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Data on the Margins – Data from LGBTIQ+ Populations in European Social Science Data Archives Cover

Data on the Margins – Data from LGBTIQ+ Populations in European Social Science Data Archives

By: Jonas Recker and  Anja Perry  
Open Access
|Jul 2024

Figures & Tables

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Figure 1

CESSDA member countries and partners and the number of LGBTIQ+ datasets in stock. N = 66 datasets. Map created with MapChart.net (CC BY-SA 4.0).

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Figure 2

Temporal coverage of LGBTIQ+ datasets in European data archives. N = 66 datasets. Datasets ordered by start decade. Length of the bar represents decades covered by the datasets. Total bar displays the number of datasets covering a decade, irrespective of start decade.

Table 1

Start decade of temporal coverage and publication decade of LGBTIQ+ datasets in European data archives.

PUBLICATION DECADE
1990200020102020TOTAL
Start decade1920  11
1930  1  910
1940  22
1980  1  2  1  48
1990  3  69
2000  8  8  117
2010  12  517
2020  22
Total  5  22  21  1866
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Figure 3

Samples covered by European LGBTIQ+ datasets by start decade. N = 63 datasets.

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Figure 4

Countries in Europe covered by datasets that include information on (a) sexual orientation, (b) gender identity, and (c) presence of intersex traits in European data archives and the number of datasets covering each country. N = 65 datasets in (a) and (b), 63 datasets in (c). Map created with MapChart.net (CC BY-SA 4.0).

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Figure 5

Countries with European LGBTIQ+ datasets by data collection method. N = 66 datasets.

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Figure 6

Start decade of European LGBTIQ+ datasets by data collection method. N = 66 datasets.

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Figure 7

Data collection methods of European LGBTIQ+ datasets by dataset accessibility. N = 66 datasets.

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Figure 8

Topics covered by 65 LGBTIQ+ studies on the top level of the CESSDA Topic Classification 4.2.2 (English). Derived by classifying study keywords, N = 970.

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Figure 9

Selected topics covered by start decades, top level of the CESSDA Topic Classification 4.2.2 (English). Derived by classifying study keywords, N = 604.

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Figure 10

Topics co-occurrences, top level of the CESSDA Topic Classification 4.2.2 (English). Derived by classifying study keywords, network graph algorithm: Fruchterman and Reingold (1991), N = 970.

Table 2

‘HEALTH’ topic gaps. Absolute count per subcategory and percentage of all keywords, N = 970.

04. HEALTHCOUNT% OF ALL KEYWORDS
Diet and nutrition40.4%
Drug abuse, alcohol and smoking202.1%
General health and well-being252.6%
Health care services and policies212.2%
Medication and treatment222.3%
Occupational health00.0%
Physical fitness and exercise90.9%
Public health20.2%
Reproductive health60.6%
Signs and symptoms; pathological conditions151.5%
Specific diseases, disorders and medical conditions171.7%
Wounds and injuries50.5%
Other20.2%
Table 3

‘Social stratification and groupings’ topic gaps. Absolute count per subcategory and percentage of all keywords, N = 970.

14. SOCIAL STRATIFICATION AND GROUPINGSCOUNT% OF ALL KEYWORDS
Adults10.1%
Children90.9%
Elderly00.0%
Elites and leadership00.0%
Equality, inequality and social exclusion434.4%
Ethnic groups90.9%
Family life and marriage636.5%
Gender and gender roles262.7%
Minorities333.4%
Sexuality and sexual identity13814.2%
Social and occupational mobility00.0%
Youth70.7%
Other80.8%
Table 4

‘SOCIETY AND CULTURE’ topic gaps. Absolute count per subcategory and percentage of all keywords, N = 970.

16. SOCIETY AND CULTURECOUNT% OF ALL KEYWORDS
Community, urban and rural life60.6%
Cultural activities and participation10.1%
Identity60.6%
Leisure, tourism and sport80.8%
Religion and values202.1%
Social behavior and attitudes666.8%
Social change40.4%
Social conditions and indicators60.6%
Time use10.1%
Other40.4%
Language: English
Submitted on: Jan 18, 2024
Accepted on: Jul 3, 2024
Published on: Jul 23, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Jonas Recker, Anja Perry, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.