Browsing by Subject "Women in STEM"

Now showing 1 - 3 of 3
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    Bringing the Canadian Archive of Women in STEM to Wikidata: How Wikidata can be used in an archival context
    (2020-06-08) Lee, Yoo Young; Lemus-Rojas, Mairelys; Bokovay, Marina
    Libraries and archives can play a critical role in the creation and curation of data in Wikidata to ensure underrepresented communities are not only included, but also properly described in the knowledge base. This workshop will provide a brief overview of Wikidata in the archival context and its possible uses. We will also share our experiences using Wikidata for the the Canadian Archive of Women in STEM initiative (https://biblio.uottawa.ca/en/women-in-stem/about) based on the WikiProject Archival Description initiative (https://www.wikidata.org/wiki/Wikidata:WikiProject_Archival_Description). The goal of the Canadian Archive of Women in STEM is to bring attention to and promote the discovery of the archival records of women in STEM held by Canadian institutions–a bilingual portal containing descriptive metadata, a biographical sketch/admin history about the women/organizations and information about the host institution–in order to provide a simplified avenue for researchers to discover all available holdings. Contributing the archival metadata and the biographical sketch, as well as links to the host institutions to Wikidata could further increase the visibility of collections, finding aids, as well as the institutions themselves, beyond archival or library systems. This workshop is designed to be interactive with a series of hands-on activities which includes a demonstration of how to contribute content from archival finding aids to Wikidata as well as an introduction on efficient workflows and useful tools for contributing, visualizing and querying the data. This workshop aims to encourage archivists to participate in the open knowledge movement and contribute their unique collections to Wikidata to expand their findability and reach.
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    Consequences of gender composition during a diversity intervention
    (2017-06) Ozgumus, Ezgi; Pietri, Evava S.
    Persistent gender bias (i.e., favorable treatment of men over women) has been consistently documented as the most likely cause perpetuating gender disparity in STEM occupations. It is therefore crucial to develop effective diversity interventions that increase awareness of gender bias and decrease sexism in STEM. However, interventions that facilitate greater recognition of gender bias in STEM may inadvertently trigger social identity concerns for women, suggesting they may not fit in those environments. Moreover, women may be less comfortable speaking up in groups where their gender is numerically underrepresented. To mitigate these negative consequences, current research tested the effectiveness of gender composition in a virtual group setting as an identity-safe cue. Results suggested that in groups that consisted primarily of women, participants identified more with their group and this increased identification, in turn, helped alleviate social identity threat. Additionally, participants in female majority groups were more likely than those in female minority groups to participate in group discussions via increased identification with their group. Thus, our findings indicated that diversity practitioners should consider exploring whether diversity interventions in STEM also inadvertently elicit social identity threat for women. Additionally, when developing new trainings, it is important to incorporate identity-safe cues in order to neutralize any potential threat associated with these trainings.
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    Using Wikidata to Provide Visibility to Women in STEM
    (2019-09-24) Lemus-Rojas, Mairelys; Lee, Yoo Young
    Wikidata is an open knowledge base that stores structured linked data. It contains over 58 million items (“Wikidata:Statistics,” n.d.), but its data reveal a noticeable and prevalent gender disparity. In an effort to contribute to the growth and enhancement of women entries in Wikidata, the Indiana University-Purdue University Indianapolis (IUPUI) University Library and the University of Ottawa Library collaborated to embark on pilot projects that broaden the representation and enhance the visibility of women in STEM (Science, Technology, Engineering, and Mathematics). In this article, we share the methods used at both institutions for collecting faculty data, batch ingesting data using external tools, as well as mapping archival data to existing Wikidata properties. We also discuss the challenges faced during the pilot projects.