PropertyValue
?:about
?:abstract
  • A first step towards identifying and closing data gaps is to take stock of data that already exists. For this dataset, we collected LGBTIQ+ data in European social science archives. We researched all data archives of CESSDA ERIC, the Consortium of European Social Science Data Archives, and found 66 LGBTIQ+ datasets in 9 of the 34 member and partner archives. Besides basic information to identify the datasets and their locations, we recorded temporal and spatial coverage, LGBTIQ+ identities sampled, access category, and keywords. In a separate dataset we take a closer look at the datasets’ keywords. We recorded information about language and whether a given keyword is related to LGBITQ+ identities. To describe the topics covered in the studies, the keywords were mapped to the CESSDA Topic Classification. A sentiment analysis with SentiStrength classifies whether a keyword has negative or positive/neutral sentiment. Additional keywords (https://thesauri.cessda.eu/elsst-4/en/): gender identity, genderqueer, LGBTQI+, non-binary persons, queer persons, transgender persons, sexual orientation, homosexuality, bisexuality, intersex persons (xsd:string)
?:archivedAt
?:category
  • Social Sciences (de)
  • Social Sciences (en)
?:citationString
  • Perry, Anja, & Recker, Jonas (2024): Data on the margins – Data from LGBTIQ+ Populations in European Social Science Data Archives. GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2650 (en)
  • Perry, Anja, & Recker, Jonas (2024): Data on the margins – Data from LGBTIQ+ Populations in European Social Science Data Archives. GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/2650 (de)
?:conditionsOfAccess
  • Free access (without registration) (en)
  • Freier Zugang (ohne Registrierung) (de)
?:currentVersion
  • 1.0.0, https://doi.org/10.7802/2650 (xsd:string)
?:dateCreated
  • 2024 (xsd:gyear)
?:dateModified
  • 2024-01-01 (xsd:date)
?:datePublished
  • 2024 (xsd:gyear)
?:doi
  • 10.7802/2650 ()
?:endDate
  • 2023-01-01 (xsd:date)
?:hasFulltext
  • true (xsd:boolean)
is ?:hasPart of
?:linksCodebook
?:measurementTechnique
  • Querschnitt (de)
  • cross-section (en)
?:name
  • Data on the margins – Data from LGBTIQ+ Populations in European Social Science Data Archives (xsd:string)
?:principalInvestigator
  • Perry, Anja (xsd:string)
  • Recker, Jonas (xsd:string)
  • [Kapohl, Lina; GESIS - Leibniz-Institut für Sozialwissenschaften (Data Collector) [=] Baum, Katrin; GESIS - Leibniz-Institut für Sozialwissenschaften (Other)] (xsd:string)
?:provider
?:publicationType
  • SowiDataNet|datorium (en)
?:publisher
?:selectionMethod
  • Nicht-Wahrscheinlichkeitsauswahl - Bewusste Auswahl (de)
  • Non-probability Sample - Purposive Sample (en)
?:sourceInfo
  • GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2650 (en)
  • GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/2650 (de)
  • GESIS-SowiDataNet|datorium (xsd:string)
?:spatialCoverage
?:startDate
  • 2023-01-01 (xsd:date)
?:studyPublications
  • Recker, Jonas, and Anja Perry. 2024. "Data on the Margins – Data from LGBTIQ+ Populations in European Social Science Data Archives." Data Science Journal 23 39. doi: https://doi.org/10.5334/dsj-2024-039 (xsd:string)
?:thematicCollection
  • Gender roles and gender identity (en)
  • Geschlechtsrollen und Geschlechtsidentität (de)
rdf:type
?:variableMeasured
  • All data records in member and partner archives of CESSDA ERIC. (xsd:string)