Renforcer les systèmes de données ouverts et inclusifs en Afrique et en Asie du Sud-Est

Mekong women in open data in Cambodia, Lao PDR, Myanmar, and Vietnam : overall trends, case studies, what next?

The research highlights significant inequalities in the open data landscape and in the development sector where data reflect existing privilege, class and race. In Mekong countries (Cambodia, Lao PDR, Myanmar, Vietnam) the means to collect, consolidate, and maintain data collection have been developed within male dominated, bureaucratic, hierarchical systems. Equitable access to meaningful data and information is at the core of the Open Development Initiative mandate. The pervasiveness of lived impacts of gender inequalities requires cross‐cutting changes at a systemic level, from multiple perspectives at once. All four countries face challenges due to poverty and inequality, low accountability, transparency and lack of governance.

Auteur ou autrice(s) : Chung, Mia, Chung, Pyrou

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Langage : Anglais

Women and rivers storytelling platform : initial findings report : users and features

Women leaders in water governance in the Mekong region include community leaders, activists, and members of civil society. Because networking and discussion spaces (both on- and offline) are typically male-dominated, women face barriers in participating, which results in a gap in the usefulness of digital and technologically-focused tools. As a form of knowledge co-production with elements of participatory action research, the production of this online platform has the potential to empower women and help build their technical and leadership capacity. This project brief traces activities in preparation and production of the platform.

Auteur ou autrice(s) : Delfau, Karen

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Langage : Anglais

Filling data gaps to support access to civil rights in the Mekong Region

The statistical invisibility of vulnerable populations in Myanmar and the Mekong region limits their access to COVID-19 related relief, and hence their access to civil rights during the pandemic. The paper examines inequalities that have been exacerbated by the pandemic, and how to address gaps in data that lead to invisibility and further marginalization. Efforts to support marginalized peoples to access their digital rights helps amplify their voices in their advocacy for increased realization of civil rights.

Auteur ou autrice(s) : Open Development Mekong

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Langage : Anglais

ວຽກງານດ້ ານຂມ ເພດຍງ ໃນພາກພ ບົດລາຍງານບໍລ ິ ຫານຂອງລາວ

Auteur ou autrice(s) : Open Development Initiative

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Langage : Lao

Cambodia : Mekong women in open data

Auteur ou autrice(s) : Open Development Initiative

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Langage : Khmer

Phụ nữ Mê-kông vàdữ liệu mở báo cáo Việt nam

Auteur ou autrice(s) : Open Development Initiative

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Langage : Vietnamese

Open data risk assessment toolkit : version 1.0 - user guide

The assessment framework is intended to assist civil society organizations (CSOs) in determining: the data assets contained in a dataset; internal and external benefits to each data user upon possession of the data asset; risk factors and their level of severity; and a mitigation plan to deal with the risks. This user guide provides a step-by-step “how-to” for the open data risk assessment toolkit, along with risk mitigation strategies.

Auteur ou autrice(s) :

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Langage : Anglais

Indigenous peoples' data during COVID-19 : from external to internal

This paper explores the particular issues that COVID-19 has highlighted for Indigenous Peoples, focusing on governance. While Indigenous Peoples need timely, relevant, high-quality data to inform their own pandemic response, the collection and use of such data are not without risk. Global disease trackers quantifying the size, spread, and distribution of COVID-19 illustrate the power of data during the pandemic. There are dual concerns about the availability and suppression of COVID-19 data: due to historic and ongoing racism and exclusion, publicly available data can be both beneficial and harmful. Indigenous Data Sovereignty draws upon the United Nations Declaration on the Rights of Indigenous Peoples.

Auteur ou autrice(s) : Carroll, Stephanie Russo, Akee, Randall, Chung, Pyrou, Cormack, Donna, Kukutai, Tahu

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Langage : Anglais

Monitoring the impact of Covid-19 on civil society organizations in data ecosystems across Sub-Saharan Africa : highlights from a survey of CSOs in data ecosystems across Sub-Saharan Africa

Civil society organizations (CSO) within data ecosystems have been affected due to measures put in place to contain/lockdown the COVID-19 pandemic. Data Ecosystems are complex networks, infrastructure, analytics and applications in which various actors interact and collaborate with each other to find, capture, archive, analyze, publish, consume, or reuse data as well as to foster innovation. There have been disruptions in CSO activities and stakeholder engagements, most of which were previously face-to-face, resulting in delays in program implementation, as well as challenges in accessing consistent up to date data on the pandemic and its impacts. The presentation provides details.

Auteur ou autrice(s) : Werimo, Victor

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Langage : Anglais

Drivers of data for development : exploring the factors that enable availability and utility of open data for development in Africa

This paper provides evidence regarding creating an enabling environment for the implementation of successful, adequately resourced open data for development (OD4D) initiatives in Africa, that can catalyse sustainable development outcomes. It also examines the barriers to OD4D, with examples from country case studies. The World Bank defines development data as the data produced by country vital statistics systems (census, national statistical offices, government ministries and agencies) on a country’s social, economic and environmental issues. Creating an enabling environment for the publication and use of data for development is critical for inclusive and sustainable socio-economic development outcomes in Africa.

Auteur ou autrice(s) : Lansana, Amos Simche, Migisha, Claude, Minjire, Dickson, Juma, Linet, Adan, Sulekha, Alemu, Worku

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Langage : Anglais