date of the FDAAA801 Final Rule, "-" indicates if this element is not applicable to expanded access records (only interventional or observational) - CT.gov XSD Element Definition: abbreviated xpath to the corresponding element in the ClinicalTrials.gov XSD (public.XSD). The full xpath includes 'clinical_study/' as a prefix to every element. (There is a single top-level element called "clinical_study" for all other elements.) - Required in XSD? : "Yes" if the element is required according to public.XSD, "No" if the element is optional, "-" if the element is not made public or included in the XSD - Type in XSD: "text" if the XSD type was "xs:string" or "textblock", name of enum given if type was enum, "integer" if type was "xs:integer" or "xs:integer" extended with the "type" attribute, "struct" if the type was a struct defined in the XSD - PRS Element Name: Name of the corresponding entry field in the PRS system - PRS Entry Type: Entry type in the PRS system. This column contains some free text explanations/observations - FDAAA801 Final Rule FIeld Name: Name of the corresponding required field in the FDAAA801 Final Rule (https://www.federalregister.gov/documents/2016/09/21/2016-22129/clinical-trials-registration-and-results-information-submission). This column contains many empty values where elements in ClinicalTrials.gov do not correspond to a field required by the FDA - WHO Field Name: Name of the corresponding field required by the WHO Trial Registration Data Set (v 1.3.1) (https://prsinfo.clinicaltrials.gov/trainTrainer/WHO-ICMJE-ClinTrialsgov-Cross-Ref.pdf)Analytical Results:- EC_human_review.csv contains the results of a manual review of random sample eligibility criteria from 400 CT.gov records. Table gives filename, criteria, and whether manual review determined the criteria to contain criteria for "multiple subgroups" of participants.- completeness.xlsx contains counts and percentages of interventional records missing fields required by FDAAA801 and its Final Rule.- industry_completeness.xlsx contains percentages of interventional records missing required fields, broken up by agency class of trial's lead sponsor ("NIH", "US Fed", "Industry", or "Other"), and before and after the effective date of the Final Rule- location_completeness.xlsx contains percentages of interventional records missing required fields, broken up by whether record listed at least one location in the United States and records with only international location (excluding trials with no listed location), and before and after the effective date of the Final RuleIntermediate Results:- cache.zip contains pickle and csv files of pandas dataframes with values scraped from the XML records in AllPublicXML. Downloading these files greatly speeds up running analysis steps from jupyter notebooks in our github repository.

  9. o

    Open Data Portal Glossary

    • ukpowernetworks.opendatasoft.com
    csv, excel, json
    Updated Aug 13, 2025
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    (2025). Open Data Portal Glossary [Dataset]. https://ukpowernetworks.opendatasoft.com/explore/dataset/ukpn-business-glossary/
    Explore at:
    csv, excel, jsonAvailable download formats
    Dataset updated
    Aug 13, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Introduction This dataset contains the terms and definitions included on the UKPN Open Data Portal Glossary Page.

    Methodological Approach This dataset is sourced from UK Power Networks internal business glossary.

    Quality Control Statement Quality Control Measures include:

    Manual review and correction of data inconsistencies Use of additional verification steps to ensure accuracy in the methodology

    Assurance Statement The Open Data Team and Data Governance Team worked together to ensure data accuracy and consistency.

    Other UKPN Open Data Portal Glossary helps ensure common understanding of terms, used or related to the datasets published on UKPN Open Data Portal. Download dataset information: Metadata (JSON) Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

  10. E

    Data from: TermFrame: Terms, definitions and semantic annotations for...

    • live.european-language-grid.eu
    binary format
    Updated Nov 17, 2021
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    (2021). TermFrame: Terms, definitions and semantic annotations for karstology [Dataset]. https://live.european-language-grid.eu/catalogue/lcr/20243
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    binary formatAvailable download formats
    Dataset updated
    Nov 17, 2021
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The resource contains several datasets containing domain-specific data in three languages, English, Slovenian and Croatian, which can be used for various knowledge extraction or knowledge modelling tasks. The resource represents knowledge for the domain of karstology, a subfield of geography studying karst and related phenomena. It contains:

    1. Definitions Plain text files contain definitions of karst concepts from relevant glossaries and encyclopaedia, but also definitions which had been extracted from domain-specific corpora.

    2. Annotated definitions Definitions were manually annotated and curated in the WebAnno tool. Annotations include several layers including definition elements, semantic relations following the frame-based theory of terminology (FBT), relation definitors which can be used for learning relation patterns, and semantic categories defined in the domain model.

    3. Terms, definitions and sources The TermFrame knowledge base contains terms and their corresponding concept identifiers, definitions and definition sources.

