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Queering (meta)data ontologies

Published: 14 May 2018 Publication History

Abstract

Meta/data are not neutral terms and mean various things for different communities and demographics. One such community that lacks much discussion about their ontologies of meta/data are the LGBTQ communities. With current practices of meta/data production, are the opinions of LGBTQ people properly represented? In this paper we position an ongoing project that is trying to understand the opinions of LGBTQ people regarding meta/data. We briefly provide some context to the broader project and also share our study design for the project. From this paper we hope to position how and why this type of work is necessary for LGBTQ people.

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Cited By

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  • (2021)Do I Have To Be An “Other” To Be Myself? Exploring Gender Diversity In Taxonomy, Data Collection, And Through The Research Data LifecycleJournal of eScience Librarianship10.7191/jeslib.2021.121910:4Online publication date: 10-Nov-2021
  • (2020)Leading Future Lives: Producing Meaningful IntelligenceIdentity, Institutions and Governance in an AI World10.1007/978-3-030-36181-5_4(93-130)Online publication date: 11-Jan-2020
  • (2019)Queer(ing) HCIExtended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290607.3311750(1-4)Online publication date: 2-May-2019

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  1. Queering (meta)data ontologies

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    cover image ACM Other conferences
    GenderIT '18: Proceedings of the 4th Conference on Gender & IT
    May 2018
    253 pages
    ISBN:9781450353465
    DOI:10.1145/3196839
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 14 May 2018

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    Author Tags

    1. HCI
    2. critical data studies
    3. queer theory

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    GenderIT '18
    GenderIT '18: Gender & IT 2018
    May 14 - 15, 2018
    Heilbronn, Germany

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    GenderIT '18 Paper Acceptance Rate 39 of 55 submissions, 71%;
    Overall Acceptance Rate 39 of 55 submissions, 71%

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    Cited By

    View all
    • (2021)Do I Have To Be An “Other” To Be Myself? Exploring Gender Diversity In Taxonomy, Data Collection, And Through The Research Data LifecycleJournal of eScience Librarianship10.7191/jeslib.2021.121910:4Online publication date: 10-Nov-2021
    • (2020)Leading Future Lives: Producing Meaningful IntelligenceIdentity, Institutions and Governance in an AI World10.1007/978-3-030-36181-5_4(93-130)Online publication date: 11-Jan-2020
    • (2019)Queer(ing) HCIExtended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290607.3311750(1-4)Online publication date: 2-May-2019

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