The Development of Gender-Responsive Indicators: Towards a Participatory Approach
There is an increasing level of importance around evidence-based policy making and a growing interest in big data in the field of gender equality. Most of the research has been about the amount of data, so much less is known about the quality of data that is needed to be transformative and which ind...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | Danish |
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The Royal Danish Library
2017-09-01
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| Series: | Kvinder, Køn & Forskning |
| Subjects: | |
| Online Access: | https://tidsskrift.dk/KKF/article/view/109790 |
| _version_ | 1818892427750014976 |
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| author | Michéle Amacker Isabelle Schlaepfer Christine Bigler Andrea Graf |
| author_facet | Michéle Amacker Isabelle Schlaepfer Christine Bigler Andrea Graf |
| author_sort | Michéle Amacker |
| collection | DOAJ |
| description | There is an increasing level of importance around evidence-based policy making and a growing interest in big data in the field of gender equality. Most of the research has been about the amount of data, so much less is known about the quality of data that is needed to be transformative and which indicators should be selected. Poorly selected indicators often lead to the representation of simplified social realities and tend to reproduce gender stereotypes. Thus, one of the biggest challenges in big data is the development of quantitative and qualitative gender-responsive indicators that take into account the contextual interpretation of concepts such as wellbeing and the social realm of beneficiaries. Given this background, the aim of this paper is to highlight the importance of the indicator development and selection process as a crucial step towards gender equality. We argue that a participatory research approach, involving the social contexts of involved stakeholders and target groups, offers a promising way to collaboratively improve indicators. This approach allows the development of indicators, which measure policy impacts from an all-inclusive gendered perspective and consider the complexity of programme implications and social conditions. |
| first_indexed | 2024-12-19T17:56:32Z |
| format | Article |
| id | doaj.art-4f43d3baaba04c3bb4f191f444963a5b |
| institution | Directory Open Access Journal |
| issn | 2245-6937 |
| language | Danish |
| last_indexed | 2024-12-19T17:56:32Z |
| publishDate | 2017-09-01 |
| publisher | The Royal Danish Library |
| record_format | Article |
| series | Kvinder, Køn & Forskning |
| spelling | doaj.art-4f43d3baaba04c3bb4f191f444963a5b2022-12-21T20:11:47ZdanThe Royal Danish LibraryKvinder, Køn & Forskning2245-69372017-09-0126110.7146/kkf.v26i1.109790The Development of Gender-Responsive Indicators: Towards a Participatory ApproachMichéle AmackerIsabelle SchlaepferChristine BiglerAndrea GrafThere is an increasing level of importance around evidence-based policy making and a growing interest in big data in the field of gender equality. Most of the research has been about the amount of data, so much less is known about the quality of data that is needed to be transformative and which indicators should be selected. Poorly selected indicators often lead to the representation of simplified social realities and tend to reproduce gender stereotypes. Thus, one of the biggest challenges in big data is the development of quantitative and qualitative gender-responsive indicators that take into account the contextual interpretation of concepts such as wellbeing and the social realm of beneficiaries. Given this background, the aim of this paper is to highlight the importance of the indicator development and selection process as a crucial step towards gender equality. We argue that a participatory research approach, involving the social contexts of involved stakeholders and target groups, offers a promising way to collaboratively improve indicators. This approach allows the development of indicators, which measure policy impacts from an all-inclusive gendered perspective and consider the complexity of programme implications and social conditions.https://tidsskrift.dk/KKF/article/view/109790Big datagender-responsive indicatorsparticipatory research approachevidence-based policy making |
| spellingShingle | Michéle Amacker Isabelle Schlaepfer Christine Bigler Andrea Graf The Development of Gender-Responsive Indicators: Towards a Participatory Approach Kvinder, Køn & Forskning Big data gender-responsive indicators participatory research approach evidence-based policy making |
| title | The Development of Gender-Responsive Indicators: Towards a Participatory Approach |
| title_full | The Development of Gender-Responsive Indicators: Towards a Participatory Approach |
| title_fullStr | The Development of Gender-Responsive Indicators: Towards a Participatory Approach |
| title_full_unstemmed | The Development of Gender-Responsive Indicators: Towards a Participatory Approach |
| title_short | The Development of Gender-Responsive Indicators: Towards a Participatory Approach |
| title_sort | development of gender responsive indicators towards a participatory approach |
| topic | Big data gender-responsive indicators participatory research approach evidence-based policy making |
| url | https://tidsskrift.dk/KKF/article/view/109790 |
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