  11. c

    spendingMontgomery Glossary

    • s.cnmilf.com
    • data.montgomerycountymd.gov
    • +3more
    Updated Jun 29, 2025
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    data.montgomerycountymd.gov (2025). spendingMontgomery Glossary [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/spendingmontgomery-glossary
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    Dataset updated
    Jun 29, 2025
    Dataset provided by
    data.montgomerycountymd.gov
    Description

    County spending glossary (definitions of financial terms) on dataMontgomery. These definitions appear when a user hovers over this term in spendingMontgomery.

  12. d

    Korea Gas Technology Corporation_Homepage System Standard Glossary

    • data.go.kr
    csv
    Updated May 21, 2025
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    (2025). Korea Gas Technology Corporation_Homepage System Standard Glossary [Dataset]. https://www.data.go.kr/en/data/15103153/fileData.do
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    csvAvailable download formats
    Dataset updated
    May 21, 2025
    License

    https://data.go.kr/ugs/selectPortalPolicyView.dohttps://data.go.kr/ugs/selectPortalPolicyView.do

    Description

    This file is a CSV format data that organizes the standard terminology dictionary used in the homepage system. It contains a total of 363 terms. Term name: The name of the term used in the system. Physical name: The physical field name used when implementing a system such as a database. Domain: Indicates the logical data category to which the term belongs. Info type: The type of information, providing data classification criteria. Data type: Specifies the data storage format (e.g. VARCHAR, etc.) of the term. Code name: Indicates the name when managed as a code value, and is mostly blank. Definition: A definition that explains the meaning of the term. Personal information type: Specifies whether the item corresponds to personal information. Public/private status: This item distinguishes the possibility of information being disclosed. This data can be used to unify terms between systems, standardize data, and establish personal information protection and information disclosure standards.

  13. b

    CODATA Research Data Management Terminology

    • bioregistry.io
    Updated Jul 2, 2025
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    (2025). CODATA Research Data Management Terminology [Dataset]. https://bioregistry.io/registry/codata.rdmt
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    Dataset updated
    Jul 2, 2025
    Description

    The goal of the CODATA Research Data Management Terminology is to gather the key terms needed for a common understanding of the research data management domain. The RDMT was revised by the CODATA RDM Terminology Working Group, shared for public review, and then confirmed and finalised in 2023.

    The RDMT grew out of the CASRAI Research Data Management Glossary, which was intended as a practical reference for individuals and groups concerned with the improvement of research data management (RDM). In 2020, CASRAI requested that CODATA assume responsibility for the curation of this valued resource.

    To that end, the RDM Terminology Working Group uses a lightweight and pragmatic biennial process to review the resource now restructured as the CODATA RDM Terminology and suggest any edits, additions and removals that are required in order to develop and improve this important reference resource.

  14. t

    ASR Glossary of Terms

    • data.torontopolice.on.ca
    • hub.arcgis.com
    • +2more
    Updated Nov 9, 2020
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    Toronto Police Service (2020). ASR Glossary of Terms [Dataset]. https://data.torontopolice.on.ca/documents/038f0ecf9f6e438fa14dcfb88ad08a46
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    Dataset updated
    Nov 9, 2020
    Dataset authored and provided by
    Toronto Police Service
    Description

    The ASR Glossary provides definitions of all the terminology used throughout the Annual Statistical Report. It can also be found on Appendices B and C of the ASR Documentation.

  15. Terminology Services

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Mar 16, 2024
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    U.S. EPA Office of Mission Support (OMS) (2024). Terminology Services [Dataset]. https://catalog.data.gov/dataset/terminology-services
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    Dataset updated
    Mar 16, 2024
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    Terminology Services provides tools and services that enable vocabulary development, maintenance and provisioning for the enterprise.

  16. e

    Health Multilingual Terminologies

    • data.europa.eu
    • live.european-language-grid.eu
    • +1more
    pdf, xml, zip
    Updated Dec 15, 2017
    + more versions
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    Directorate-General for Communications Networks, Content and Technology (2017). Health Multilingual Terminologies [Dataset]. https://data.europa.eu/data/datasets/elrc_322?locale=en
    Explore at:
    zip, xml, pdfAvailable download formats
    Dataset updated
    Dec 15, 2017
    Dataset authored and provided by
    Directorate-General for Communications Networks, Content and Technology
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    17 multilingual medical terminologies from Termcat in the following domains: - Anatomy (3610 terms; languages: es, en, ca) - Integrated care (75 terms; languages: es, en,ca) - Pathophysiology (330 terms; languages: es, en, ca) - Chronicity (80 terms; languages: es, en, ca) - Physiotherapy (1818 terms; languages: es, en, ca) - Homeopathy (331 terms; languages: languages: es, en, fr, ca) - Stroke and spinal cord injuries (212 terms; languages: es, en, fr, ca) - Immunology (1312 terms; languages: es, en, fr, ca) - Nursing (904 terms; languages: es, en, fr, ca) - Metabolic disorders (183 terms; languages: es, en, fr, ca) - Neuroscience (1974 terms; languages: es, en, ca) - Ophthalmology (1178 terms; languages: es, en, ca) - Otorhinolaryngology (1079 terms; languages: es, en, ca) - Psychiatry (915 terms; languages: es, en, fr, de, ca) - Clinical Drug Research (710 terms; languages: es, en, ca) - Semiology (1062 terms; languages: es, en, fr, it, ca) - Vaccination (135 terms; languages: es, en, fr, ca)

    This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) actions SMART 2014/1074 and SMART 2015/1091. For further information on the project: http://lr-coordination.eu.

  17. u

    Glossary on the COVID-19 pandemic - Catalogue - Canadian Urban Data...

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Sep 30, 2024
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    (2024). Glossary on the COVID-19 pandemic - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-85ac1ca1-f206-4948-97a7-4c6ccc3ff6dd
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    Dataset updated
    Sep 30, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Since COVID-19 was first identified in December 2019, the number of countries affected by this disease has been increasing; the World Health Organization declared it a pandemic in March 2020. The current global situation requires highly effective communication. The vocabulary used must be understood by everyone, and it is important that all documents have consistent terminology. This glossary is designed as a tool for language professionals as well as those responsible for disseminating information in the context of this pandemic. In it, you will find terms in the fields of medicine, sociology and politics, among others. Please note that some records in this data set may have been updated after the extraction date for this data set. To find the most recent terminology data including textual supports beyond the definitions present in the open data file, consult TERMIUM Plus® or check the Glossary on the COVID-19 pandemic. Please also note that, as a result of technical constraints, some abbreviations may not immediately follow the terms they abbreviate.

  18. e

    Glossary (EN-LT-DA) of General Data Protection Regulation Terms (ELEXIS) -...

    • b2find.eudat.eu
    Updated Oct 22, 2023
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    (2023). Glossary (EN-LT-DA) of General Data Protection Regulation Terms (ELEXIS) - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/a1299b7f-8186-5e54-9974-7073be9bb9aa
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    Dataset updated
    Oct 22, 2023
    Description

    Trilingual glossary (EN-LT-DA) of the English terms referring to personal data and their equivalents in the Lithuanian and Danish languages.

  19. d

    Glossary

    • catalog.data.gov
    • data.ca.gov
    • +1more
    Updated Nov 27, 2024
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    California State Controller's Office (2024). Glossary [Dataset]. https://catalog.data.gov/dataset/glossary-8639e
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California State Controller's Office
    Description

    Learn about local government finance terms and retirement system terms commonly used on this website.

  20. GeoNet Aotearoa New Zealand Glossary of Data-related terms

    • geodata.nz
    Updated Sep 2, 2021
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    GNS Science (2021). GeoNet Aotearoa New Zealand Glossary of Data-related terms [Dataset]. https://geodata.nz/geonetwork/srv/api/records/9b52b56f-e69a-464e-b5de-96590ff42b62
    Explore at:
    www:download-1.0-http--downloadAvailable download formats
    Dataset updated
    Sep 2, 2021
    Dataset authored and provided by
    GNS Sciencehttp://www.gns.cri.nz/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    New Zealand,
    Description

    The GeoNet Aotearoa New Zealand Glossary of Data-related terms is a glossary used within the GeoNet programme. The Glossary is a set of terminologies adapted and used to define in a generalized form and plain language terms and concepts associated with the generation of GeoNet data products.

    This dataset is funded through https://www.geonet.org.nz/sponsors

    DOI: https://doi.org/10.21420/XQS0-0Z48

    Cite as: GNS Science. (2021). GeoNet Aotearoa New Zealand Glossary of Data-related terms [Data set]. GNS Science. https://doi.org/10.21420/XQS0-0Z48

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State of Maryland (2024). Data Glossary [Dataset]. https://datasets.ai/datasets/data-terminology-and-glossary

Data from: Data Glossary

Related Article
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40, 55, 8, 23Available download formats
Dataset updated
Aug 6, 2024
Dataset authored and provided by
State of Maryland
Description

The Data Glossary dataset includes common data terms and definitions that have been standardized within Maryland State Government. This dataset will continue to evolve as new terms come into the landscape.

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